A B C D E F G H I J K L M N O P Q R S T U V W X Y Z _ 

A

A_AT - Static variable in class ec.Evolve
The argument indicating the class where the resource is relative to.
A_CHECKPOINT - Static variable in class ec.Evolve
The argument indicating that we're starting up from a checkpoint file.
A_FILE - Static variable in class ec.eval.Slave
The argument indicating that we're starting fresh from a new parameter file.
A_FILE - Static variable in class ec.Evolve
The argument indicating that we're starting fresh from a new parameter file.
A_FROM - Static variable in class ec.Evolve
The argument indicating that we're starting fresh from a parameter file stored in a jar file or as some resource.
A_HELP - Static variable in class ec.Evolve
The argument indicating a request to print out the help message.
ACCESSED - Static variable in class ec.util.ParameterDatabaseEvent
 
addArgument(GrammarNode) - Method in class ec.gp.ge.GrammarFunctionNode
Adds a given argument to the node.
addChoice(GrammarNode) - Method in class ec.gp.ge.GrammarRuleNode
Adds a choice to the children of this node.
addDataPoint(int, double, double) - Method in class ec.display.chart.XYSeriesChartStatistics
 
addLog(File, int, boolean, boolean, boolean) - Method in class ec.util.Output
Deprecated.
Verbosity no longer has an effect.
addLog(File, int, boolean, boolean) - Method in class ec.util.Output
Deprecated.
Verbosity no longer has an effect
addLog(File, boolean, boolean, boolean) - Method in class ec.util.Output
Creates a new log and adds it to Output.
addLog(File, boolean, boolean) - Method in class ec.util.Output
Creates a new log and adds it to Output.
addLog(File, boolean) - Method in class ec.util.Output
Creates a new log and adds it to Output.
addLog(int, int, boolean) - Method in class ec.util.Output
Deprecated.
Verbosity no longer has an effect
addLog(int, boolean) - Method in class ec.util.Output
Creates a new log and adds it to Output.
addLog(Writer, LogRestarter, int, boolean, boolean) - Method in class ec.util.Output
Deprecated.
Verbosity no longer has an effect
addLog(Writer, LogRestarter, boolean, boolean) - Method in class ec.util.Output
Creates a new log and adds it to Output.
addLog(Log) - Method in class ec.util.Output
Adds the given log to Output.
addParent(ParameterDatabase) - Method in class ec.util.ParameterDatabase
 
addRandomRule(EvolutionState, int) - Method in class ec.rule.RuleSet
Add a random rule to the rule set
addRule(Rule) - Method in class ec.rule.RuleSet
Add a rule directly to the rule set.
addSeries(String) - Method in class ec.display.chart.XYSeriesChartStatistics
 
addTreeModelListener(TreeModelListener) - Method in class ec.util.ReflectedObject
 
ADF - Class in ec.gp
An ADF is a GPNode which implements an "Automatically Defined Function", as described in Koza II.
ADF() - Constructor for class ec.gp.ADF
 
adf - Variable in class ec.gp.ADFContext
The ADF/ADM node proper
ADFArgument - Class in ec.gp
An ADFArgument is a GPNode which represents an ADF's argument terminal, its counterpart which returns argument values in its associated function tree.
ADFArgument() - Constructor for class ec.gp.ADFArgument
 
ADFContext - Class in ec.gp
ADFContext is the object pushed onto an ADF stack which represents the current context of an ADM or ADF function call, that is, how to get the argument values that argument_terminals need to return.
ADFContext() - Constructor for class ec.gp.ADFContext
 
ADFStack - Class in ec.gp
ADFStack is a special data object used to hold ADF data.
ADFStack() - Constructor for class ec.gp.ADFStack
 
adjustedFitness() - Method in class ec.gp.koza.KozaFitness
Returns the adjusted fitness metric, which recasts the fitness to the half-open interval (0,1], where 1 is ideal and 0 is worst.
ADM - Class in ec.gp
An ADM is an ADF which doesn't evaluate its arguments beforehand, but instead only evaluates them (and possibly repeatedly) when necessary at runtime.
ADM() - Constructor for class ec.gp.ADM
 
afterCoevolutionaryEvaluation(EvolutionState, Population, GroupedProblemForm) - Method in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
ALL_MESSAGE_LOGS - Static variable in class ec.util.Output
 
allowOverEvaluation - Variable in class ec.coevolve.CompetitiveEvaluator
 
allValid(Individual[], int, int, EvolutionState, int) - Method in class ec.breed.CheckingPipeline
 
appendOnRestart - Variable in class ec.util.Log
If the log writes to a file, should it append to the file on restart, or should it overwrite the file?
argposition - Variable in class ec.gp.GPNode
The argument position of the child in its parent.
argument - Variable in class ec.gp.ADFArgument
 
arguments - Variable in class ec.gp.ADFContext
An array of GPData nodes (none of the null, when it's used) holding an ADF's arguments' return results
arity - Variable in class ec.gp.build.RandTree.ArityObject
 
assignFrontRanks(Subpopulation) - Method in class ec.multiobjective.nsga2.NSGA2Evaluator
Divides inds into ranks and assigns each individual's rank to be the rank it was placed into.
assignSparsity(Individual[]) - Method in class ec.multiobjective.nsga2.NSGA2Evaluator
Computes and assigns the sparsity values of a given front.
associatedTree - Variable in class ec.gp.ADF
The ADF's associated tree
atDepth() - Method in class ec.gp.GPNode
Returns the depth at which I appear in the tree, which is a value >= 0.
author - Static variable in class ec.util.Version
 
authorEmail0 - Static variable in class ec.util.Version
 
authorEmail1 - Static variable in class ec.util.Version
 
authorEmail2 - Static variable in class ec.util.Version
 
authorURL - Static variable in class ec.util.Version
 
AUXILLARY_PREAMBLE - Static variable in class ec.pso.Particle
 

B

backupPopulation - Variable in class ec.simple.SimpleBreeder
 
BAD_TREE - Static variable in class ec.gp.ge.GEIndividual
 
BadParameterException - Exception in ec.util
Thrown when you attempt to create a Parameter from bad path items.
BadParameterException(String) - Constructor for exception ec.util.BadParameterException
 
BarChartStatistics - Class in ec.display.chart
 
BarChartStatistics() - Constructor for class ec.display.chart.BarChartStatistics
 
base() - Static method in class ec.breed.BreedDefaults
Returns the default base.
base() - Static method in class ec.ECDefaults
Returns the default base.
base() - Static method in class ec.es.ESDefaults
Returns the default base.
base - Variable in class ec.eval.MetaProblem
The parameter base from which the MetaProblem was loaded.
base - Variable in class ec.exchange.InterPopulationExchange
My parameter base -- I need to keep this in order to help the server reinitialize contacts
base - Variable in class ec.exchange.IslandExchange
My parameter base -- I need to keep this in order to help the server reinitialize contacts
base() - Static method in class ec.gp.breed.GPBreedDefaults
Returns the default base, which is built off of the GPDefaults base.
base() - Static method in class ec.gp.build.GPBuildDefaults
Returns the default base.
base() - Static method in class ec.gp.ge.GEDefaults
Returns the default base.
base() - Static method in class ec.gp.GPDefaults
Returns the default base.
base() - Static method in class ec.gp.koza.GPKozaDefaults
Returns the default base, which is built off of the GPDefaults base.
base() - Static method in class ec.gp.push.PushDefaults
Returns the default base.
base() - Static method in class ec.multiobjective.MultiObjectiveDefaults
Returns the default base.
base() - Static method in class ec.rule.RuleDefaults
Returns the default base.
base() - Static method in class ec.select.SelectDefaults
Returns the default base.
base() - Static method in class ec.simple.SimpleDefaults
Returns the default base.
base() - Static method in class ec.spatial.SpatialDefaults
Returns the default base.
base() - Static method in class ec.steadystate.SteadyStateDefaults
Returns the default base.
base() - Static method in class ec.vector.VectorDefaults
Returns the default base.
batchMode - Variable in class ec.eval.MasterProblem
 
beforeCoevolutionaryEvaluation(EvolutionState, Population, GroupedProblemForm) - Method in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
Best1BinDEBreeder - Class in ec.de
Best1BinDEBreeder is a differential evolution breeding operator.
Best1BinDEBreeder() - Constructor for class ec.de.Best1BinDEBreeder
 
best_of_run - Variable in class ec.simple.SimpleStatistics
The best individual we've found so far
bestn - Variable in class ec.select.BestSelection
 
bestnFrac - Variable in class ec.select.BestSelection
 
bestOfGeneration - Variable in class ec.simple.SimpleShortStatistics
 
BestSelection - Class in ec.select
Performs a tournament selection restricted to only the best, or worst, n indivdiuals in the population.
BestSelection() - Constructor for class ec.select.BestSelection
 
bestSoFar - Variable in class ec.simple.SimpleShortStatistics
 
bestSoFarIndex - Variable in class ec.de.DEBreeder
the best individuals in each population (required by some DE breeders).
bestUnderlyingIndividual - Variable in class ec.eval.MetaProblem
The best underlying individual array, one per subpopulation.
betterThan(Fitness) - Method in class ec.Fitness
Should return true if this fitness is clearly better than _fitness; You may assume that _fitness is of the same class as yourself.
betterThan(Fitness) - Method in class ec.gp.koza.KozaFitness
 
betterThan(Fitness) - Method in class ec.multiobjective.MultiObjectiveFitness
Returns true if I'm better than _fitness.
betterThan(Fitness) - Method in class ec.multiobjective.nsga2.NSGA2MultiObjectiveFitness
We specify the tournament selection criteria, Rank (lower values are better) and Sparsity (higher values are better)
betterThan(Fitness) - Method in class ec.multiobjective.spea2.SPEA2MultiObjectiveFitness
The selection criteria in SPEA2 uses the computed fitness, and not pareto dominance.
betterThan(Individual, Individual, int, EvolutionState, int) - Method in class ec.parsimony.LexicographicTournamentSelection
 
betterThan(Individual, Individual, int, EvolutionState, int) - Method in class ec.parsimony.ProportionalTournamentSelection
 
betterThan(Individual, Individual, int, EvolutionState, int) - Method in class ec.select.TournamentSelection
Returns true if *first* is a better (fitter, whatever) individual than *second*.
betterThan(Fitness) - Method in class ec.simple.SimpleFitness
 
BIG_TREE_ERROR - Static variable in class ec.gp.ge.GESpecies
 
BitVectorIndividual - Class in ec.vector
BitVectorIndividual is a VectorIndividual whose genome is an array of booleans.
BitVectorIndividual() - Constructor for class ec.vector.BitVectorIndividual
 
BitVectorSpecies - Class in ec.vector
BitVectorSpecies is a subclass of VectorSpecies with special constraints for boolean vectors, namely BitVectorIndividual.
BitVectorSpecies() - Constructor for class ec.vector.BitVectorSpecies
 
BoltzmannSelection - Class in ec.select
Similar to FitProportionateSelection, but with a Simulated Annealing style twist.
BoltzmannSelection() - Constructor for class ec.select.BoltzmannSelection
 
BOOLEAN_CONSTANT - Static variable in class ec.gp.ge.GrammarParser
 
BreedDefaults - Class in ec.breed
 
BreedDefaults() - Constructor for class ec.breed.BreedDefaults
 
Breeder - Class in ec
A Breeder is a singleton object which is responsible for the breeding process during the course of an evolutionary run.
Breeder() - Constructor for class ec.Breeder
 
breeder - Variable in class ec.EvolutionState
The population breeder, a singleton object.
breedIndividual(EvolutionState, int, int) - Method in class ec.steadystate.SteadyStateBreeder
 
BreedingPipeline - Class in ec
A BreedingPipeline is a BreedingSource which provides "fresh" individuals which can be used to fill a new population.
BreedingPipeline() - Constructor for class ec.BreedingPipeline
 
BreedingSource - Class in ec
A BreedingSource is a Prototype which provides Individuals to populate new populations based on old ones.
BreedingSource() - Constructor for class ec.BreedingSource
 
breedPopChunk(Population, EvolutionState, int[], int[], int) - Method in class ec.es.MuCommaLambdaBreeder
A private helper function for breedPopulation which breeds a chunk of individuals in a subpopulation for a given thread.
breedPopChunk(Population, EvolutionState, int[], int[], int) - Method in class ec.simple.SimpleBreeder
A private helper function for breedPopulation which breeds a chunk of individuals in a subpopulation for a given thread.
breedPopChunk(Population, EvolutionState, int[], int[], int) - Method in class ec.spatial.SpatialBreeder
 
breedPopulation(EvolutionState) - Method in class ec.Breeder
Breeds state.population, returning a new population.
breedPopulation(EvolutionState) - Method in class ec.de.DEBreeder
 
breedPopulation(EvolutionState) - Method in class ec.es.MuCommaLambdaBreeder
 
breedPopulation(EvolutionState) - Method in class ec.multiobjective.nsga2.NSGA2Breeder
Override breedPopulation().
breedPopulation(EvolutionState) - Method in class ec.pso.PSOBreeder
 
breedPopulation(EvolutionState) - Method in class ec.simple.SimpleBreeder
A simple breeder that doesn't attempt to do any cross- population breeding.
breedthreads - Variable in class ec.EvolutionState
The requested number of threads to be used in breeding, excepting perhaps a "parent" thread which gathers the other threads.
BucketTournamentSelection - Class in ec.parsimony
Does a tournament selection, limited to the subpopulation it's working in at the time.
BucketTournamentSelection() - Constructor for class ec.parsimony.BucketTournamentSelection
 
buffer - Variable in class ec.breed.BufferedBreedingPipeline
 
BufferedBreedingPipeline - Class in ec.breed
If empty, a BufferedBreedingPipeline makes a request of exactly num-inds individuals from a single child source; it then uses these individuals to fill requests (returning min each time), until the buffer is emptied, at which time it grabs exactly num-inds more individuals, and so on.
BufferedBreedingPipeline() - Constructor for class ec.breed.BufferedBreedingPipeline
 
buildArchive(EvolutionState, int) - Method in class ec.multiobjective.nsga2.NSGA2Evaluator
Build the auxiliary fitness data and reduce the subpopulation to just the archive, which is returned.
buildArchive(EvolutionState, Individual[], Individual[], int) - Method in class ec.multiobjective.spea2.SPEA2Breeder
 
buildDyckWord(int, int[], int[], EvolutionState, int) - Method in class ec.gp.build.RandTree
 
builder - Variable in class ec.gp.koza.MutationPipeline
How the pipeline builds a new subtree
buildOutput() - Static method in class ec.Evolve
Constructs and sets up an Output object.
buildTree(EvolutionState, int) - Method in class ec.gp.GPTree
Builds a new randomly-generated rooted tree and attaches it to the GPTree.
buildTreeModel() - Method in class ec.util.ParameterDatabase
Builds a TreeModel from the available property keys.
bypassFinalStatistics(EvolutionState, int) - Method in class ec.simple.SimpleStatistics
Allows MultiObjectiveStatistics etc.
ByteVectorIndividual - Class in ec.vector
ByteVectorIndividual is a VectorIndividual whose genome is an array of bytes.
ByteVectorIndividual() - Constructor for class ec.vector.ByteVectorIndividual
 

C

C_ANY_POINT - Static variable in class ec.vector.VectorSpecies
 
C_AUTO - Static variable in class ec.simple.SimpleEvaluator
 
C_CLASS - Static variable in class ec.util.ParameterDatabase
 
C_EXACTLY_ONE_FIFTH_BETTER - Static variable in class ec.es.MuCommaLambdaBreeder
 
C_FLIP_MUTATION - Static variable in class ec.vector.BitVectorSpecies
 
C_GAUSS_MUTATION - Static variable in class ec.vector.FloatVectorSpecies
 
C_GEOMETRIC - Static variable in class ec.vector.VectorSpecies
 
C_HERE - Static variable in class ec.util.ParameterDatabase
 
C_INTEGER_RANDOM_WALK_MUTATION - Static variable in class ec.vector.FloatVectorSpecies
 
C_INTEGER_RESET_MUTATION - Static variable in class ec.vector.FloatVectorSpecies
 
C_INTERMED_RECOMB - Static variable in class ec.vector.VectorSpecies
 
C_LINE_RECOMB - Static variable in class ec.vector.VectorSpecies
 
C_NEIGHBORHOOD_RANDOM - Static variable in class ec.pso.PSOBreeder
 
C_NEIGHBORHOOD_RANDOM_EACH_TIME - Static variable in class ec.pso.PSOBreeder
 
C_NEIGHBORHOOD_TOROIDAL - Static variable in class ec.pso.PSOBreeder
 
C_NONE - Static variable in class ec.vector.VectorSpecies
 
C_ONE_POINT - Static variable in class ec.vector.VectorSpecies
 
C_ONE_POINT_NO_NOP - Static variable in class ec.vector.VectorSpecies
 
C_OVER_ONE_FIFTH_BETTER - Static variable in class ec.es.MuCommaLambdaBreeder
 
C_POLYNOMIAL_MUTATION - Static variable in class ec.vector.FloatVectorSpecies
 
C_RANDOM_WALK_MUTATION - Static variable in class ec.vector.IntegerVectorSpecies
 
C_RESET_MUTATION - Static variable in class ec.vector.BitVectorSpecies
 
C_RESET_MUTATION - Static variable in class ec.vector.FloatVectorSpecies
 
C_RESET_MUTATION - Static variable in class ec.vector.IntegerVectorSpecies
 
C_SIMULATED_BINARY - Static variable in class ec.vector.VectorSpecies
 
C_STARTED_FRESH - Static variable in class ec.EvolutionState
"The population has started fresh (not from a checkpoint)."
C_STARTED_FROM_CHECKPOINT - Static variable in class ec.EvolutionState
"The population started from a checkpoint."
C_TWO_POINT - Static variable in class ec.vector.VectorSpecies
 
C_TWO_POINT_NO_NOP - Static variable in class ec.vector.VectorSpecies
 
C_UNDER_ONE_FIFTH_BETTER - Static variable in class ec.es.MuCommaLambdaBreeder
 
C_UNIFORM - Static variable in class ec.vector.VectorSpecies
 
CACHE_SIZE - Static variable in class ec.gp.build.PTCFunctionSet
 
calculateDistances(EvolutionState, Individual[]) - Method in class ec.multiobjective.spea2.SPEA2Evaluator
Returns a matrix of sum squared distances from each individual to each other individual.
calculateDistancesFromIndividual(Individual, Individual[]) - Method in class ec.multiobjective.spea2.SPEA2Breeder
 
canEvaluate() - Method in class ec.eval.MasterProblem
 
canEvaluate() - Method in class ec.gp.ge.GEProblem
 
canEvaluate() - Method in class ec.Problem
Asynchronous Steady-State EC only: Returns true if the problem is ready to evaluate.
canEvaluate() - Method in class ec.steadystate.SteadyStateEvaluator
Returns true if we're ready to evaluate an individual.
canPick() - Method in class ec.gp.GPNodeBuilder
Returns true if some size distribution (either minSize and maxSize, or sizeDistribution) is set up by the user in order to pick sizes randomly.
ChartableStatistics - Class in ec.display.chart
 
ChartableStatistics() - Constructor for class ec.display.chart.ChartableStatistics
 
chatty - Variable in class ec.exchange.InterPopulationExchange
 
CHECK_BOUNDARY - Static variable in class ec.gp.GPNodeBuilder
 
CHECKBOUNDARY - Static variable in class ec.util.RandomChoice
 
checkConstraints(EvolutionState, int, GPIndividual, Parameter) - Method in class ec.gp.ADF
Checks type-compatibility constraints between the ADF, its argument terminals, and the tree type of its associated tree, and also checks to make sure the tree exists, there aren't invalid argument terminals in it, and there are sufficient argument terminals (a warning).
checkConstraints(EvolutionState, int, GPIndividual, Parameter) - Method in class ec.gp.GPNode
You ought to override this method to check to make sure that the constraints are valid as best you can tell.
checkDyckWord(String) - Method in class ec.gp.build.RandTree
 
checkForHelp(String[]) - Static method in class ec.Evolve
Optionally prints the help message.
CheckingPipeline - Class in ec.breed
CheckingPipeline is a BreedingPipeline which just passes through the individuals it receives from its source 0, but only if those individuals ALL pass a validation check (the method allValid(), which you must override).
CheckingPipeline() - Constructor for class ec.breed.CheckingPipeline
 
checkpoint - Variable in class ec.EvolutionState
Should we checkpoint at all?
Checkpoint - Class in ec.util
Checkpoints ec.EvolutionState objects out to checkpoint files, or restores the same from checkpoint files.
Checkpoint() - Constructor for class ec.util.Checkpoint
 
checkpointDirectory - Variable in class ec.EvolutionState
The requested directory where checkpoints should be located.
checkpointModulo - Variable in class ec.EvolutionState
The requested number of generations that should pass before we write out a checkpoint file.
checkpointPrefix - Variable in class ec.EvolutionState
The requested prefix to start checkpoint filenames, not including a following period.
checkPreamble(String, EvolutionState, LineNumberReader) - Static method in class ec.util.Code
Finds the next nonblank line, then trims the line and checks the preamble.
child - Variable in class ec.gp.GPTree
the root GPNode in the GPTree
CHILD_D - Variable in class ec.gp.build.Uniform
 
children - Variable in class ec.gp.ge.GrammarNode
 
children - Variable in class ec.gp.GPNode
 
children - Variable in class ec.Statistics
 
CHILDREN_UNKNOWN - Static variable in class ec.gp.GPNode
 
childtypes - Variable in class ec.gp.GPNodeConstraints
The children types for a GPNode
chunksize - Variable in class ec.vector.VectorSpecies
How big of chunks should we define for crossover?
clamp() - Method in class ec.vector.ByteVectorIndividual
Clips each gene value to be within its specified [min,max] range.
clamp() - Method in class ec.vector.DoubleVectorIndividual
Clips each gene value to be within its specified [min,max] range.
clamp() - Method in class ec.vector.FloatVectorIndividual
Clips each gene value to be within its specified [min,max] range.
clamp() - Method in class ec.vector.IntegerVectorIndividual
Clips each gene value to be within its specified [min,max] range.
clamp() - Method in class ec.vector.LongVectorIndividual
Clips each gene value to be within its specified [min,max] range.
clamp() - Method in class ec.vector.ShortVectorIndividual
Clips each gene value to be within its specified [min,max] range.
cleanup(EvolutionState) - Static method in class ec.Evolve
Begins a fresh evolutionary run with a given state.
clear() - Method in class ec.Population
Sets all Individuals in the Population to null, preparing it to be reused.
clear() - Method in class ec.Subpopulation
Sets all Individuals in the Subpopulation to null, preparing it to be reused.
clearAnnouncements() - Method in class ec.util.Output
Clears out announcements.
clearErrors() - Method in class ec.util.Output
Clears the error flag.
clearGaussian() - Method in class ec.util.MersenneTwister
Clears the internal gaussian variable from the RNG.
clearGaussian() - Method in class ec.util.MersenneTwisterFast
Clears the internal gaussian variable from the RNG.
clientPort - Variable in class ec.exchange.IslandExchange
The port of the client mailbox
Clique - Interface in ec
Clique is a class pattern marking classes which create only a few instances, generally accessible through some global mechanism, and every single one of which gets its own distinct setup(...) call.
clone() - Method in class ec.breed.UniquePipeline
 
clone() - Method in class ec.BreedingPipeline
 
clone() - Method in class ec.BreedingSource
 
clone() - Method in class ec.eval.MasterProblem
 
clone() - Method in class ec.Fitness
 
clone() - Method in class ec.gp.ADFContext
 
clone() - Method in class ec.gp.ADFStack
 
clone() - Method in class ec.gp.breed.InternalCrossoverPipeline
 
clone() - Method in class ec.gp.breed.MutateAllNodesPipeline
 
clone() - Method in class ec.gp.breed.MutateERCPipeline
 
clone() - Method in class ec.gp.breed.MutateOneNodePipeline
 
clone() - Method in class ec.gp.breed.SizeFairCrossoverPipeline
 
clone() - Method in class ec.gp.ge.GEProblem
 
clone() - Method in class ec.gp.ge.GESpecies
 
clone() - Method in class ec.gp.ge.GrammarParser
 
clone() - Method in class ec.gp.GPData
 
clone() - Method in class ec.gp.GPIndividual
Deep-clones the GPIndividual.
clone() - Method in class ec.gp.GPNode
Deep-clones the tree rooted at this node, and returns the entire copied tree.
clone() - Method in class ec.gp.GPNodeBuilder
 
clone() - Method in class ec.gp.GPProblem
 
clone() - Method in class ec.gp.GPTree
Deep-clones the tree.
clone() - Method in class ec.gp.koza.CrossoverPipeline
 
clone() - Method in class ec.gp.koza.KozaNodeSelector
 
clone() - Method in class ec.gp.koza.MutationPipeline
 
clone() - Method in class ec.gp.push.PushInstruction
 
clone() - Method in class ec.gp.push.PushProblem
 
clone() - Method in class ec.Individual
 
clone() - Method in class ec.multiobjective.MultiObjectiveFitness
 
clone() - Method in class ec.Problem
 
clone() - Method in interface ec.Prototype
Creates a new individual cloned from a prototype, and suitable to begin use in its own evolutionary context.
clone() - Method in class ec.pso.Particle
 
clone() - Method in class ec.rule.breed.RuleCrossoverPipeline
 
clone() - Method in class ec.rule.Rule
 
clone() - Method in class ec.rule.RuleIndividual
 
clone() - Method in class ec.rule.RuleSet
 
clone() - Method in class ec.select.MultiSelection
 
clone() - Method in class ec.Species
 
clone() - Method in class ec.util.MersenneTwister
 
clone() - Method in class ec.util.MersenneTwisterFast
 
clone() - Method in class ec.vector.BitVectorIndividual
 
clone() - Method in class ec.vector.breed.ListCrossoverPipeline
 
clone() - Method in class ec.vector.breed.MultipleVectorCrossoverPipeline
 
clone() - Method in class ec.vector.breed.VectorCrossoverPipeline
 
clone() - Method in class ec.vector.ByteVectorIndividual
 
clone() - Method in class ec.vector.DoubleVectorIndividual
 
clone() - Method in class ec.vector.FloatVectorIndividual
 
clone() - Method in class ec.vector.Gene
 
clone() - Method in class ec.vector.GeneVectorIndividual
 
clone() - Method in class ec.vector.IntegerVectorIndividual
 
clone() - Method in class ec.vector.LongVectorIndividual
 
clone() - Method in class ec.vector.ShortVectorIndividual
 
cloneGenes(Object) - Method in class ec.vector.GeneVectorIndividual
 
cloneGenes(Object) - Method in class ec.vector.VectorIndividual
Clones the genes in pieces, and replaces the genes with their copies.
clonePipelineAndPopulation - Variable in class ec.simple.SimpleBreeder
 
cloneProblem - Variable in class ec.simple.SimpleEvaluator
 
cloneReplacing() - Method in class ec.gp.GPNode
Deprecated.
use clone() instead.
cloneReplacing(GPNode, GPNode) - Method in class ec.gp.GPNode
Deep-clones the tree rooted at this node, and returns the entire copied tree.
cloneReplacing(GPNode[], GPNode[]) - Method in class ec.gp.GPNode
Deep-clones the tree rooted at this node, and returns the entire copied tree.
cloneReplacingAtomic(GPNode, GPNode) - Method in class ec.gp.GPNode
Clones a new subtree, but with the single node oldNode (which may or may not be in the subtree) replaced with a newNode (not a clone of newNode).
cloneReplacingAtomic(GPNode[], GPNode[]) - Method in class ec.gp.GPNode
Clones a new subtree, but with each node in oldNodes[] respectively (which may or may not be in the subtree) replaced with the equivalent nodes in newNodes[] (and not clones).
cloneReplacingNoSubclone(GPNode, GPNode) - Method in class ec.gp.GPNode
Deep-clones the tree rooted at this node, and returns the entire copied tree.
close() - Method in class ec.util.Output
Closes the logs -- ONLY call this if you are preparing to quit
closeContacts(EvolutionState, int) - Method in class ec.eval.MasterProblem
Gracefully close contacts with the slaves
closeContacts(EvolutionState, int) - Method in class ec.Evaluator
Called to shut down remote evaluation network contacts when the run is completed.
closeContacts(EvolutionState, int) - Method in class ec.exchange.InterPopulationExchange
Closes contacts with other processes, if that's what you're doing.
closeContacts(EvolutionState, int) - Method in class ec.exchange.IslandExchange
Closes contacts with other processes, if that's what you're doing.
closeContacts(EvolutionState, int) - Method in class ec.Exchanger
Closes contacts with other processes, if that's what you're doing.
closeContacts(EvolutionState, int) - Method in class ec.gp.ge.GEProblem
 
closeContacts(EvolutionState, int) - Method in class ec.Problem
Called to shut down remote evaluation network contacts when the run is completed.
closeContacts(EvolutionState, int) - Method in class ec.simple.SimpleExchanger
Doesn't do anything.
Code - Class in ec.util
Code provides some simple wrapper functions for encoding and decoding basic data types for storage in a pseudo-Java source code strings format.
Code() - Constructor for class ec.util.Code
 
combine(EvolutionState, Fitness[], Fitness) - Method in class ec.eval.MetaProblem
Combines fitness results from multiple runs into a final Fitness.
COMMENT - Static variable in class ec.gp.ge.GrammarParser
 
compareTo(Object) - Method in class ec.Fitness
Returns -1 if I am FITTER than the other Fitness, 1 if I am LESS FIT than the other Fitness, and 0 if we are equivalent.
compareTo(Object) - Method in class ec.Individual
Returns -1 if I am BETTER in some way than the other Individual, 1 if the other Individual is BETTER than me, and 0 if we are equivalent.
compareTo(Object) - Method in class ec.rule.Rule
This function replaces the old gt and lt functions that Rule used to require as it implemented the SortComparator interface.
comparison - Variable in class ec.es.MuCommaLambdaBreeder
 
compatibleWith(GPInitializer, GPType) - Method in class ec.gp.GPAtomicType
 
compatibleWith(GPInitializer, GPType) - Method in class ec.gp.GPSetType
 
compatibleWith(GPInitializer, GPType) - Method in class ec.gp.GPType
Am I compatible with ("fit" with) t? For two atomic types, this is done by direct pointer equality.
CompetitiveEvaluator - Class in ec.coevolve
CompetitiveEvaluator.java
CompetitiveEvaluator() - Constructor for class ec.coevolve.CompetitiveEvaluator
 
compress - Variable in class ec.simple.SimpleStatistics
Should we compress the file?
compressedCommunication - Variable in class ec.exchange.IslandExchange
whether the communication is compressed or not
computeAuxiliaryData(EvolutionState, Individual[]) - Method in class ec.multiobjective.spea2.SPEA2Evaluator
Computes the strength of individuals, then the raw fitness (wimpiness) and kth-closest sparsity measure.
computeNonterminalSelectionProbabilities(int) - Method in class ec.gp.build.PTCFunctionSet
 
computePercentages() - Method in class ec.gp.build.Uniform
 
computeSubpopulationLength(EvolutionState, Population, int, int) - Method in class ec.simple.SimpleBreeder
Elites are often stored in the top part of the subpopulation; this function returns what part of the subpopulation contains individuals to replace with newly-bred ones (up to but not including the elites).
computeValidationData(EvolutionState, VectorIndividual[], int) - Method in class ec.vector.breed.ListCrossoverPipeline
A hook called by ListCrossoverPipeline to allow subclasses to prepare for additional validation testing.
Console - Class in ec.display
 
Console(String[]) - Constructor for class ec.display.Console
 
Console(GraphicsConfiguration, String[]) - Constructor for class ec.display.Console
 
Console(String, String[]) - Constructor for class ec.display.Console
 
Console(String, GraphicsConfiguration, String[]) - Constructor for class ec.display.Console
 
constraintNumber - Variable in class ec.gp.GPNodeConstraints
The byte value of the constraints -- we can only have 256 of them
constraintNumber - Variable in class ec.gp.GPTreeConstraints
The byte value of the constraints -- we can only have 256 of them
constraintNumber - Variable in class ec.rule.RuleConstraints
The byte value of the constraints -- we can only have 256 of them
constraintNumber - Variable in class ec.rule.RuleSetConstraints
The byte value of the constraints -- we can only have 256 of them
constraints - Variable in class ec.gp.GPNode
The GPNode's constraints.
constraints(GPInitializer) - Method in class ec.gp.GPNode
 
constraints - Variable in class ec.gp.GPTree
constraints on the GPTree -- don't access the constraints through this variable -- use the constraints() method instead, which will give the actual constraints object.
constraints(GPInitializer) - Method in class ec.gp.GPTree
 
constraints - Variable in class ec.rule.Rule
An index to a RuleConstraints
constraints(RuleInitializer) - Method in class ec.rule.Rule
 
constraints - Variable in class ec.rule.RuleSet
An index to a RuleSetConstraints
constraints(RuleInitializer) - Method in class ec.rule.RuleSet
 
constraintsFor(String, EvolutionState) - Static method in class ec.gp.GPNodeConstraints
You must guarantee that after calling constraintsFor(...) one or several times, you call state.output.exitIfErrors() once.
constraintsFor(String, EvolutionState) - Static method in class ec.gp.GPTreeConstraints
You must guarantee that after calling constraintsFor(...) one or several times, you call state.output.exitIfErrors() once.
constraintsFor(String, EvolutionState) - Static method in class ec.rule.RuleConstraints
You must guarantee that after calling constraintsFor(...) one or several times, you call state.output.exitIfErrors() once.
constraintsFor(String, EvolutionState) - Static method in class ec.rule.RuleSetConstraints
You must guarantee that after calling constraintsFor(...) one or several times, you call state.output.exitIfErrors() once.
consumed(EvolutionState, GEIndividual, int) - Method in class ec.gp.ge.GESpecies
Returns the number of elements consumed from the GEIndividual array to produce the tree, else returns -1 if an error occurs, specifically if all elements were consumed and the tree had still not been completed.
contains(GPNode) - Method in class ec.gp.GPNode
Returns true if the subtree rooted at this node contains subnode.
contains(boolean[], boolean) - Method in class ec.vector.VectorSpecies
Utility method: returns the first array slot which contains the given value, else -1.
contains(long[], long) - Method in class ec.vector.VectorSpecies
Utility method: returns the first array slot which contains the given value, else -1.
contains(int[], int) - Method in class ec.vector.VectorSpecies
Utility method: returns the first array slot which contains the given value, else -1.
contains(double[], double) - Method in class ec.vector.VectorSpecies
Utility method: returns the first array slot which contains the given value, else -1.
context - Variable in class ec.Fitness
Auxiliary variable, used by coevolutionary processes, to store the individuals involved in producing this given Fitness value.
context_proto - Variable in class ec.gp.ADFStack
 
contextIsBetterThan(Fitness) - Method in class ec.Fitness
Given another Fitness, returns true if the trial which produced my current context is "better" in fitness than the trial which produced his current context, and thus should be retained in lieu of his.
contributors - Static variable in class ec.util.Version
 
contributors2 - Static variable in class ec.util.Version
 
contributors3 - Static variable in class ec.util.Version
 
contributors4 - Static variable in class ec.util.Version
 
contributors5 - Static variable in class ec.util.Version
 
ControlPanel - Class in ec.display
 
ControlPanel(Console) - Constructor for class ec.display.ControlPanel
This is the default constructor
copy(Serializable) - Static method in class ec.util.DataPipe
A poor-man's clone for serializable but not cloneable objects: serializes an object to the pipe, then deserializes it.
copyNoClone(RuleSet) - Method in class ec.rule.RuleSet
Clears out existing rules, and loads the rules from the other ruleset without cloning them.
copyright - Static variable in class ec.util.Version
 
copyTo(GPData) - Method in class ec.gp.GPData
Modifies gpd so that gpd is equivalent to us.
count - Variable in class ec.es.MuCommaLambdaBreeder
Modified by multiple threads, don't fool with this
countdown - Variable in class ec.evolve.RandomRestarts
 
Cr - Variable in class ec.de.DEBreeder
Probability of crossover per gene
CR_UNSPECIFIED - Static variable in class ec.de.DEBreeder
 
createIndividual(EvolutionState, int, int, int) - Method in class ec.de.Best1BinDEBreeder
 
createIndividual(EvolutionState, int, int, int) - Method in class ec.de.DEBreeder
 
createIndividual(EvolutionState, int, int, int) - Method in class ec.de.Rand1EitherOrDEBreeder
 
crossover(EvolutionState, DoubleVectorIndividual, DoubleVectorIndividual, int) - Method in class ec.de.DEBreeder
Crosses over child with target, storing the result in child and returning it.
crossoverDistributionIndex - Variable in class ec.vector.VectorSpecies
What should the SBX distribution index be?
CrossoverPipeline - Class in ec.gp.koza
CrossoverPipeline is a GPBreedingPipeline which performs a strongly-typed version of Koza-style "Subtree Crossover".
CrossoverPipeline() - Constructor for class ec.gp.koza.CrossoverPipeline
 
crossoverProbability - Variable in class ec.vector.VectorSpecies
Probability that a gene will cross over -- ONLY used in V_ANY_POINT crossover
crossoverType - Variable in class ec.vector.breed.ListCrossoverPipeline
 
crossoverType - Variable in class ec.vector.VectorSpecies
What kind of crossover do we have?
currentDatabase - Variable in class ec.eval.MetaProblem
This points to the database presently used by the underlying (base-level) evolutionary computation system.
currentSize - Variable in class ec.breed.BufferedBreedingPipeline
 
customInstructions - Variable in class ec.gp.push.Terminal
A list of custom PushInstructions I can be set to.

D

d - Variable in class ec.util.DecodeReturn
Stores floats, doubles
D_STDERR - Static variable in class ec.util.Log
Specifies that the log should write to stderr (System.err)
D_STDOUT - Static variable in class ec.util.Log
Specifies that the log should write to stdout (System.out)
data - Variable in class ec.EvolutionState
An array of HashMaps, indexed by the thread number you were given (or, if you're not in a multithreaded area, use 0).
data - Variable in class ec.util.DecodeReturn
The DecodeReturn string that's read from.
DataPipe - Class in ec.util
 
DataPipe() - Constructor for class ec.util.DataPipe
 
dataset - Variable in class ec.display.chart.BarChartStatistics
 
date - Static variable in class ec.util.Version
 
DEBreeder - Class in ec.de
DEBreeder provides a straightforward Differential Evolution (DE) breeder for the ECJ system.
DEBreeder() - Constructor for class ec.de.DEBreeder
 
decode(DecodeReturn) - Method in class ec.gp.ERC
Decodes data into the ERC from dret.
decode(DecodeReturn) - Method in class ec.gp.push.Terminal
 
decode(DecodeReturn) - Static method in class ec.util.Code
Decodes the next item out of a DecodeReturn and modifies the DecodeReturn to hold the results.
DecodeReturn - Class in ec.util
DecodeReturn is used by Code to provide varied information returned when decoding.
DecodeReturn(String) - Constructor for class ec.util.DecodeReturn
Use this to make a new DecodeReturn starting at position 0
DecodeReturn(String, int) - Constructor for class ec.util.DecodeReturn
Use this to make a new DecodeReturn starting at some position
DEEvaluator - Class in ec.de
DEEvaluator is a simple subclass of SimpleEvaluator which first evaluates the population, then compares each population member against the parent which had created it in Differential Evolution.
DEEvaluator() - Constructor for class ec.de.DEEvaluator
 
DEFAULT_OUT_OF_BOUNDS_RETRIES - Static variable in class ec.vector.FloatVectorSpecies
 
DEFAULT_PROBABILITY - Static variable in class ec.gp.GPNodeConstraints
 
DEFAULT_REGEXES - Static variable in class ec.gp.ge.GrammarParser
The default regular expressions for tokens in the parser.
defaultBase() - Method in class ec.breed.BufferedBreedingPipeline
 
defaultBase() - Method in class ec.breed.CheckingPipeline
 
defaultBase() - Method in class ec.breed.ForceBreedingPipeline
 
defaultBase() - Method in class ec.breed.GenerationSwitchPipeline
 
defaultBase() - Method in class ec.breed.InitializationPipeline
 
defaultBase() - Method in class ec.breed.MultiBreedingPipeline
 
defaultBase() - Method in class ec.breed.ReproductionPipeline
 
defaultBase() - Method in class ec.breed.UniquePipeline
 
defaultBase() - Method in class ec.es.ESSelection
 
defaultBase() - Method in class ec.gp.ADF
 
defaultBase() - Method in class ec.gp.ADFArgument
 
defaultBase() - Method in class ec.gp.ADFContext
 
defaultBase() - Method in class ec.gp.ADFStack
 
defaultBase() - Method in class ec.gp.breed.InternalCrossoverPipeline
 
defaultBase() - Method in class ec.gp.breed.MutateAllNodesPipeline
 
defaultBase() - Method in class ec.gp.breed.MutateDemotePipeline
 
defaultBase() - Method in class ec.gp.breed.MutateERCPipeline
 
defaultBase() - Method in class ec.gp.breed.MutateOneNodePipeline
 
defaultBase() - Method in class ec.gp.breed.MutatePromotePipeline
 
defaultBase() - Method in class ec.gp.breed.MutateSwapPipeline
 
defaultBase() - Method in class ec.gp.breed.RehangPipeline
 
defaultBase() - Method in class ec.gp.breed.SizeFairCrossoverPipeline
 
defaultBase() - Method in class ec.gp.build.PTC1
 
defaultBase() - Method in class ec.gp.build.PTC2
 
defaultBase() - Method in class ec.gp.build.RandomBranch
 
defaultBase() - Method in class ec.gp.build.RandTree
 
defaultBase() - Method in class ec.gp.build.Uniform
 
defaultBase() - Method in class ec.gp.ge.GESpecies
 
defaultBase() - Method in class ec.gp.ge.GrammarParser
 
defaultBase() - Method in class ec.gp.GPData
 
defaultBase() - Method in class ec.gp.GPIndividual
 
defaultBase() - Method in class ec.gp.GPNode
The default base for GPNodes -- defined even though GPNode is abstract so you don't have to in subclasses.
defaultBase() - Method in class ec.gp.GPProblem
GPProblem defines a default base so your subclass doesn't absolutely have to.
defaultBase() - Method in class ec.gp.GPSpecies
 
defaultBase() - Method in class ec.gp.GPTree
 
defaultBase() - Method in class ec.gp.koza.CrossoverPipeline
 
defaultBase() - Method in class ec.gp.koza.FullBuilder
 
defaultBase() - Method in class ec.gp.koza.GrowBuilder
 
defaultBase() - Method in class ec.gp.koza.HalfBuilder
 
defaultBase() - Method in class ec.gp.koza.KozaFitness
 
defaultBase() - Method in class ec.gp.koza.KozaNodeSelector
 
defaultBase() - Method in class ec.gp.koza.MutationPipeline
 
defaultBase() - Method in class ec.gp.push.PushBuilder
 
defaultBase() - Method in class ec.gp.push.PushInstruction
 
defaultBase() - Method in class ec.gp.push.Terminal
 
defaultBase() - Method in class ec.multiobjective.MultiObjectiveFitness
 
defaultBase() - Method in class ec.parsimony.BucketTournamentSelection
 
defaultBase() - Method in class ec.parsimony.DoubleTournamentSelection
 
defaultBase() - Method in class ec.parsimony.LexicographicTournamentSelection
 
defaultBase() - Method in class ec.parsimony.ProportionalTournamentSelection
 
defaultBase() - Method in class ec.parsimony.RatioBucketTournamentSelection
 
defaultBase() - Method in class ec.Problem
Here's a nice default base for you -- you can change it if you like
defaultBase() - Method in interface ec.Prototype
Returns the default base for this prototype.
defaultBase() - Method in class ec.rule.breed.RuleCrossoverPipeline
 
defaultBase() - Method in class ec.rule.breed.RuleMutationPipeline
 
defaultBase() - Method in class ec.rule.Rule
 
defaultBase() - Method in class ec.rule.RuleIndividual
 
defaultBase() - Method in class ec.rule.RuleSet
 
defaultBase() - Method in class ec.rule.RuleSpecies
 
defaultBase() - Method in class ec.select.BestSelection
 
defaultBase() - Method in class ec.select.BoltzmannSelection
 
defaultBase() - Method in class ec.select.FirstSelection
 
defaultBase() - Method in class ec.select.FitProportionateSelection
 
defaultBase() - Method in class ec.select.GreedyOverselection
 
defaultBase() - Method in class ec.select.MultiSelection
 
defaultBase() - Method in class ec.select.RandomSelection
 
defaultBase() - Method in class ec.select.SigmaScalingSelection
 
defaultBase() - Method in class ec.select.SUSSelection
 
defaultBase() - Method in class ec.select.TournamentSelection
 
defaultBase() - Method in class ec.simple.SimpleFitness
 
defaultBase() - Method in class ec.spatial.SpatialTournamentSelection
 
defaultBase() - Method in class ec.Subpopulation
 
defaultBase() - Method in class ec.vector.BitVectorIndividual
 
defaultBase() - Method in class ec.vector.breed.GeneDuplicationPipeline
 
defaultBase() - Method in class ec.vector.breed.ListCrossoverPipeline
 
defaultBase() - Method in class ec.vector.breed.MultipleVectorCrossoverPipeline
 
defaultBase() - Method in class ec.vector.breed.VectorCrossoverPipeline
 
defaultBase() - Method in class ec.vector.breed.VectorMutationPipeline
 
defaultBase() - Method in class ec.vector.ByteVectorIndividual
 
defaultBase() - Method in class ec.vector.DoubleVectorIndividual
 
defaultBase() - Method in class ec.vector.FloatVectorIndividual
 
defaultBase() - Method in class ec.vector.Gene
 
defaultBase() - Method in class ec.vector.GeneVectorIndividual
 
defaultBase() - Method in class ec.vector.IntegerVectorIndividual
 
defaultBase() - Method in class ec.vector.LongVectorIndividual
 
defaultBase() - Method in class ec.vector.ShortVectorIndividual
 
defaultBase() - Method in class ec.vector.VectorSpecies
 
defaultCrossover(EvolutionState, int, VectorIndividual) - Method in class ec.vector.BitVectorIndividual
 
defaultCrossover(EvolutionState, int, VectorIndividual) - Method in class ec.vector.ByteVectorIndividual
 
defaultCrossover(EvolutionState, int, VectorIndividual) - Method in class ec.vector.DoubleVectorIndividual
 
defaultCrossover(EvolutionState, int, VectorIndividual) - Method in class ec.vector.FloatVectorIndividual
 
defaultCrossover(EvolutionState, int, VectorIndividual) - Method in class ec.vector.GeneVectorIndividual
 
defaultCrossover(EvolutionState, int, VectorIndividual) - Method in class ec.vector.IntegerVectorIndividual
 
defaultCrossover(EvolutionState, int, VectorIndividual) - Method in class ec.vector.LongVectorIndividual
 
defaultCrossover(EvolutionState, int, VectorIndividual) - Method in class ec.vector.ShortVectorIndividual
 
defaultCrossover(EvolutionState, int, VectorIndividual) - Method in class ec.vector.VectorIndividual
Destructively crosses over the individual with another in some default manner.
defaultMutate(EvolutionState, int) - Method in class ec.vector.BitVectorIndividual
Destructively mutates the individual in some default manner.
defaultMutate(EvolutionState, int) - Method in class ec.vector.ByteVectorIndividual
Destructively mutates the individual in some default manner.
defaultMutate(EvolutionState, int) - Method in class ec.vector.DoubleVectorIndividual
Destructively mutates the individual in some default manner.
defaultMutate(EvolutionState, int) - Method in class ec.vector.FloatVectorIndividual
Destructively mutates the individual in some default manner.
defaultMutate(EvolutionState, int) - Method in class ec.vector.GeneVectorIndividual
Destructively mutates the individual in some default manner.
defaultMutate(EvolutionState, int) - Method in class ec.vector.IntegerVectorIndividual
Destructively mutates the individual in some default manner.
defaultMutate(EvolutionState, int) - Method in class ec.vector.LongVectorIndividual
Destructively mutates the individual in some default manner.
defaultMutate(EvolutionState, int) - Method in class ec.vector.ShortVectorIndividual
Destructively mutates the individual in some default manner.
defaultMutate(EvolutionState, int) - Method in class ec.vector.VectorIndividual
Destructively mutates the individual in some default manner.
DefaultsForm - Interface in ec
DefaultsForm is the interface which describes how Defaults objects should work.
delimiter - Static variable in class ec.util.Parameter
 
depth() - Method in class ec.gp.GPNode
Returns the depth of the tree, which is a value >= 1.
describe(EvolutionState, Individual, int, int, int) - Method in class ec.eval.MasterProblem
 
describe(EvolutionState, Individual, int, int, int) - Method in class ec.eval.MetaProblem
 
describe(EvolutionState, Individual, int, int, int) - Method in class ec.gp.ge.GEProblem
 
describe(EvolutionState, Individual, int, int, int) - Method in class ec.Problem
Part of SimpleProblemForm.
describe(Individual, EvolutionState, int, int, int, int) - Method in class ec.Problem
Deprecated.
Use the version without verbosity
describe(EvolutionState, Individual, int, int, int) - Method in interface ec.simple.SimpleProblemForm
"Reevaluates" an individual, for the purpose of printing out interesting facts about the individual in the context of the Problem, and logs the results.
determineSeed(Output, ParameterDatabase, Parameter, long, int, boolean) - Static method in class ec.Evolve
Loads a random generator seed.
determineThreads(Output, ParameterDatabase, Parameter) - Static method in class ec.Evolve
Loads the number of threads.
disableControls() - Method in class ec.display.ControlPanel
 
distanceTo(Individual) - Method in class ec.Individual
Returns the metric distance to another individual, if such a thing can be measured.
distanceTo(Individual) - Method in class ec.vector.BitVectorIndividual
Implements distance as hamming distance.
distanceTo(Individual) - Method in class ec.vector.ByteVectorIndividual
 
distanceTo(Individual) - Method in class ec.vector.DoubleVectorIndividual
 
distanceTo(Individual) - Method in class ec.vector.FloatVectorIndividual
 
distanceTo(Individual) - Method in class ec.vector.IntegerVectorIndividual
 
distanceTo(Individual) - Method in class ec.vector.LongVectorIndividual
 
distanceTo(Individual) - Method in class ec.vector.ShortVectorIndividual
 
doDepth - Variable in class ec.gp.koza.KozaShortStatistics
 
doDescription - Variable in class ec.simple.SimpleStatistics
 
doFinal - Variable in class ec.simple.SimpleStatistics
 
doGeneration - Variable in class ec.simple.SimpleStatistics
 
doLengthFirst - Variable in class ec.parsimony.DoubleTournamentSelection
 
domain - Variable in class ec.eval.MetaProblem
A list of domain information, one per parameter in the genome.
doMessage - Variable in class ec.simple.SimpleStatistics
 
doPerGenerationDescription - Variable in class ec.simple.SimpleStatistics
 
doSize - Variable in class ec.simple.SimpleShortStatistics
 
doSubpops - Variable in class ec.simple.SimpleShortStatistics
 
doTime - Variable in class ec.simple.SimpleShortStatistics
 
DoubleTournamentSelection - Class in ec.parsimony
 
DoubleTournamentSelection() - Constructor for class ec.parsimony.DoubleTournamentSelection
 
DoubleVectorIndividual - Class in ec.vector
DoubleVectorIndividual is a VectorIndividual whose genome is an array of doubles.
DoubleVectorIndividual() - Constructor for class ec.vector.DoubleVectorIndividual
 
duplicateRetries - Variable in class ec.vector.VectorSpecies
How often do we retry until we get a non-duplicate gene?
duplicateRetries(int) - Method in class ec.vector.VectorSpecies
 
DYNAMIC_SOURCES - Static variable in class ec.BreedingPipeline
Indicates that the number of sources is variable and determined by the user in the parameter file.
dynamicInitialSize - Variable in class ec.vector.VectorSpecies
Was the initial size determined dynamically?

E

ec - package ec
 
ec.breed - package ec.breed
 
ec.coevolve - package ec.coevolve
 
ec.de - package ec.de
 
ec.display - package ec.display
 
ec.display.chart - package ec.display.chart
 
ec.display.portrayal - package ec.display.portrayal
 
ec.es - package ec.es
 
ec.eval - package ec.eval
 
ec.evolve - package ec.evolve
 
ec.exchange - package ec.exchange
 
ec.gp - package ec.gp
 
ec.gp.breed - package ec.gp.breed
 
ec.gp.build - package ec.gp.build
 
ec.gp.ge - package ec.gp.ge
 
ec.gp.koza - package ec.gp.koza
 
ec.gp.push - package ec.gp.push
 
ec.multiobjective - package ec.multiobjective
 
ec.multiobjective.nsga2 - package ec.multiobjective.nsga2
 
ec.multiobjective.spea2 - package ec.multiobjective.spea2
 
ec.parsimony - package ec.parsimony
 
ec.pso - package ec.pso
 
ec.rule - package ec.rule
 
ec.rule.breed - package ec.rule.breed
 
ec.select - package ec.select
 
ec.simple - package ec.simple
 
ec.spatial - package ec.spatial
 
ec.steadystate - package ec.steadystate
 
ec.util - package ec.util
 
ec.vector - package ec.vector
 
ec.vector.breed - package ec.vector.breed
 
ECDefaults - Class in ec
 
ECDefaults() - Constructor for class ec.ECDefaults
 
elite - Variable in class ec.simple.SimpleBreeder
An array[subpop] of the number of elites to keep for that subpopulation
eliteFrac - Variable in class ec.simple.SimpleBreeder
 
emptyClone() - Method in interface ec.Group
Returns a copy of the object just as it had been immediately after Setup was called on it (or on an ancestor object).
emptyClone() - Method in class ec.Population
Returns an instance of Population just like it had been before it was populated with individuals.
emptyClone() - Method in class ec.Subpopulation
Returns an instance of Subpopulation just like it had been before it was populated with individuals.
enableControls() - Method in class ec.display.ControlPanel
 
encode() - Method in class ec.gp.ERC
Encodes data from the ERC, using ec.util.Code.
encode() - Method in class ec.gp.push.Terminal
 
encode(boolean) - Static method in class ec.util.Code
Encodes a boolean.
encode(byte) - Static method in class ec.util.Code
Encodes a byte.
encode(char) - Static method in class ec.util.Code
Encodes a character.
encode(short) - Static method in class ec.util.Code
Encodes a short.
encode(int) - Static method in class ec.util.Code
Encodes an int.
encode(long) - Static method in class ec.util.Code
Encodes a long.
encode(float) - Static method in class ec.util.Code
Encodes a float.
encode(double) - Static method in class ec.util.Code
Encodes a double.
encode(String) - Static method in class ec.util.Code
Encodes a String.
enteringInitialPopulationStatistics(SteadyStateEvolutionState) - Method in class ec.Statistics
STEADY-STATE: called when we created an empty initial Population.
enteringInitialPopulationStatistics(SteadyStateEvolutionState) - Method in interface ec.steadystate.SteadyStateStatisticsForm
Called when we created an empty initial Population.
enteringSteadyStateStatistics(int, SteadyStateEvolutionState) - Method in class ec.Statistics
STEADY-STATE: called when a given Subpopulation is entering the Steady-State.
enteringSteadyStateStatistics(int, SteadyStateEvolutionState) - Method in interface ec.steadystate.SteadyStateStatisticsForm
Called when we have filled the initial population and are entering the steady state.
enumerateGrammarTree(GrammarNode) - Method in class ec.gp.ge.GrammarParser
Run BFS to enumerate the whole grammar tree into all necessary indices lists/hash-maps, we *need* to run BFS because the decoding of the "GE array to tree" works in a BFS fashion, so we need to stick with that; After enumeration, we will have four data-structures like these -- (1) productionRuleList (a flattened grammar tree): grammar-tree ==> {rule-0, rule-1, ,,, rule-(n-1)} (2) ruleToIndex: rule-0 --> 0 rule-1 --> 1 , , rule-(n-1) --> (n-1) (3) indexToRule (reverse of ruleToIndex): 0 --> rule-0 1 --> rule-1 , , n-1 --> rule-(n-1) and then, last but not the least, the relative rule index -- (4) absIndexToRelIndex: if we have two rules like " -> | " and " -> | " then, [rule] [absIndex] [relIndex] -> --> [0] --> [0] -> --> [1] --> [1] -> --> [2] --> [0] -> --> [3] --> [1] etc,
equals(Object) - Method in class ec.gp.ge.GrammarNode
This is needed when we use a GrammarNode as a "key" in hash-map, see GrammarParser.java for details.
EQUALS - Static variable in class ec.gp.ge.GrammarParser
 
equals(Object) - Method in class ec.gp.GPIndividual
 
equals(Object) - Method in class ec.Individual
Returns true if I am genetically "equal" to ind.
equals(Object) - Method in class ec.pso.Particle
 
equals(Object) - Method in class ec.rule.Rule
Unlike the standard form for Java, this function should return true if this rule is "genetically identical" to the other rule.
equals(Object) - Method in class ec.rule.RuleIndividual
 
equals(Object) - Method in class ec.rule.RuleSet
 
equals(Object) - Method in class ec.util.ReflectedObject
 
equals(Object) - Method in class ec.vector.BitVectorIndividual
 
equals(Object) - Method in class ec.vector.ByteVectorIndividual
 
equals(Object) - Method in class ec.vector.DoubleVectorIndividual
 
equals(Object) - Method in class ec.vector.FloatVectorIndividual
 
equals(Object) - Method in class ec.vector.Gene
Unlike the standard form for Java, this function should return true if this gene is "genetically identical" to the other gene.
equals(Object) - Method in class ec.vector.GeneVectorIndividual
 
equals(Object) - Method in class ec.vector.IntegerVectorIndividual
 
equals(Object) - Method in class ec.vector.LongVectorIndividual
 
equals(Object) - Method in class ec.vector.ShortVectorIndividual
 
equivalentTo(Fitness) - Method in class ec.Fitness
Should return true if this fitness is in the same equivalence class as _fitness, that is, neither is clearly better or worse than the other.
equivalentTo(Fitness) - Method in class ec.gp.koza.KozaFitness
 
equivalentTo(Fitness) - Method in class ec.multiobjective.MultiObjectiveFitness
Returns true if I'm equivalent in fitness (neither better nor worse) to _fitness.
equivalentTo(Fitness) - Method in class ec.multiobjective.nsga2.NSGA2MultiObjectiveFitness
 
equivalentTo(Fitness) - Method in class ec.multiobjective.spea2.SPEA2MultiObjectiveFitness
The selection criteria in SPEA2 uses the computed fitness, and not pareto dominance.
equivalentTo(Fitness) - Method in class ec.simple.SimpleFitness
 
ERC - Class in ec.gp
ERC is an abstract GPNode which implements Ephemeral Random Constants, as described in Koza I.
ERC() - Constructor for class ec.gp.ERC
 
ERC_NAMES - Static variable in class ec.gp.push.Terminal
 
ERC_PREAMBLE - Static variable in class ec.gp.ge.GEIndividual
 
ERCBank - Variable in class ec.gp.ge.GESpecies
All the ERCs created so far, the ERCs are mapped as, "key --> list of ERC nodes", where the key = (genome[i] - minGene[i]); The ERCBank is "static", beacause we need one identical copy for all the individuals; Moreover, this copy may be sent to other sub-populations as well.
error(String) - Method in class ec.util.Output
Posts a simple error.
error(String, Parameter) - Method in class ec.util.Output
Posts a simple error.
error(String, Parameter, Parameter) - Method in class ec.util.Output
Posts a simple error.
errorAboutNoNodeWithType(GPType, EvolutionState) - Method in class ec.gp.GPNodeBuilder
Issues a fatal error that no node (nonterminal or terminal) was found with a return type of the given type, and that an algorithm had requested one.
errorInfo() - Method in class ec.gp.GPNode
A convenience function for identifying a GPNode in an error message
ESDefaults - Class in ec.es
 
ESDefaults() - Constructor for class ec.es.ESDefaults
 
ESSelection - Class in ec.es
ESSelection is a special SelectionMethod designed to be used with evolutionary strategies-type breeders.
ESSelection() - Constructor for class ec.es.ESSelection
 
eval(EvolutionState, int, GPData, ADFStack, GPIndividual, Problem) - Method in class ec.gp.ADF
 
eval(EvolutionState, int, GPData, ADFStack, GPIndividual, Problem) - Method in class ec.gp.ADFArgument
 
eval(EvolutionState, int, GPData, ADFStack, GPIndividual, Problem) - Method in class ec.gp.ADM
 
eval(EvolutionState, int, GPData, ADFStack, GPIndividual, Problem) - Method in class ec.gp.GPNode
Evaluates the node with the given thread, state, individual, problem, and stack.
eval(EvolutionState, int, GPData, ADFStack, GPIndividual, Problem) - Method in class ec.gp.push.Nonterminal
 
eval(EvolutionState, int, GPData, ADFStack, GPIndividual, Problem) - Method in class ec.gp.push.Terminal
 
evalNRandomOneWay(EvolutionState, int[], int[], Individual[], int, GroupedProblemForm) - Method in class ec.coevolve.CompetitiveEvaluator
 
evalNRandomOneWayPopChunk(EvolutionState, int, int, int, Individual[], int, GroupedProblemForm) - Method in class ec.coevolve.CompetitiveEvaluator
 
evalNRandomTwoWay(EvolutionState, int[], int[], Individual[], int, GroupedProblemForm) - Method in class ec.coevolve.CompetitiveEvaluator
 
evalNRandomTwoWayPopChunk(EvolutionState, int, int, int, Individual[], int, GroupedProblemForm) - Method in class ec.coevolve.CompetitiveEvaluator
 
evalPopChunk(EvolutionState, int[], int[], int, SimpleProblemForm) - Method in class ec.simple.SimpleEvaluator
A private helper function for evaluatePopulation which evaluates a chunk of individuals in a subpopulation for a given thread.
evalRoundRobin(EvolutionState, int[], int[], Individual[], int, GroupedProblemForm) - Method in class ec.coevolve.CompetitiveEvaluator
 
evalRoundRobinPopChunk(EvolutionState, int, int, int, Individual[], int, GroupedProblemForm) - Method in class ec.coevolve.CompetitiveEvaluator
A private helper function for evalutatePopulation which evaluates a chunk of individuals in a subpopulation for a given thread.
evalSingleElimination(EvolutionState, Individual[], int, GroupedProblemForm) - Method in class ec.coevolve.CompetitiveEvaluator
 
evalthreads - Variable in class ec.EvolutionState
The requested number of threads to be used in evaluation, excepting perhaps a "parent" thread which gathers the other threads.
evaluate(EvolutionState, Individual[], boolean[], boolean, int[], int) - Method in interface ec.coevolve.GroupedProblemForm
Evaluates the individuals found in ind together.
evaluate(EvolutionState, Individual, int, int) - Method in class ec.eval.MasterProblem
 
evaluate(EvolutionState, Individual[], boolean[], boolean, int[], int) - Method in class ec.eval.MasterProblem
 
evaluate(EvolutionState, Individual, int, int) - Method in class ec.eval.MetaProblem
 
evaluate(EvolutionState, int, GPData, ADFStack, GPIndividual, Problem, int) - Method in class ec.gp.ADFContext
Evaluates the argument number in the current context
evaluate(EvolutionState, Individual[], boolean[], boolean, int[], int) - Method in class ec.gp.ge.GEProblem
Default version assumes that every individual is a GEIndividual.
evaluate(EvolutionState, Individual, int, int) - Method in class ec.gp.ge.GEProblem
 
evaluate(EvolutionState, Individual, int, int) - Method in interface ec.simple.SimpleProblemForm
Evaluates the individual in ind, if necessary (perhaps not evaluating them if their evaluated flags are true), and sets their fitness appropriately.
evaluated - Variable in class ec.Individual
Has the individual been evaluated and its fitness determined yet?
EVALUATED_PREAMBLE - Static variable in class ec.Individual
A string appropriate to put in front of whether or not the individual has been printed.
evaluatedIndividualAvailable() - Method in class ec.eval.MasterProblem
This will only return true if (1) the EvolutionState is a SteadyStateEvolutionState and (2) an individual has returned from the system.
evaluatedIndividualAvailable() - Method in class ec.eval.SlaveMonitor
 
evaluateGroupedProblemForm(EvolutionState, boolean, DataInputStream, DataOutputStream) - Static method in class ec.eval.Slave
 
evaluateIndividual(EvolutionState, Individual, int) - Method in class ec.steadystate.SteadyStateEvaluator
Submits an individual to be evaluated by the Problem, and adds it and its subpopulation to the queue.
evaluatePopulation(EvolutionState) - Method in class ec.coevolve.CompetitiveEvaluator
An evaluator that performs coevolutionary evaluation.
evaluatePopulation(EvolutionState) - Method in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
evaluatePopulation(EvolutionState) - Method in class ec.de.DEEvaluator
 
evaluatePopulation(EvolutionState) - Method in class ec.Evaluator
Evaluates the fitness of an entire population.
evaluatePopulation(EvolutionState) - Method in class ec.multiobjective.nsga2.NSGA2Evaluator
Evaluates the population, then builds the archive and reduces the population to just the archive.
evaluatePopulation(EvolutionState) - Method in class ec.multiobjective.spea2.SPEA2Evaluator
 
evaluatePopulation(EvolutionState) - Method in class ec.simple.SimpleEvaluator
A simple evaluator that doesn't do any coevolutionary evaluation.
evaluateSimpleProblemForm(EvolutionState, boolean, DataInputStream, DataOutputStream, String[]) - Static method in class ec.eval.Slave
 
evaluations - Variable in class ec.steadystate.SteadyStateEvolutionState
How many evaluations have we run so far?
Evaluator - Class in ec
An Evaluator is a singleton object which is responsible for the evaluation process during the course of an evolutionary run.
Evaluator() - Constructor for class ec.Evaluator
 
evaluator - Variable in class ec.EvolutionState
The population evaluator, a singleton object.
EvolutionState - Class in ec
An EvolutionState object is a singleton object which holds the entire state of an evolutionary run.
EvolutionState() - Constructor for class ec.EvolutionState
This will be called to create your evolution state; immediately after the constructor is called, the parameters, random, and output fields will be set for you.
EvolutionStateEvent - Class in ec.display
 
EvolutionStateEvent(Object) - Constructor for class ec.display.EvolutionStateEvent
 
EvolutionStateListener - Interface in ec.display
 
evolve() - Method in class ec.EvolutionState
 
Evolve - Class in ec
Evolve is the main entry class for an evolutionary computation run.
Evolve() - Constructor for class ec.Evolve
 
evolve() - Method in class ec.exchange.IslandExchange
 
evolve() - Method in class ec.simple.SimpleEvolutionState
 
evolve() - Method in class ec.steadystate.SteadyStateEvolutionState
 
exchanger - Variable in class ec.EvolutionState
The population exchanger, a singleton object.
Exchanger - Class in ec
The Exchanger is a singleton object whose job is to (optionally) perform individual exchanges between subpopulations in the run, or exchange individuals with other concurrent evolutionary run processes, using sockets or whatever.
Exchanger() - Constructor for class ec.Exchanger
 
Execute(Interpreter) - Method in class ec.gp.push.PushInstruction
 
executeProgram(Program, Interpreter, int) - Method in class ec.gp.push.PushProblem
Executes the given program for up to maxSteps steps.
exists(Parameter) - Method in class ec.util.ParameterDatabase
Deprecated.
use exists(Parameter, null)
exists(Parameter, Parameter) - Method in class ec.util.ParameterDatabase
Returns true if either parameter or defaultParameter exists in the database
exitIfErrors() - Method in class ec.util.Output
Exits with a fatal error if the error flag has been raised.
expectedChildren() - Method in class ec.gp.ADFArgument
 
expectedChildren() - Method in class ec.gp.ERC
Usually ERCs don't have children, and this default implementation makes certain of it.
expectedChildren() - Method in class ec.gp.GPNode
Returns the number of children this node expects to have.
expectedChildren() - Method in class ec.gp.push.Terminal
 
expectedSize - Variable in class ec.gp.build.PTC1
The default expected tree size for PTC1
extraBehavior - Variable in class ec.Subpopulation
What is our fill behavior beyond files?

F

F - Variable in class ec.de.DEBreeder
Scaling factor for mutation
F_NOISE - Variable in class ec.de.Best1BinDEBreeder
limits on uniform noise for F
f_prototype - Variable in class ec.Species
The prototypical fitness for individuals of this species.
FAILURE - Static variable in class ec.util.Lexer
An index which indicates that no further tokens were found.
fatal(String) - Method in class ec.util.Output
Posts a fatal error.
fatal(String, Parameter) - Method in class ec.util.Output
Posts a fatal error.
fatal(String, Parameter, Parameter) - Method in class ec.util.Output
Posts a fatal error.
file - Variable in class ec.Population
 
file - Variable in class ec.Subpopulation
 
filename - Variable in class ec.util.Log
A filename, if the writer writes to a file
FILL - Static variable in class ec.Subpopulation
 
fill(long[], long) - Method in class ec.vector.VectorSpecies
Utility method: fills the array with the given value and returns it.
fill(int[], int) - Method in class ec.vector.VectorSpecies
Utility method: fills the array with the given value and returns it.
fill(boolean[], boolean) - Method in class ec.vector.VectorSpecies
Utility method: fills the array with the given value and returns it.
fill(double[], double) - Method in class ec.vector.VectorSpecies
Utility method: fills the array with the given value and returns it.
finalize() - Method in class ec.util.Log
 
finalize() - Method in class ec.util.Output
 
finalStatistics(EvolutionState, int) - Method in class ec.multiobjective.MultiObjectiveStatistics
Logs the best individual of the run.
finalStatistics(EvolutionState, int) - Method in class ec.simple.SimpleStatistics
Logs the best individual of the run.
finalStatistics(EvolutionState, int) - Method in class ec.Statistics
Called immediately after the run has completed.
finalStatistics(EvolutionState, int) - Method in interface ec.steadystate.SteadyStateStatisticsForm
Called immediately after the run has completed.
findFairSizeNode(ArrayList, HashMap, GPNode, GPTree, EvolutionState, int) - Method in class ec.gp.breed.SizeFairCrossoverPipeline
This method finds a node using the logic given in the langdon paper.
finish(int) - Method in class ec.EvolutionState
 
finish(int) - Method in class ec.exchange.IslandExchange
 
finish(int) - Method in class ec.simple.SimpleEvolutionState
 
finish(int) - Method in class ec.steadystate.SteadyStateEvolutionState
 
finisher - Variable in class ec.EvolutionState
The population finisher, a singleton object.
Finisher - Class in ec
Finisher is a singleton object which is responsible for cleaning up a population after a run has completed.
Finisher() - Constructor for class ec.Finisher
 
finishEvaluating(EvolutionState, int) - Method in class ec.eval.MasterProblem
 
finishEvaluating(EvolutionState, int) - Method in class ec.gp.ge.GEProblem
 
finishEvaluating(EvolutionState, int) - Method in class ec.Problem
Will be called by the Evaluator after prepareToEvaluate(...) is called and then a series of individuals are evaluated.
finishPipelines(EvolutionState) - Method in class ec.steadystate.SteadyStateBreeder
 
finishPopulation(EvolutionState, int) - Method in class ec.Finisher
Cleans up the population after the run has completed.
finishPopulation(EvolutionState, int) - Method in class ec.simple.SimpleFinisher
Doesn't do anything.
finishProducing(EvolutionState, int, int) - Method in class ec.BreedingPipeline
 
finishProducing(EvolutionState, int, int) - Method in class ec.BreedingSource
Called after produce(...), usually once a generation, or maybe only once if you're doing steady-state evolution (at the end of the run).
finishProducing(EvolutionState, int, int) - Method in class ec.select.BestSelection
 
finishProducing(EvolutionState, int, int) - Method in class ec.select.FitProportionateSelection
 
finishProducing(EvolutionState, int, int) - Method in class ec.select.GreedyOverselection
 
finishProducing(EvolutionState, int, int) - Method in class ec.SelectionMethod
A default version of finishProducing, which does nothing.
fireUpServer(EvolutionState, Parameter) - Method in class ec.exchange.IslandExchange
Fires up the server.
FirstSelection - Class in ec.select
Always picks the first individual in the subpopulation.
FirstSelection() - Constructor for class ec.select.FirstSelection
 
firstTime - Variable in class ec.steadystate.SteadyStateEvolutionState
First time calling evolve
Fitness - Class in ec
Fitness is a prototype which describes the fitness of an individual.
Fitness() - Constructor for class ec.Fitness
 
fitness() - Method in class ec.Fitness
Should return an absolute fitness value ranging from negative infinity to infinity, NOT inclusive (thus infinity, negative infinity, and NaN are NOT valid fitness values).
fitness() - Method in class ec.gp.koza.KozaFitness
Returns the adjusted fitness metric, which recasts the fitness to the half-open interval (0,1], where 1 is ideal and 0 is worst.
fitness - Variable in class ec.Individual
The fitness of the Individual.
fitness() - Method in class ec.multiobjective.MultiObjectiveFitness
Returns the Max() of objectives, which adheres to Fitness.java's protocol for this method.
fitness - Variable in class ec.multiobjective.spea2.SPEA2MultiObjectiveFitness
Final SPEA2 fitness.
fitness() - Method in class ec.simple.SimpleFitness
 
FITNESS_POSTAMBLE - Static variable in class ec.multiobjective.MultiObjectiveFitness
 
FITNESS_PREAMBLE - Static variable in class ec.Fitness
Basic preamble for printing Fitness values out
fitnesses - Variable in class ec.select.FitProportionateSelection
Normalized, totalized fitnesses for the population
fitnesses - Variable in class ec.select.SUSSelection
The distribution of fitnesses.
fitnessPressureProb - Variable in class ec.parsimony.ProportionalTournamentSelection
The probability of having the tournament based on fitness
fitnessToString() - Method in class ec.Fitness
Print to a string the fitness in a fashion intended to be parsed in again via readFitness(...).
fitnessToString() - Method in class ec.gp.koza.KozaFitness
 
fitnessToString() - Method in class ec.multiobjective.MultiObjectiveFitness
 
fitnessToString() - Method in class ec.multiobjective.nsga2.NSGA2MultiObjectiveFitness
 
fitnessToString() - Method in class ec.multiobjective.spea2.SPEA2MultiObjectiveFitness
 
fitnessToString() - Method in class ec.simple.SimpleFitness
 
fitnessToStringForHumans() - Method in class ec.Fitness
Print to a string the fitness in a fashion readable by humans, and not intended to be parsed in again.
fitnessToStringForHumans() - Method in class ec.gp.koza.KozaFitness
 
fitnessToStringForHumans() - Method in class ec.multiobjective.MultiObjectiveFitness
 
fitnessToStringForHumans() - Method in class ec.multiobjective.nsga2.NSGA2MultiObjectiveFitness
 
fitnessToStringForHumans() - Method in class ec.multiobjective.spea2.SPEA2MultiObjectiveFitness
 
fitnessToStringForHumans() - Method in class ec.simple.SimpleFitness
 
FitProportionateSelection - Class in ec.select
Picks individuals in a population in direct proportion to their fitnesses as returned by their fitness() methods.
FitProportionateSelection() - Constructor for class ec.select.FitProportionateSelection
 
flattenSexp(EvolutionState, int, GPTree) - Method in class ec.gp.ge.GESpecies
Flattens an S-expression
FLOAT_ERC - Static variable in class ec.gp.push.Terminal
 
FloatVectorIndividual - Class in ec.vector
FloatVectorIndividual is a VectorIndividual whose genome is an array of floats.
FloatVectorIndividual() - Constructor for class ec.vector.FloatVectorIndividual
 
FloatVectorSpecies - Class in ec.vector
FloatVectorSpecies is a subclass of VectorSpecies with special constraints for floating-point vectors, namely FloatVectorIndividual and DoubleVectorIndividual.
FloatVectorSpecies() - Constructor for class ec.vector.FloatVectorSpecies
 
flush() - Method in class ec.util.Output
Flushes the logs
ForceBreedingPipeline - Class in ec.breed
ForceBreedingPipeline has one source.
ForceBreedingPipeline() - Constructor for class ec.breed.ForceBreedingPipeline
 
FOUND - Static variable in class ec.exchange.IslandExchange
Found signal
FOUND_TIMEOUT - Static variable in class ec.exchange.IslandExchange
How long we sleep between checking for FOUND messages
frontLog - Variable in class ec.multiobjective.MultiObjectiveStatistics
The pareto front log
FullBuilder - Class in ec.gp.koza
FullBuilder is a GPNodeBuilder which implements the FULL tree building method described in Koza I/II.
FullBuilder() - Constructor for class ec.gp.koza.FullBuilder
 
fullNode(EvolutionState, int, int, GPType, int, GPNodeParent, int, GPFunctionSet) - Method in class ec.gp.koza.KozaBuilder
A private recursive method which builds a FULL-style tree for newRootedTree(...)
funcnodes - Variable in class ec.gp.build.Uniform
 
FUNCTION - Static variable in class ec.gp.ge.GrammarParser
 
functionset - Variable in class ec.gp.GPTreeConstraints
The function set for nodes in the tree
functionSetFor(String, EvolutionState) - Static method in class ec.gp.GPFunctionSet
Returns the function set for a given name.
functionSetRepository - Variable in class ec.gp.GPInitializer
 
functionsets - Variable in class ec.gp.build.Uniform
 

G

gatherExtraPopStatistics(EvolutionState, int) - Method in class ec.simple.SimpleShortStatistics
 
gatherExtraSubpopStatistics(EvolutionState, int, int) - Method in class ec.gp.koza.KozaShortStatistics
 
gatherExtraSubpopStatistics(EvolutionState, int, int) - Method in class ec.simple.SimpleShortStatistics
 
gatherFirstSets(GrammarNode, GrammarNode) - Method in class ec.gp.ge.GrammarParser
Generate the FIRST-SET for each production rule and store them in the global hash-table, this runs a DFS on the grammar tree, the returned ArrayList is discarded and the FIRST-SETs are organized in a hash-map called "ruleToFirstSet" as follows -- rule-0 --> {FIRST-SET-0} rule-1 --> {FIRST-SET-1} , , rule-(n-1) --> {FIRST-SET-(n-1)}
gatherFollowSets(GrammarNode, GrammarNode) - Method in class ec.gp.ge.GrammarParser
We do not have any example grammar to test with FOLLOW-SETs, so the FOLLOW-SET is empty, we need to test with a grammar that contains post-fix notations; this needs to be implemented properly with a new grammar.
gatherNodeString(EvolutionState, int, GPNode, int) - Method in class ec.gp.ge.GESpecies
Used by the above function
gatherPredictSets(GrammarNode, GrammarNode) - Method in class ec.gp.ge.GrammarParser
Populate the PREDICT-SET from the FIRST-SETs and the FOLLOW-SETs, as we do not have FOLLOW-SET, so FIRST-SET == PREDICT-SET; this needs to be implemented, when the FOLLOW-SETs are done properly.
gaussMutationStdev - Variable in class ec.vector.FloatVectorSpecies
Standard deviation for Gaussian Mutation, per gene.
gaussMutationStdev(int) - Method in class ec.vector.FloatVectorSpecies
 
GEDefaults - Class in ec.gp.ge
A static class that returns the base for "default values" which GE-style operators use, rather than making the user specify them all on a per- species basis.
GEDefaults() - Constructor for class ec.gp.ge.GEDefaults
 
GEIndividual - Class in ec.gp.ge
GEIndividual is a simple subclass of IntegerVectorIndividual which not only prints out (for humans) the Individual as a int vector but also prints out the Individual's tree representation.
GEIndividual() - Constructor for class ec.gp.ge.GEIndividual
 
Gene - Class in ec.vector
Gene is an abstract superclass of objects which may be used in the genome array of GeneVectorIndividuals.
Gene() - Constructor for class ec.vector.Gene
 
GeneDuplicationPipeline - Class in ec.vector.breed
GeneDuplicationPipeline is designed to duplicate a sequence of genes from the chromosome and append them to the end of the chromosome.
GeneDuplicationPipeline() - Constructor for class ec.vector.breed.GeneDuplicationPipeline
 
genePrototype - Variable in class ec.vector.GeneVectorSpecies
 
generateMax - Variable in class ec.breed.GenerationSwitchPipeline
 
generateMax - Variable in class ec.breed.MultiBreedingPipeline
 
generation - Variable in class ec.EvolutionState
The current generation of the population in the run.
generationBoundary - Variable in class ec.steadystate.SteadyStateEvolutionState
Did we just start a new generation?
generationBoundaryStatistics(EvolutionState) - Method in class ec.Statistics
STEADY-STATE: called each time the generation count increments
generationBoundaryStatistics(EvolutionState) - Method in interface ec.steadystate.SteadyStateStatisticsForm
Called when the generation count increments
generationSize - Variable in class ec.steadystate.SteadyStateEvolutionState
how big is a generation? Set to the size of subpopulation 0 of the initial population.
generationSwitch - Variable in class ec.breed.GenerationSwitchPipeline
 
GenerationSwitchPipeline - Class in ec.breed
GenerationSwitchPipeline is a simple BreedingPipeline which switches its source depending on the generation.
GenerationSwitchPipeline() - Constructor for class ec.breed.GenerationSwitchPipeline
 
GeneVectorIndividual - Class in ec.vector
GeneVectorIndividual is a VectorIndividual whose genome is an array of Genes.
GeneVectorIndividual() - Constructor for class ec.vector.GeneVectorIndividual
 
GeneVectorSpecies - Class in ec.vector
GeneVectorSpecies is a subclass of VectorSpecies with special constraints for GeneVectorIndividuals.
GeneVectorSpecies() - Constructor for class ec.vector.GeneVectorSpecies
 
genome - Variable in class ec.vector.BitVectorIndividual
 
genome - Variable in class ec.vector.ByteVectorIndividual
 
genome - Variable in class ec.vector.DoubleVectorIndividual
 
genome - Variable in class ec.vector.FloatVectorIndividual
 
genome - Variable in class ec.vector.GeneVectorIndividual
 
genome - Variable in class ec.vector.IntegerVectorIndividual
 
genome - Variable in class ec.vector.LongVectorIndividual
 
genome - Variable in class ec.vector.ShortVectorIndividual
 
genomeIncreaseProbability - Variable in class ec.vector.VectorSpecies
With what probability would our genome be at least 1 larger than it is now during initialization?
genomeLength() - Method in class ec.vector.BitVectorIndividual
 
genomeLength() - Method in class ec.vector.ByteVectorIndividual
 
genomeLength() - Method in class ec.vector.DoubleVectorIndividual
 
genomeLength() - Method in class ec.vector.FloatVectorIndividual
 
genomeLength() - Method in class ec.vector.GeneVectorIndividual
 
genomeLength() - Method in class ec.vector.IntegerVectorIndividual
 
genomeLength() - Method in class ec.vector.LongVectorIndividual
 
genomeLength() - Method in class ec.vector.ShortVectorIndividual
 
genomeLength() - Method in class ec.vector.VectorIndividual
Returns the length of the gene array.
genomeResizeAlgorithm - Variable in class ec.vector.VectorSpecies
How should we reset the genome?
genomeSize - Variable in class ec.vector.VectorSpecies
How big of a genome should we create on initialization?
genotypeToString() - Method in class ec.Individual
Print to a string the genotype of the Individual in a fashion intended to be parsed in again via parseGenotype(...).
genotypeToString() - Method in class ec.vector.BitVectorIndividual
 
genotypeToString() - Method in class ec.vector.ByteVectorIndividual
 
genotypeToString() - Method in class ec.vector.DoubleVectorIndividual
 
genotypeToString() - Method in class ec.vector.FloatVectorIndividual
 
genotypeToString() - Method in class ec.vector.GeneVectorIndividual
 
genotypeToString() - Method in class ec.vector.IntegerVectorIndividual
 
genotypeToString() - Method in class ec.vector.LongVectorIndividual
 
genotypeToString() - Method in class ec.vector.ShortVectorIndividual
 
genotypeToStringForHumans() - Method in class ec.Individual
Print to a string the genotype of the Individual in a fashion readable by humans, and not intended to be parsed in again.
genotypeToStringForHumans() - Method in class ec.vector.BitVectorIndividual
 
genotypeToStringForHumans() - Method in class ec.vector.ByteVectorIndividual
 
genotypeToStringForHumans() - Method in class ec.vector.DoubleVectorIndividual
 
genotypeToStringForHumans() - Method in class ec.vector.FloatVectorIndividual
 
genotypeToStringForHumans() - Method in class ec.vector.GeneVectorIndividual
 
genotypeToStringForHumans() - Method in class ec.vector.IntegerVectorIndividual
 
genotypeToStringForHumans() - Method in class ec.vector.LongVectorIndividual
 
genotypeToStringForHumans() - Method in class ec.vector.ShortVectorIndividual
 
GEProblem - Class in ec.gp.ge
GEProblem is a special replacement for Problem which performs GE mapping.
GEProblem() - Constructor for class ec.gp.ge.GEProblem
 
GESpecies - Class in ec.gp.ge
GESpecies generates GPIndividuals from GEIndividuals through the application of a grammar parse graph computed by the GrammarParser.
GESpecies() - Constructor for class ec.gp.ge.GESpecies
 
get() - Method in class ec.gp.ADFStack
Returns an ADFContext from the stack's reserve, or creates one fresh if there are none in reserve.
getArgument(int) - Method in class ec.gp.ge.GrammarFunctionNode
Returna given argument.
getAuxilliaryFitnessNames() - Method in class ec.multiobjective.MultiObjectiveFitness
Returns auxilliary fitness value names to be printed by the statistics object.
getAuxilliaryFitnessNames() - Method in class ec.multiobjective.nsga2.NSGA2MultiObjectiveFitness
 
getAuxilliaryFitnessNames() - Method in class ec.multiobjective.spea2.SPEA2MultiObjectiveFitness
 
getAuxilliaryFitnessValues() - Method in class ec.multiobjective.MultiObjectiveFitness
Returns auxilliary fitness values to be printed by the statistics object.
getAuxilliaryFitnessValues() - Method in class ec.multiobjective.nsga2.NSGA2MultiObjectiveFitness
 
getAuxilliaryFitnessValues() - Method in class ec.multiobjective.spea2.SPEA2MultiObjectiveFitness
 
getBestSoFar() - Method in class ec.simple.SimpleShortStatistics
 
getBestSoFar() - Method in class ec.simple.SimpleStatistics
 
getBoolean(Parameter, Parameter, boolean) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter; If the parameter does not exist, defaultValue is returned.
getChild(Object, int) - Method in class ec.util.ParameterDatabaseTreeModel
 
getChild(int) - Method in class ec.util.ReflectedObject
 
getChild(Object, int) - Method in class ec.util.ReflectedObject
 
getChildCount(Object) - Method in class ec.util.ParameterDatabaseTreeModel
 
getChildCount(Object) - Method in class ec.util.ReflectedObject
 
getChildren() - Method in class ec.util.ReflectedObject
 
getChoice(int) - Method in class ec.gp.ge.GrammarRuleNode
Returns a given choice.
getClassForParameter(Parameter, Parameter, Class) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter.
getContext() - Method in class ec.Fitness
Treat the Individual[] you receive from this as read-only.
getDouble(Parameter, Parameter) - Method in class ec.util.ParameterDatabase
 
getDouble(Parameter, Parameter, double) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter, whose value must be a double >= minValue.
getDouble(Parameter, Parameter, double, double) - Method in class ec.util.ParameterDatabase
Deprecated.
use getDoubleWithMax instead
getDoubleWithDefault(Parameter, Parameter, double) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter, which must be a float.
getDoubleWithMax(Parameter, Parameter, double, double) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter, whose value must be a double >= minValue and <= maxValue.
getField(int) - Method in class ec.util.ReflectedObject
 
getFields() - Method in class ec.util.ReflectedObject
 
getFile(Parameter, Parameter) - Method in class ec.util.ParameterDatabase
Searches down through the databases to find a given parameter, whose value must be an absolute or relative path name.
getFloat(Parameter, Parameter) - Method in class ec.util.ParameterDatabase
 
getFloat(Parameter, Parameter, double) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter, whose value must be a float >= minValue.
getFloat(Parameter, Parameter, double, double) - Method in class ec.util.ParameterDatabase
Deprecated.
Use getFloatWithMax instead
getFloatWithDefault(Parameter, Parameter, double) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter, which must be a float.
getFloatWithMax(Parameter, Parameter, double, double) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter, whose value must be a float >= minValue and <= maxValue.
getFlush() - Method in class ec.util.Output
 
getGenome() - Method in class ec.vector.BitVectorIndividual
 
getGenome() - Method in class ec.vector.ByteVectorIndividual
 
getGenome() - Method in class ec.vector.DoubleVectorIndividual
 
getGenome() - Method in class ec.vector.FloatVectorIndividual
 
getGenome() - Method in class ec.vector.GeneVectorIndividual
 
getGenome() - Method in class ec.vector.IntegerVectorIndividual
 
getGenome() - Method in class ec.vector.LongVectorIndividual
 
getGenome() - Method in class ec.vector.ShortVectorIndividual
 
getGenome() - Method in class ec.vector.VectorIndividual
Returns the gene array.
getGPNodePrototype() - Method in class ec.gp.ge.GrammarFunctionNode
Returns the prototype without cloning it first.
getHead() - Method in class ec.gp.ge.GrammarNode
 
getIndex(int) - Method in interface ec.spatial.Space
Functionality: retrieve the index for a specific threanum.
getIndex(int) - Method in class ec.spatial.Spatial1DSubpopulation
 
getIndexOfChild(Object, Object) - Method in class ec.util.ReflectedObject
 
getIndexRandomNeighbor(EvolutionState, int, int) - Method in interface ec.spatial.Space
Input: the maximum distance for neighbors.
getIndexRandomNeighbor(EvolutionState, int, int) - Method in class ec.spatial.Spatial1DSubpopulation
Returns a the index of a random neighbor.
getInstanceForParameter(Parameter, Parameter, Class) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter, whose value must be a full Class name, and the class must be a descendent of but not equal to mustCastTosuperclass .
getInstanceForParameterEq(Parameter, Parameter, Class) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter, whose value must be a full Class name, and the class must be a descendent, or equal to, mustCastTosuperclass .
getInt(Parameter, Parameter) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter, whose value must be an integer.
getInt(Parameter, Parameter, int) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter, whose value must be an integer >= minValue.
getInterpreter(EvolutionState, GPIndividual, int) - Method in class ec.gp.push.PushProblem
Builds a Push Interpreter suitable for interpreting the Program given in getProgram().
getIntWithDefault(Parameter, Parameter, int) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter, which must be an integer.
getIntWithMax(Parameter, Parameter, int, int) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter, whose value must be an integer >= minValue and <= maxValue.
getJobFilePrefix() - Method in class ec.display.ControlPanel
 
getKeyFromNode(EvolutionState, int, GPNode, int) - Method in class ec.gp.ge.GESpecies
 
getLabel() - Method in class ec.util.ParameterDatabase
Returns a String describing the location of the ParameterDatabase holding this parameter, or "" if there is none.
getLocalHost() - Static method in class ec.util.LocalHost
Returns an InetAddress object encapsulating what is most likely the machine's LAN IP address.
getLocation(Parameter) - Method in class ec.util.ParameterDatabase
 
getLocation(String) - Method in class ec.util.ParameterDatabase
 
getLog(int) - Method in class ec.util.Output
Returns the given log.
getLong(Parameter, Parameter) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter, whose value must be a long.
getLong(Parameter, Parameter, long) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter, whose value must be a long >= minValue.
getLong(Parameter, Parameter, long, long) - Method in class ec.util.ParameterDatabase
Deprecated. 
getLongWithDefault(Parameter, Parameter, long) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter, which must be a long.
getLongWithMax(Parameter, Parameter, long, long) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter, whose value must be a long >= minValue and = < maxValue.
getMatchingIndex() - Method in class ec.util.Lexer
Returns the index of the regular expression which matched the most recent token.
getMatchingPosition() - Method in class ec.util.Lexer
Returns the position in the String just beyond the most recent token.
getMatchingRule() - Method in class ec.util.Lexer
Returns the regular expression which matched the most recent token.
getNextEvaluatedIndividual() - Method in class ec.eval.MasterProblem
This method blocks until an individual is available from the slaves (which will cause evaluatedIndividualAvailable() to return true), at which time it returns the individual.
getNextEvaluatedIndividual() - Method in class ec.steadystate.SteadyStateEvaluator
Returns an evaluated individual is in the queue and ready to come back to us.
getNumArguments() - Method in class ec.gp.ge.GrammarFunctionNode
Returns the number of arguments.
getNumChildren() - Method in class ec.util.ReflectedObject
 
getNumChoices() - Method in class ec.gp.ge.GrammarRuleNode
Returns the current number of choices to the node.
getNumFields() - Method in class ec.util.ReflectedObject
 
getNumJobs() - Method in class ec.display.ControlPanel
 
getNumObjectives() - Method in class ec.multiobjective.MultiObjectiveFitness
 
getObjective(int) - Method in class ec.multiobjective.MultiObjectiveFitness
 
getObjectives() - Method in class ec.multiobjective.MultiObjectiveFitness
Returns the objectives as an array.
getOutstandingWorkers() - Method in class ec.util.ThreadPool
Returns the total number of outstanding workers (those working on something right now).
getParameter() - Method in class ec.util.ParameterDatabaseEvent
 
getPooledWorkers() - Method in class ec.util.ThreadPool
Returns the total number of pooled workers (those not working on something right now).
getProbability(Object) - Method in class ec.BreedingSource
 
getProbability(Object) - Method in interface ec.util.RandomChoiceChooser
Returns obj's probability
getProbability(Object) - Method in interface ec.util.RandomChoiceChooserD
Returns obj's probability
getProgram(EvolutionState, GPIndividual) - Method in class ec.gp.push.PushProblem
Produces a Push Program from the provided GP Individual's tree.
getRandomIndividual(int, int, EvolutionState, int) - Method in class ec.multiobjective.spea2.SPEA2TournamentSelection
 
getRandomIndividual(int, int, EvolutionState, int) - Method in class ec.select.TournamentSelection
Produces the index of a (typically uniformly distributed) randomly chosen individual to fill the tournament.
getRandomIndividual(int, int, EvolutionState, int) - Method in class ec.spatial.SpatialTournamentSelection
 
getRankings(Individual[]) - Static method in class ec.multiobjective.MultiObjectiveFitness
Returns the Pareto rank for each individual.
getRegexes() - Method in class ec.gp.ge.GrammarParser
Returns the regular expressions to use for tokenizing these rules.
getResource(Parameter, Parameter) - Method in class ec.util.ParameterDatabase
Searches down through the databases to find a given parameter, whose value must be an absolute or relative path name.
getRoot() - Method in class ec.util.ReflectedObject
 
gets_n_percent - Variable in class ec.select.GreedyOverselection
 
getSeed(int, int) - Method in class ec.display.ControlPanel
 
getShadowedValues(Parameter) - Method in class ec.util.ParameterDatabase
 
getStore() - Method in class ec.util.Output
 
getString(Parameter, Parameter) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter.
getStringWithDefault(Parameter, Parameter, String) - Method in class ec.util.ParameterDatabase
Searches down through databases to find a given parameter.
getSubpopulationOfEvaluatedIndividual() - Method in class ec.steadystate.SteadyStateEvaluator
Returns the subpopulation of the last evaluated individual returned by getNextEvaluatedIndividual, or potentially -1 if getNextEvaluatedIndividual was never called or hasn't returned an individual yet.
getThreadCount(String) - Method in class ec.display.ControlPanel
 
getThrowsErrors() - Method in class ec.util.Output
 
getTotalWorkers() - Method in class ec.util.ThreadPool
Returns the total number of workers, both pooled and outstanding (working on something).
getTournamentSizeToUse(MersenneTwisterFast) - Method in class ec.select.TournamentSelection
Returns a tournament size to use, at random, based on base size and probability of picking the size plus one.
getType() - Method in class ec.util.ParameterDatabaseEvent
 
getValue() - Method in class ec.display.ParameterValue
 
getValue() - Method in class ec.util.ParameterDatabaseEvent
 
getVerbosity() - Method in class ec.util.Output
Deprecated.
Verbosity no longer has an effect.
getVisibleLeaves() - Method in class ec.util.ParameterDatabaseTreeModel
 
globalBest - Variable in class ec.pso.PSOBreeder
 
globalBestFitness - Variable in class ec.pso.PSOBreeder
 
globalCoeff - Variable in class ec.pso.PSOBreeder
 
GP_PREAMBLE - Static variable in class ec.gp.ge.GEIndividual
 
GPAtomicType - Class in ec.gp
A GPAtomicType is a simple, atomic GPType.
GPAtomicType(String) - Constructor for class ec.gp.GPAtomicType
Use this constructor for GPAtomic Type unless you know what you're doing
GPAtomicType() - Constructor for class ec.gp.GPAtomicType
Don't use this constructor unless you call setup(...) immediately after it.
GPBreedDefaults - Class in ec.gp.breed
A static class that returns the base for "default values" which various GP breeding operators use, rather than making the user specify them all on a per- species basis.
GPBreedDefaults() - Constructor for class ec.gp.breed.GPBreedDefaults
 
GPBreedingPipeline - Class in ec.gp
A GPBreedingPipeline is a BreedingPipeline which produces only members of some subclass of GPSpecies.
GPBreedingPipeline() - Constructor for class ec.gp.GPBreedingPipeline
 
GPBuildDefaults - Class in ec.gp.build
 
GPBuildDefaults() - Constructor for class ec.gp.build.GPBuildDefaults
 
GPData - Class in ec.gp
GPData is the parent class of data transferred between GPNodes.
GPData() - Constructor for class ec.gp.GPData
 
GPDefaults - Class in ec.gp
A static class that returns the base for "default values" which GP-style operators use, rather than making the user specify them all on a per- species basis.
GPDefaults() - Constructor for class ec.gp.GPDefaults
 
GPFunctionSet - Class in ec.gp
GPFunctionSet is a Clique which represents a set of GPNode prototypes forming a standard function set for forming certain trees in individuals.
GPFunctionSet() - Constructor for class ec.gp.GPFunctionSet
 
GPIndividual - Class in ec.gp
GPIndividual is an Individual used for GP evolution runs.
GPIndividual() - Constructor for class ec.gp.GPIndividual
 
GPInitializer - Class in ec.gp
GPInitializer is a SimpleInitializer which sets up all the Cliques, ( the initial [tree/node]constraints, types, and function sets) for the GP system.
GPInitializer() - Constructor for class ec.gp.GPInitializer
 
GPKozaDefaults - Class in ec.gp.koza
A static class that returns the base for "default values" which Koza-style operators use, rather than making the user specify them all on a per- species basis.
GPKozaDefaults() - Constructor for class ec.gp.koza.GPKozaDefaults
 
GPNode - Class in ec.gp
GPNode is a GPNodeParent which is the abstract superclass of all GP function nodes in trees.
GPNode() - Constructor for class ec.gp.GPNode
 
GPNodeBuilder - Class in ec.gp
GPNodeBuilder is a Prototype which defines the superclass for objects which create ("grow") GP trees, whether for population initialization, subtree mutation, or whatnot.
GPNodeBuilder() - Constructor for class ec.gp.GPNodeBuilder
 
GPNodeConstraints - Class in ec.gp
A GPNodeConstraints is a Clique which defines constraint information common to many different GPNode functions, namely return types, child types, and number of children.
GPNodeConstraints() - Constructor for class ec.gp.GPNodeConstraints
 
GPNodeGatherer - Class in ec.gp
GPNodeGatherer is a small container object for the GPNode.nodeInPosition(...) method and GPNode.numNodes(...) method.
GPNodeGatherer() - Constructor for class ec.gp.GPNodeGatherer
 
GPNodeParent - Interface in ec.gp
GPNodeParent is a Prototype which identifies objects which may be parents of GPNodes, namely: GPTrees and GPNodes.
GPNODEPRINTTAB - Static variable in class ec.gp.GPNode
 
GPNodeSelector - Interface in ec.gp
GPNodeSelector is a Prototype which describes algorithms which select random nodes out of trees, typically marking them for mutation, crossover, or whatnot.
GPProblem - Class in ec.gp
A GPProblem is a Problem which is meant to efficiently handle GP evaluation.
GPProblem() - Constructor for class ec.gp.GPProblem
 
GPSetType - Class in ec.gp
A GPSetType is a GPType which contains GPAtomicTypes in a set, and is used as a generic GP type.
GPSetType() - Constructor for class ec.gp.GPSetType
You should not construct new types.
gpspecies - Variable in class ec.gp.ge.GESpecies
The GPSpecies subsidiary to GESpecies.
GPSpecies - Class in ec.gp
GPSpecies is a simple individual which is suitable as a species for GP subpopulations.
GPSpecies() - Constructor for class ec.gp.GPSpecies
 
GPTree - Class in ec.gp
GPTree is a GPNodeParent which holds the root GPNode of a tree of GPNodes.
GPTree() - Constructor for class ec.gp.GPTree
 
GPTreeConstraints - Class in ec.gp
A GPTreeConstraints is a Clique which defines constraint information common to many different GPTree trees, namely the tree type, builder, and function set.
GPTreeConstraints() - Constructor for class ec.gp.GPTreeConstraints
 
GPType - Class in ec.gp
GPType is a Clique which represents types in Strongly-Typed Genetic Programming (STGP).
GPType() - Constructor for class ec.gp.GPType
 
grammar - Variable in class ec.gp.ge.GESpecies
The parsed grammars.
GrammarFunctionNode - Class in ec.gp.ge
A GrammarNode representing a GPNode in the GE Grammar.
GrammarFunctionNode(GPFunctionSet, String) - Constructor for class ec.gp.ge.GrammarFunctionNode
Determines the GPNode from the function set by the name.
GrammarFunctionNode(String) - Constructor for class ec.gp.ge.GrammarFunctionNode
 
GrammarNode - Class in ec.gp.ge
The abstract superclass of nodes used by GrammarParser to construct a parse graph to generate GEIndividuals.
GrammarNode(String) - Constructor for class ec.gp.ge.GrammarNode
 
grammarParser - Variable in class ec.gp.ge.GESpecies
Parser for each grammar -- khaled
GrammarParser - Class in ec.gp.ge
A GrammarParser is the basic class for parsing a GE ruleset into a parse graph of GrammarNodes.
GrammarParser() - Constructor for class ec.gp.ge.GrammarParser
 
GrammarRuleNode - Class in ec.gp.ge
A GrammarNode representing a Rule in the GE Grammar.
GrammarRuleNode(String) - Constructor for class ec.gp.ge.GrammarRuleNode
 
GreedyOverselection - Class in ec.select
GreedyOverselection is a SelectionMethod which implements Koza-style fitness-proportionate greedy overselection.
GreedyOverselection() - Constructor for class ec.select.GreedyOverselection
 
Group - Interface in ec
Groups are used for populations and subpopulations.
GroupedProblemForm - Interface in ec.coevolve
GroupedProblemForm.java
groupSize - Variable in class ec.coevolve.CompetitiveEvaluator
 
GrowBuilder - Class in ec.gp.koza
GrowBuilder is a GPNodeBuilder which implements the GROW tree building method described in Koza I/II.
GrowBuilder() - Constructor for class ec.gp.koza.GrowBuilder
 
growNode(EvolutionState, int, int, GPType, int, GPNodeParent, int, GPFunctionSet) - Method in class ec.gp.koza.KozaBuilder
A private function which recursively returns a GROW tree to newRootedTree(...)
gt(Object, Object) - Method in interface ec.util.SortComparator
Returns true if a > b, else false
gt(long, long) - Method in interface ec.util.SortComparatorL
Returns true if a > b, else false

H

HalfBuilder - Class in ec.gp.koza
HalfBuilder is a GPNodeBuilder which implements the RAMPED HALF-AND-HALF tree building method described in Koza I/II.
HalfBuilder() - Constructor for class ec.gp.koza.HalfBuilder
 
hashCode() - Method in class ec.gp.ge.GrammarNode
As usual
hashCode() - Method in class ec.gp.GPIndividual
 
hashCode() - Method in class ec.Individual
Returns a hashcode for the individual, such that individuals which are equals(...) each other always return the same hash code.
hashCode() - Method in class ec.pso.Particle
 
hashCode() - Method in class ec.rule.Rule
Rulerates a hash code for this rule -- the rule for this is that the hash code must be the same for two rules that are equal to each other genetically.
hashCode() - Method in class ec.rule.RuleIndividual
 
hashCode() - Method in class ec.rule.RuleSet
The hash code for the rule set.
hashCode() - Method in class ec.vector.BitVectorIndividual
 
hashCode() - Method in class ec.vector.ByteVectorIndividual
 
hashCode() - Method in class ec.vector.DoubleVectorIndividual
 
hashCode() - Method in class ec.vector.FloatVectorIndividual
 
hashCode() - Method in class ec.vector.Gene
Generates a hash code for this gene -- the rule for this is that the hash code must be the same for two genes that are equal to each other genetically.
hashCode() - Method in class ec.vector.GeneVectorIndividual
 
hashCode() - Method in class ec.vector.IntegerVectorIndividual
 
hashCode() - Method in class ec.vector.LongVectorIndividual
 
hashCode() - Method in class ec.vector.ShortVectorIndividual
 
hits - Variable in class ec.gp.koza.KozaFitness
This auxillary measure is used in some problems for additional information.
homologous - Variable in class ec.gp.breed.SizeFairCrossoverPipeline
 

I

i_prototype - Variable in class ec.Species
The prototypical individual for this species.
iAmServer - Variable in class ec.exchange.IslandExchange
whether the server should be running on the current island or not
immigrantsSelectionMethod - Variable in class ec.exchange.IslandExchange
the selection method for immigrants
includeSelf - Variable in class ec.pso.PSOBreeder
 
ind - Variable in class ec.steadystate.QueueIndividual
 
indices - Variable in class ec.gp.push.Terminal
For each PushInstruction, a pointer into instructions which gives the name of that instruction.
indices - Variable in class ec.select.SUSSelection
An array of pointers to individuals in the population, shuffled along with the fitnesses array.
Individual - Class in ec
An Individual is an item in the EC population stew which is evaluated and assigned a fitness which determines its likelihood of selection.
Individual() - Constructor for class ec.Individual
 
INDIVIDUAL_INDEX_PREAMBLE - Static variable in class ec.Subpopulation
 
IndividualPortrayal - Class in ec.display.portrayal
 
individualReplaced(SteadyStateEvolutionState, int, int, int) - Method in class ec.BreedingPipeline
 
individualReplaced(SteadyStateEvolutionState, int, int, int) - Method in class ec.parsimony.BucketTournamentSelection
 
individualReplaced(SteadyStateEvolutionState, int, int, int) - Method in class ec.parsimony.DoubleTournamentSelection
 
individualReplaced(SteadyStateEvolutionState, int, int, int) - Method in class ec.parsimony.RatioBucketTournamentSelection
 
individualReplaced(SteadyStateEvolutionState, int, int, int) - Method in class ec.select.FirstSelection
 
individualReplaced(SteadyStateEvolutionState, int, int, int) - Method in class ec.select.RandomSelection
 
individualReplaced(SteadyStateEvolutionState, int, int, int) - Method in class ec.select.TournamentSelection
 
individualReplaced(SteadyStateEvolutionState, int, int, int) - Method in class ec.steadystate.SteadyStateBreeder
Called whenever individuals have been replaced by new individuals in the population.
individualReplaced(SteadyStateEvolutionState, int, int, int) - Method in interface ec.steadystate.SteadyStateBSourceForm
Called whenever an individual has been replaced by another in the population.
individuals - Variable in class ec.Subpopulation
The subpopulation's individuals.
individualsBredStatistics(SteadyStateEvolutionState, Individual[]) - Method in class ec.Statistics
STEADY-STATE: called each time new individuals are bred during the steady-state process.
individualsBredStatistics(SteadyStateEvolutionState, Individual[]) - Method in interface ec.steadystate.SteadyStateStatisticsForm
Called each time new individuals are bred during the steady-state process.
individualsEvaluatedStatistics(SteadyStateEvolutionState, Individual[], Individual[], int[], int[]) - Method in class ec.Statistics
STEADY-STATE: called each time new individuals are evaluated during the steady-state process.
individualsEvaluatedStatistics(SteadyStateEvolutionState, Individual[], Individual[], int[], int[]) - Method in interface ec.steadystate.SteadyStateStatisticsForm
Called each time new individuals are evaluated during the steady-state process, NOT including the initial generation's individuals.
INDS_PRODUCED - Static variable in class ec.breed.BufferedBreedingPipeline
 
INDS_PRODUCED - Static variable in class ec.gp.breed.SizeFairCrossoverPipeline
 
INDS_PRODUCED - Static variable in class ec.gp.koza.CrossoverPipeline
 
INDS_PRODUCED - Static variable in class ec.gp.koza.MutationPipeline
 
INDS_PRODUCED - Static variable in class ec.rule.breed.RuleCrossoverPipeline
 
INDS_PRODUCED - Static variable in class ec.rule.breed.RuleMutationPipeline
 
INDS_PRODUCED - Static variable in class ec.SelectionMethod
 
indsToDieSelectionMethod - Variable in class ec.exchange.IslandExchange
the selection method for individuals to be replaced by immigrants
informantCoeff - Variable in class ec.pso.PSOBreeder
 
init - Variable in class ec.gp.GPTreeConstraints
The builder for the tree
INITIAL_STACK_SIZE - Static variable in class ec.gp.ADFStack
 
initialError(String) - Static method in class ec.util.Output
Prints an initial error to System.err.
initialError(String, Parameter) - Static method in class ec.util.Output
Prints an initial error to System.err.
initialError(String, Parameter, Parameter) - Static method in class ec.util.Output
Prints an initial error to System.err.
InitializationPipeline - Class in ec.breed
InitializationPipeline is a BreedingPipeline which simply generates a new random inidividual.
InitializationPipeline() - Constructor for class ec.breed.InitializationPipeline
 
initialize(ParameterDatabase, int) - Static method in class ec.Evolve
Initializes an evolutionary run given the parameters and a random seed adjustment (added to each random seed).
initialize(ParameterDatabase, int, Output) - Static method in class ec.Evolve
Initializes an evolutionary run given the parameters and a random seed adjustment (added to each random seed), with the Output pre-constructed.
initializeContacts(EvolutionState) - Method in class ec.eval.MasterProblem
Initialize contacts with the slaves
initializeContacts(EvolutionState) - Method in class ec.Evaluator
Called to set up remote evaluation network contacts when the run is started.
initializeContacts(EvolutionState) - Method in class ec.exchange.InterPopulationExchange
Initializes contacts with other processes, if that's what you're doing.
initializeContacts(EvolutionState) - Method in class ec.exchange.IslandExchange
Initializes contacts with other processes, if that's what you're doing.
initializeContacts(EvolutionState) - Method in class ec.Exchanger
Initializes contacts with other processes, if that's what you're doing.
initializeContacts(EvolutionState) - Method in class ec.gp.ge.GEProblem
 
initializeContacts(EvolutionState) - Method in class ec.Problem
Called to set up remote evaluation network contacts when the run is started.
initializeContacts(EvolutionState) - Method in class ec.simple.SimpleExchanger
Doesn't do anything.
initializeGenomeSegmentsByEndIndices(EvolutionState, Parameter, Parameter, int) - Method in class ec.vector.VectorSpecies
Looks up genome segments using end indices.
initializeGenomeSegmentsByStartIndices(EvolutionState, Parameter, Parameter, int) - Method in class ec.vector.VectorSpecies
Looks up genome segments using start indices.
initializer - Variable in class ec.EvolutionState
The population initializer, a singleton object.
Initializer - Class in ec
The Initializer is a singleton object whose job is to initialize the population at the beginning of the run.
Initializer() - Constructor for class ec.Initializer
 
initialMessage(String) - Static method in class ec.util.Output
Prints an initial message to System.err.
initialPopulation(EvolutionState, int) - Method in class ec.Initializer
Creates and returns a new initial population for the evolutionary run.
initialPopulation(EvolutionState, int) - Method in class ec.simple.SimpleInitializer
Creates, populates, and returns a new population by making a new population, calling setup(...) on it, and calling populate(...) on it, assuming an unthreaded environment (thread 0).
initialWarning(String) - Static method in class ec.util.Output
Prints an initial warning to System.err.
initialWarning(String, Parameter) - Static method in class ec.util.Output
Prints an initial warning to System.err.
initialWarning(String, Parameter, Parameter) - Static method in class ec.util.Output
Prints an initial warning to System.err.
initScheme - Variable in class ec.gp.ge.GESpecies
 
inNumericalTypeRange(double) - Method in class ec.vector.FloatVectorSpecies
 
inNumericalTypeRange(double) - Method in class ec.vector.IntegerVectorSpecies
 
inNumericalTypeRange(long) - Method in class ec.vector.IntegerVectorSpecies
 
input - Variable in class ec.gp.GPProblem
The GPProblem's GPData
input - Variable in class ec.util.DataPipe
The input stream
inReserve - Variable in class ec.gp.ADFStack
 
inssort(byte[]) - Static method in class ec.util.QuickSort
Insertion Sort
inssort(short[]) - Static method in class ec.util.QuickSort
Insertion Sort
inssort(char[]) - Static method in class ec.util.QuickSort
Insertion Sort
inssort(int[]) - Static method in class ec.util.QuickSort
Insertion Sort
inssort(long[]) - Static method in class ec.util.QuickSort
Insertion Sort
inssort(float[]) - Static method in class ec.util.QuickSort
Insertion Sort
inssort(double[]) - Static method in class ec.util.QuickSort
Insertion Sort
inssort(Object[], SortComparator) - Static method in class ec.util.QuickSort
Insertion Sort
inssort(long[], SortComparatorL) - Static method in class ec.util.QuickSort
Insertion Sort
inssort(int[], SortComparatorL) - Static method in class ec.util.QuickSort
Insertion Sort
instructions - Variable in class ec.gp.push.Terminal
Names of all the Push instructions I can be set to.
INTEGER_ERC - Static variable in class ec.gp.push.Terminal
 
IntegerVectorIndividual - Class in ec.vector
IntegerVectorIndividual is a VectorIndividual whose genome is an array of ints.
IntegerVectorIndividual() - Constructor for class ec.vector.IntegerVectorIndividual
 
IntegerVectorSpecies - Class in ec.vector
IntegerVectorSpecies is a subclass of VectorSpecies with special constraints for integral vectors, namely ByteVectorIndividual, ShortVectorIndividual, IntegerVectorIndividual, and LongVectorIndividual.
IntegerVectorSpecies() - Constructor for class ec.vector.IntegerVectorSpecies
 
InternalCrossoverPipeline - Class in ec.gp.breed
InternalCrossoverPipeline picks two subtrees from somewhere within an individual, and crosses them over.
InternalCrossoverPipeline() - Constructor for class ec.gp.breed.InternalCrossoverPipeline
 
InterPopulationExchange - Class in ec.exchange
InterPopulationExchange is an Exchanger which implements a simple exchanger between subpopulations.
InterPopulationExchange() - Constructor for class ec.exchange.InterPopulationExchange
 
interrupt() - Method in interface ec.util.ThreadPool.Worker
 
intForNode(GPNode) - Method in class ec.gp.build.Uniform
 
isFloatStackEmpty(Interpreter) - Method in class ec.gp.push.PushProblem
Tests to see if the interpreter's float stack is empty.
isIdeal - Variable in class ec.simple.SimpleFitness
 
isIdealFitness() - Method in class ec.Fitness
Should return true if this is a good enough fitness to end the run
isIdealFitness() - Method in class ec.gp.koza.KozaFitness
 
isIdealFitness() - Method in class ec.multiobjective.MultiObjectiveFitness
Returns true if this fitness is the "ideal" fitness.
isIdealFitness() - Method in class ec.simple.SimpleFitness
 
isInRange() - Method in class ec.vector.ByteVectorIndividual
Returns true if each gene value is within is specified [min,max] range.
isInRange() - Method in class ec.vector.DoubleVectorIndividual
Returns true if each gene value is within is specified [min,max] range.
isInRange() - Method in class ec.vector.FloatVectorIndividual
Returns true if each gene value is within is specified [min,max] range.
isInRange() - Method in class ec.vector.IntegerVectorIndividual
Returns true if each gene value is within is specified [min,max] range.
isInRange() - Method in class ec.vector.LongVectorIndividual
Returns true if each gene value is within is specified [min,max] range.
isInRange() - Method in class ec.vector.ShortVectorIndividual
Returns true if each gene value is within is specified [min,max] range.
isIntStackEmpty(Interpreter) - Method in class ec.gp.push.PushProblem
Tests to see if the interpreter's int stack is empty.
IslandExchange - Class in ec.exchange
IslandExchange is an Exchanger which implements a simple but quite functional asynchronous island model for doing massive parallel distribution of evolution across beowulf clusters.
IslandExchange() - Constructor for class ec.exchange.IslandExchange
 
isLeaf(Object) - Method in class ec.util.ReflectedObject
 
isLoggingToSystemOut - Variable in class ec.util.Log
 
isMaximizing() - Method in class ec.multiobjective.MultiObjectiveFitness
Deprecated.
Use isMaximizing(objective). This function now just returns whether the first objective is maximizing.
isMaximizing(int) - Method in class ec.multiobjective.MultiObjectiveFitness
 
isValidated(int[][], Object) - Method in class ec.vector.breed.ListCrossoverPipeline
A hook called by ListCrossoverPipeline to allow subclasses to further validate children crossover points.
iterator(GPNodeGatherer) - Method in class ec.gp.GPNode
Returns an iterator over all the GPNodes in the subtree rooted by this GPNode, filtered by the provided GPNodeGatherer.
iterator(int) - Method in class ec.gp.GPNode
Returns an iterator over all the GPNodes in the subtree rooted by this GPNode, filtered by the provided nodesearch option (either NODSEARCH_TERMINALS, NODESEARCH_NONTERMINALS, or NODESEARCH_ALL)
iterator() - Method in class ec.gp.GPNode
Returns an iterator over all the GPNodes in the subtree rooted by this GPNode.

J

Job - Class in ec.eval
Job.java This class stores information regarding a job submitted to a Slave: the individuals, the subpopulations in which they are stored, a scratch array for the individuals used internally, and various coevolutionary information (whether we should only count victories single-elimination-tournament style; which individuals should have their fitnesses updated).
Job() - Constructor for class ec.eval.Job
 
job - Variable in class ec.EvolutionState
Current job iteration variables, set by Evolve.
join(Object[]) - Method in class ec.pso.Particle
 
join(RuleSet) - Method in class ec.rule.RuleSet
Makes a copy of the rules in another RuleSet and adds the rule copies.
join(ThreadPool.Worker, Runnable) - Method in class ec.util.ThreadPool
Joins the given thread running the given Runnable.
join(ThreadPool.Worker) - Method in class ec.util.ThreadPool
If the thread is presently running a Runnable of any kind, blocks until the Runnable has finished running.
join(Object[]) - Method in class ec.vector.BitVectorIndividual
Joins the n pieces and sets the genome to their concatenation.
join(Object[]) - Method in class ec.vector.ByteVectorIndividual
Joins the n pieces and sets the genome to their concatenation.
join(Object[]) - Method in class ec.vector.DoubleVectorIndividual
Joins the n pieces and sets the genome to their concatenation.
join(Object[]) - Method in class ec.vector.FloatVectorIndividual
Joins the n pieces and sets the genome to their concatenation.
join(Object[]) - Method in class ec.vector.GeneVectorIndividual
Joins the n pieces and sets the genome to their concatenation.
join(Object[]) - Method in class ec.vector.IntegerVectorIndividual
Joins the n pieces and sets the genome to their concatenation.
join(Object[]) - Method in class ec.vector.LongVectorIndividual
Joins the n pieces and sets the genome to their concatenation.
join(Object[]) - Method in class ec.vector.ShortVectorIndividual
Joins the n pieces and sets the genome to their concatenation.
join(Object[]) - Method in class ec.vector.VectorIndividual
Joins the n pieces and sets the genome to their concatenation.
joinAll() - Method in class ec.util.ThreadPool
Waits until there are no outstanding workers: all pool workers are in the pool.

K

killAll() - Method in class ec.util.ThreadPool
Waits until there are no outstanding workers: all pool workers are in the pool.
killPooled() - Method in class ec.util.ThreadPool
Kills all unused workers in the pool.
KozaBuilder - Class in ec.gp.koza
 
KozaBuilder() - Constructor for class ec.gp.koza.KozaBuilder
 
KozaFitness - Class in ec.gp.koza
KozaFitness is a Fitness which stores an individual's fitness as described in Koza I.
KozaFitness() - Constructor for class ec.gp.koza.KozaFitness
 
KozaNodeSelector - Class in ec.gp.koza
KozaNodeSelector is a GPNodeSelector which picks nodes in trees a-la Koza I, with the addition of having a probability of always picking the root.
KozaNodeSelector() - Constructor for class ec.gp.koza.KozaNodeSelector
 
KozaShortStatistics - Class in ec.gp.koza
A Koza-style statistics generator, intended to be easily parseable with awk or other Unix tools.
KozaShortStatistics() - Constructor for class ec.gp.koza.KozaShortStatistics
 
kthNNDistance - Variable in class ec.multiobjective.spea2.SPEA2MultiObjectiveFitness
SPEA2 NN distance

L

l - Variable in class ec.util.DecodeReturn
Stores booleans (0=false), bytes, chars, shorts, ints, longs
lambda - Variable in class ec.es.MuCommaLambdaBreeder
 
lastIndex - Variable in class ec.select.SUSSelection
The index in the array of the last individual selected.
lastTime - Variable in class ec.simple.SimpleShortStatistics
 
Lexer - Class in ec.util
A simple line-by-line String tokenizer.
Lexer(CharSequence, String[]) - Constructor for class ec.util.Lexer
Builds a Lexer for the given input with the provided regular expressions.
LexicographicTournamentSelection - Class in ec.parsimony
Does a simple tournament selection, limited to the subpopulation it's working in at the time.
LexicographicTournamentSelection() - Constructor for class ec.parsimony.LexicographicTournamentSelection
 
lightClone() - Method in class ec.gp.GPIndividual
Like clone(), but doesn't force the GPTrees to deep-clone themselves.
lightClone() - Method in class ec.gp.GPNode
 
lightClone() - Method in class ec.gp.GPTree
Like clone() but doesn't copy the tree.
likelihood - Variable in class ec.BreedingPipeline
 
lineDistance - Variable in class ec.vector.VectorSpecies
How far along the long a child can be located for line or intermediate recombination
lineNumber - Variable in class ec.util.DecodeReturn
The Line number, if it has been posted.
list(PrintWriter) - Method in class ec.util.ParameterDatabase
Prints out all the parameters in the database, but not shadowed parameters.
list(PrintWriter, boolean) - Method in class ec.util.ParameterDatabase
Prints out all the parameters in the database.
listAccessed(PrintWriter) - Method in class ec.util.ParameterDatabase
Prints out all the parameters marked as accessed ("gotten" by some getFoo(...) method), plus their values.
ListCrossoverPipeline - Class in ec.vector.breed
ListCrossoverPipeline is a crossover pipeline for vector individuals whose length may be lengthened or shortened.
ListCrossoverPipeline() - Constructor for class ec.vector.breed.ListCrossoverPipeline
 
listGotten(PrintWriter) - Method in class ec.util.ParameterDatabase
Prints out all the parameters marked as used, plus their values.
listNotAccessed(PrintWriter) - Method in class ec.util.ParameterDatabase
Prints out all the parameters NOT marked as used, plus their values.
listNotGotten(PrintWriter) - Method in class ec.util.ParameterDatabase
Prints out all the parameters NOT marked as used, plus their values.
loadDomain(EvolutionState, Parameter) - Method in class ec.eval.MetaProblem
 
loadElites(EvolutionState, Population) - Method in class ec.multiobjective.spea2.SPEA2Breeder
 
loadElites(EvolutionState, Population) - Method in class ec.simple.SimpleBreeder
A private helper function for breedPopulation which loads elites into a subpopulation.
loadInds - Variable in class ec.Population
 
loadInds - Variable in class ec.Subpopulation
 
loadParameterDatabase(String[]) - Static method in class ec.Evolve
Loads a ParameterDatabase from checkpoint if "-params" is in the command-line arguments.
loadParameters() - Method in class ec.display.ControlPanel
 
loadParametersForGene(EvolutionState, int, Parameter, Parameter, String) - Method in class ec.vector.BitVectorSpecies
Called when VectorSpecies is setting up per-gene and per-segment parameters.
loadParametersForGene(EvolutionState, int, Parameter, Parameter, String) - Method in class ec.vector.FloatVectorSpecies
 
loadParametersForGene(EvolutionState, int, Parameter, Parameter, String) - Method in class ec.vector.IntegerVectorSpecies
 
loadParametersForGene(EvolutionState, int, Parameter, Parameter, String) - Method in class ec.vector.VectorSpecies
Called when VectorSpecies is setting up per-gene and per-segment parameters.
LocalHost - Class in ec.util
Modified from apache mail-archives.
LocalHost() - Constructor for class ec.util.LocalHost
 
lock - Variable in class ec.eval.MetaProblem
Acquire this lock before accessing bestUnderlyingIndividual
Log - Class in ec.util
Defines a log to which Output outputs.
Log(File, boolean, boolean) - Constructor for class ec.util.Log
Creates a log to a given filename; this file may or may not be appended to on restart, depending on _appendOnRestart.
Log(File, boolean, boolean, boolean) - Constructor for class ec.util.Log
Creates a log to a given filename; this file may or may not be appended to on restart, depending on _appendOnRestart.
Log(int, boolean) - Constructor for class ec.util.Log
Creates a log on stdout (descriptor == Log.D_STDOUT) or stderr (descriptor == Log.D_STDERR).
Log(Writer, LogRestarter, boolean, boolean) - Constructor for class ec.util.Log
Creates a log on a given Writer and custom LogRestarter.
LogRestarter - Class in ec.util
A LogRestarter is an abstract superclass of objects which are capable of restarting logs after a computer failure.
LogRestarter() - Constructor for class ec.util.LogRestarter
 
LongVectorIndividual - Class in ec.vector
LongVectorIndividual is a VectorIndividual whose genome is an array of longs.
LongVectorIndividual() - Constructor for class ec.vector.LongVectorIndividual
 
LPAREN - Static variable in class ec.gp.ge.GrammarParser
 
lt(Object, Object) - Method in interface ec.util.SortComparator
Returns true if a < b, else false
lt(long, long) - Method in interface ec.util.SortComparatorL
Returns true if a < b, else false

M

main(String[]) - Static method in class ec.display.Console
 
main(String[]) - Static method in class ec.eval.Slave
 
main(String[]) - Static method in class ec.Evolve
Top-level evolutionary loop.
main(String[]) - Static method in class ec.exchange.IslandExchange
 
main(String[]) - Static method in class ec.gp.ge.GrammarParser
A simple testing facility.
main(String[]) - Static method in class ec.util.MersenneTwister
Tests the code.
main(String[]) - Static method in class ec.util.MersenneTwisterFast
Tests the code.
main(String[]) - Static method in class ec.util.ParameterDatabase
Test the ParameterDatabase
main(String[]) - Static method in class ec.util.ThreadPool
 
make(int, EvolutionState, int) - Method in class ec.parsimony.DoubleTournamentSelection
Produces the index of a person selected from among several by a tournament.
makeBar(int, double[]) - Method in class ec.display.chart.BarChartStatistics
 
makeChart() - Method in class ec.display.chart.BarChartStatistics
 
makeChart() - Method in class ec.display.chart.ChartableStatistics
 
makeChart() - Method in class ec.display.chart.XYSeriesChartStatistics
 
makeCompressingInputStream(InputStream) - Static method in class ec.util.Output
Returns a compressing input stream using JZLib (http://www.jcraft.com/jzlib/).
makeCompressingOutputStream(OutputStream) - Static method in class ec.util.Output
Returns a compressing output stream using JZLib (http://www.jcraft.com/jzlib/).
makeCTree(boolean, boolean, boolean) - Method in class ec.gp.GPNode
Producess a String consisting of the tree in pseudo-C form, given that the parent already will wrap the expression in parentheses (or not).
makeGraphvizSubtree(String) - Method in class ec.gp.GPNode
Produces the inner code for a graphviz subtree.
makeGraphvizTree() - Method in class ec.gp.GPNode
Produces the Graphviz code for a Graphviz tree of the subtree rooted at this node.
makeLatexTree() - Method in class ec.gp.GPNode
Produces the LaTeX code for a LaTeX tree of the subtree rooted at this node, using the epic and fancybox packages, as described in sections 10.5.2 (page 307) and 10.1.3 (page 278) of The LaTeX Companion, respectively.
makeLispTree(StringBuilder) - Method in class ec.gp.GPNode
Produces a tree for human consumption in Lisp form similar to that generated by printTreeForHumans().
makeLispTree() - Method in class ec.gp.GPNode
 
makeTree(EvolutionState, int[], GPTree, int, int, int, HashMap) - Method in class ec.gp.ge.GESpecies
makeTree, edits the tree that its given by adding a root (and all subtrees attached)
makeTrees(EvolutionState, GEIndividual, GPTree[], int, HashMap) - Method in class ec.gp.ge.GESpecies
creates all of an individual's trees
makeTrees(EvolutionState, int[], GPTree[], int, HashMap) - Method in class ec.gp.ge.GESpecies
 
manhattanObjectiveDistance(MultiObjectiveFitness) - Method in class ec.multiobjective.MultiObjectiveFitness
Returns the Manhattan difference between two Fitnesses in Objective space.
map(EvolutionState, double[], FloatVectorSpecies, int) - Method in class ec.eval.MetaProblem
 
map(EvolutionState, GEIndividual, int, HashMap) - Method in class ec.gp.ge.GESpecies
Returns a dummy GPIndividual with a single tree which was built by mapping over the elements of the given GEIndividual.
MasterProblem - Class in ec.eval
MasterProblem.java
MasterProblem() - Constructor for class ec.eval.MasterProblem
 
masterproblem - Variable in class ec.Evaluator
 
maxarity - Variable in class ec.gp.build.Uniform
 
maxChildProduction() - Method in class ec.BreedingPipeline
Returns the maximum among the typicalIndsProduced() for any children -- a function that's useful internally, not very useful for you to call externally.
maxCrossoverPercentage - Variable in class ec.vector.breed.ListCrossoverPipeline
 
maxDepth - Variable in class ec.gp.breed.InternalCrossoverPipeline
The deepest tree the pipeline is allowed to form.
maxDepth - Variable in class ec.gp.breed.SizeFairCrossoverPipeline
The deepest tree the pipeline is allowed to form.
maxDepth - Variable in class ec.gp.build.PTC1
The largest maximum tree depth PTC1 can specify -- should be big.
maxDepth - Variable in class ec.gp.build.PTC2
The largest maximum tree depth GROW can specify -- should be big.
maxDepth - Variable in class ec.gp.koza.CrossoverPipeline
The deepest tree the pipeline is allowed to form.
maxDepth - Variable in class ec.gp.koza.KozaBuilder
The largest maximum tree depth RAMPED HALF-AND-HALF can specify.
maxFloatERC - Static variable in class ec.gp.push.Terminal
 
maxGene - Variable in class ec.vector.FloatVectorSpecies
Max-gene value, per gene.
maxGene(int) - Method in class ec.vector.FloatVectorSpecies
 
maxGene - Variable in class ec.vector.IntegerVectorSpecies
Max-gene value, per gene.
maxGene(int) - Method in class ec.vector.IntegerVectorSpecies
 
maxGeneratable - Variable in class ec.breed.GenerationSwitchPipeline
 
maxGeneratable - Variable in class ec.breed.MultiBreedingPipeline
 
maximize - Variable in class ec.multiobjective.MultiObjectiveFitness
Maximization.
MAXIMUM_INTEGER_IN_DOUBLE - Static variable in class ec.vector.DoubleVectorIndividual
 
MAXIMUM_SHORT_IN_FLOAT - Static variable in class ec.vector.FloatVectorIndividual
 
maximumMuLambdaDivisor() - Method in class ec.es.MuCommaLambdaBreeder
lambda should be no SMALLER than mu times this value.
maximumMuLambdaDivisor() - Method in class ec.es.MuPlusLambdaBreeder
 
maxInitialSize - Variable in class ec.vector.VectorSpecies
What's the largest legal genome?
maxIntegerERC - Static variable in class ec.gp.push.Terminal
 
maxObjective - Variable in class ec.multiobjective.MultiObjectiveFitness
Desired maximum fitness values.
MAXPRINTBYTES - Static variable in class ec.gp.GPNode
 
maxSize - Variable in class ec.gp.GPNodeBuilder
the minium possible size -- if unused, it's 0
maxSize - Variable in class ec.gp.koza.CrossoverPipeline
The largest tree (measured as a nodecount) the pipeline is allowed to form.
maxSize - Variable in class ec.gp.koza.MutationPipeline
The largest tree (measured as a nodecount) the pipeline is allowed to form.
maxSize - Variable in class ec.rule.RuleSetConstraints
 
maxtreesize - Variable in class ec.gp.build.Uniform
 
merge(EvolutionState, Fitness) - Method in class ec.Fitness
Merges the other fitness into this fitness.
merge(GrammarRuleNode) - Method in class ec.gp.ge.GrammarRuleNode
Adds to this node all the choices of another node.
merge(EvolutionState, Individual) - Method in class ec.Individual
Replaces myself with the other Individual, while merging our evaluation results together.
MERGE_BEST - Static variable in class ec.simple.SimpleEvaluator
 
MERGE_MEAN - Static variable in class ec.simple.SimpleEvaluator
 
MERGE_MEDIAN - Static variable in class ec.simple.SimpleEvaluator
 
mergeForm - Variable in class ec.simple.SimpleEvaluator
 
MersenneTwister - Class in ec.util
MersenneTwister and MersenneTwisterFast
MersenneTwister() - Constructor for class ec.util.MersenneTwister
Constructor using the default seed.
MersenneTwister(long) - Constructor for class ec.util.MersenneTwister
Constructor using a given seed.
MersenneTwister(int[]) - Constructor for class ec.util.MersenneTwister
Constructor using an array of integers as seed.
MersenneTwisterFast - Class in ec.util
MersenneTwister and MersenneTwisterFast
MersenneTwisterFast() - Constructor for class ec.util.MersenneTwisterFast
Constructor using the default seed.
MersenneTwisterFast(long) - Constructor for class ec.util.MersenneTwisterFast
Constructor using a given seed.
MersenneTwisterFast(int[]) - Constructor for class ec.util.MersenneTwisterFast
Constructor using an array of integers as seed.
message(String) - Method in class ec.util.Output
Posts a message.
message() - Static method in class ec.util.Version
 
MetaProblem - Class in ec.eval
MetaProblem is a special class for implenting so-called "Meta-Evolutionary Algorithms", a topic related to "HyperHeuristics".
MetaProblem() - Constructor for class ec.eval.MetaProblem
 
MIN_QUEUE_SIZE - Static variable in class ec.gp.build.PTC2
 
minChildProduction() - Method in class ec.BreedingPipeline
Returns the minimum among the typicalIndsProduced() for any children -- a function that's useful internally, not very useful for you to call externally.
minChildSize - Variable in class ec.vector.breed.ListCrossoverPipeline
 
minCrossoverPercentage - Variable in class ec.vector.breed.ListCrossoverPipeline
 
minDepth - Variable in class ec.gp.koza.KozaBuilder
The smallest maximum tree depth RAMPED HALF-AND-HALF can specify.
minFloatERC - Static variable in class ec.gp.push.Terminal
 
minGene - Variable in class ec.vector.FloatVectorSpecies
Min-gene value, per gene.
minGene(int) - Method in class ec.vector.FloatVectorSpecies
 
minGene - Variable in class ec.vector.IntegerVectorSpecies
Min-gene value, per gene.
minGene(int) - Method in class ec.vector.IntegerVectorSpecies
 
minimumJavaVersion - Static variable in class ec.util.Version
 
minimumSize - Variable in class ec.simple.SimpleBreeder
 
minInitialSize - Variable in class ec.vector.VectorSpecies
What's the smallest legal genome?
minIntegerERC - Static variable in class ec.gp.push.Terminal
 
minObjective - Variable in class ec.multiobjective.MultiObjectiveFitness
Desired minimum fitness values.
minSize - Variable in class ec.gp.GPNodeBuilder
 
minSize - Variable in class ec.rule.RuleSetConstraints
 
modifyParameters(EvolutionState, ParameterDatabase, int, Individual) - Method in class ec.eval.MetaProblem
Override this method to revise the provided parameter database to reflect the "parameters" specified in the given meta-individual.
modulo - Variable in class ec.exchange.IslandExchange
how often to send individuals
modulus - Variable in class ec.simple.SimpleShortStatistics
 
monitor - Variable in class ec.eval.MasterProblem
 
moveFromSubstack(int) - Method in class ec.gp.ADFStack
Moves n items onto the stack (popss them off the substack and pushes them onto the stack).
moveOntoSubstack(int) - Method in class ec.gp.ADFStack
Moves n items onto the substack (pops them off the stack and pushes them onto the substack).
mu - Variable in class ec.es.MuCommaLambdaBreeder
 
MuCommaLambdaBreeder - Class in ec.es
MuCommaLambdaBreeder is a Breeder which, together with ESSelection, implements the (mu,lambda) breeding strategy and gathers the comparison data you can use to implement a 1/5-rule mutation mechanism.
MuCommaLambdaBreeder() - Constructor for class ec.es.MuCommaLambdaBreeder
 
MULTI_FITNESS_POSTAMBLE - Static variable in class ec.multiobjective.MultiObjectiveFitness
 
MultiBreedingPipeline - Class in ec.breed
MultiBreedingPipeline is a BreedingPipeline stores some n child sources; each time it must produce an individual or two, it picks one of these sources at random and has it do the production.
MultiBreedingPipeline() - Constructor for class ec.breed.MultiBreedingPipeline
 
MultiObjectiveDefaults - Class in ec.multiobjective
 
MultiObjectiveDefaults() - Constructor for class ec.multiobjective.MultiObjectiveDefaults
 
MultiObjectiveFitness - Class in ec.multiobjective
MultiObjectiveFitness is a subclass of Fitness which implements basic multi-objective mechanisms suitable for being used with a variety of multi-objective selection mechanisms, including ones using pareto-optimality.
MultiObjectiveFitness() - Constructor for class ec.multiobjective.MultiObjectiveFitness
 
MultiObjectiveStatistics - Class in ec.multiobjective
 
MultiObjectiveStatistics() - Constructor for class ec.multiobjective.MultiObjectiveStatistics
 
multipleBitVectorCrossover(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.vector.breed.MultipleVectorCrossoverPipeline
Crosses over the Bit Vector Individuals using a uniform crossover method.
multipleByteVectorCrossover(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.vector.breed.MultipleVectorCrossoverPipeline
Crosses over the Byte Vector Individuals using a uniform crossover method.
multipleDoubleVectorCrossover(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.vector.breed.MultipleVectorCrossoverPipeline
Crosses over the Double Vector Individuals using a uniform crossover method.
multipleFloatVectorCrossover(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.vector.breed.MultipleVectorCrossoverPipeline
Crosses over the Float Vector Individuals using a uniform crossover method.
multipleGeneVectorCrossover(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.vector.breed.MultipleVectorCrossoverPipeline
Crosses over the Gene Vector Individuals using a uniform crossover method.
multipleIntegerVectorCrossover(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.vector.breed.MultipleVectorCrossoverPipeline
Crosses over the Integer Vector Individuals using a uniform crossover method.
multipleLongVectorCrossover(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.vector.breed.MultipleVectorCrossoverPipeline
Crosses over the Long Vector Individuals using a uniform crossover method.
multipleShortVectorCrossover(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.vector.breed.MultipleVectorCrossoverPipeline
Crosses over the Short Vector Individuals using a uniform crossover method.
MultipleVectorCrossoverPipeline - Class in ec.vector.breed
MultipleVectorCrossoverPipeline is a BreedingPipeline which implements a uniform (any point) crossover between multiple vectors.
MultipleVectorCrossoverPipeline() - Constructor for class ec.vector.breed.MultipleVectorCrossoverPipeline
 
MultiPopCoevolutionaryEvaluator - Class in ec.coevolve
MultiPopCoevolutionaryEvaluator.java
MultiPopCoevolutionaryEvaluator() - Constructor for class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
MultiSelection - Class in ec.select
MultiSelection is a SelectionMethod which stores some n subordinate SelectionMethods.
MultiSelection() - Constructor for class ec.select.MultiSelection
 
MuPlusLambdaBreeder - Class in ec.es
MuPlusLambdaBreeder is a subclass of MuCommaLambdaBreeder which, together with ESSelection, implements the (mu + lambda) breeding strategy and gathers the comparison data you can use to implement a 1/5-rule mutation mechanism.
MuPlusLambdaBreeder() - Constructor for class ec.es.MuPlusLambdaBreeder
 
mustClone - Variable in class ec.breed.ReproductionPipeline
 
mutate(EvolutionState, int) - Method in class ec.rule.Rule
Mutate the rule.
mutate(EvolutionState, int) - Method in class ec.rule.RuleIndividual
Mutates the Individual.
mutate(EvolutionState, int) - Method in class ec.rule.RuleSet
Mutates rules in the RuleSet independently with the given probability.
mutate(EvolutionState, int) - Method in class ec.vector.Gene
Mutate the gene.
MutateAllNodesPipeline - Class in ec.gp.breed
MutateAllNodesPipeline implements the AllNodes mutation algorithm described in Kumar Chellapilla, "A Preliminary Investigation into Evolving Modular Programs without Subtree Crossover", GP98.
MutateAllNodesPipeline() - Constructor for class ec.gp.breed.MutateAllNodesPipeline
 
MutateDemotePipeline - Class in ec.gp.breed
MutateDemotePipeline works very similarly to the DemoteNode algorithm described in Kumar Chellapilla, "A Preliminary Investigation into Evolving Modular Programs without Subtree Crossover", GP98, and is also similar to the "insertion" operator found in Una-May O'Reilly's thesis, "An Analysis of Genetic Programming".
MutateDemotePipeline() - Constructor for class ec.gp.breed.MutateDemotePipeline
 
mutateERC(EvolutionState, int) - Method in class ec.gp.ERC
Mutates the node's "value".
MutateERCPipeline - Class in ec.gp.breed
MutateERCPipeline works very similarly to the "Gaussian" algorithm described in Kumar Chellapilla, "A Preliminary Investigation into Evolving Modular Programs without Subtree Crossover", GP98.
MutateERCPipeline() - Constructor for class ec.gp.breed.MutateERCPipeline
 
mutateERCs(GPNode, EvolutionState, int) - Method in class ec.gp.breed.MutateERCPipeline
 
MutateOneNodePipeline - Class in ec.gp.breed
MutateOneNodesPipeline implements the OneNode mutation algorithm described in Kumar Chellapilla, "A Preliminary Investigation into Evolving Modular Programs without Subtree Crossover", GP98.
MutateOneNodePipeline() - Constructor for class ec.gp.breed.MutateOneNodePipeline
 
MutatePromotePipeline - Class in ec.gp.breed
MutatePromotePipeline works very similarly to the PromoteNode algorithm described in Kumar Chellapilla, "A Preliminary Investigation into Evolving Modular Programs without Subtree Crossover", GP98, and is also similar to the "deletion" operator found in Una-May O'Reilly's thesis, "An Analysis of Genetic Programming".
MutatePromotePipeline() - Constructor for class ec.gp.breed.MutatePromotePipeline
 
MutateSwapPipeline - Class in ec.gp.breed
MutateSwapPipeline works very similarly to the Swap algorithm described in Kumar Chellapilla, "A Preliminary Investigation into Evolving Modular Programs without Subtree Crossover", GP98.
MutateSwapPipeline() - Constructor for class ec.gp.breed.MutateSwapPipeline
 
mutationDistributionIndex - Variable in class ec.vector.FloatVectorSpecies
The distribution index for Polynomial Mutation, per gene.
mutationDistributionIndex(int) - Method in class ec.vector.FloatVectorSpecies
 
mutationIsBounded - Variable in class ec.vector.FloatVectorSpecies
Whether mutation is bounded to the min- and max-gene values, per gene.
mutationIsBounded(int) - Method in class ec.vector.FloatVectorSpecies
 
mutationIsBounded - Variable in class ec.vector.IntegerVectorSpecies
Whether mutation is bounded to the min- and max-gene values, per gene.
mutationIsBounded(int) - Method in class ec.vector.IntegerVectorSpecies
 
MutationPipeline - Class in ec.gp.koza
MutationPipeline is a GPBreedingPipeline which implements a strongly-typed version of the "Point Mutation" operator as described in Koza I.
MutationPipeline() - Constructor for class ec.gp.koza.MutationPipeline
 
mutationProbability - Variable in class ec.vector.VectorSpecies
Probability that a gene will mutate, per gene.
mutationProbability(int) - Method in class ec.vector.VectorSpecies
 
mutationType - Variable in class ec.vector.BitVectorSpecies
Mutation type, per gene.
mutationType(int) - Method in class ec.vector.BitVectorSpecies
 
mutationType - Variable in class ec.vector.FloatVectorSpecies
Mutation type, per gene.
mutationType(int) - Method in class ec.vector.FloatVectorSpecies
 
mutationType - Variable in class ec.vector.IntegerVectorSpecies
Mutation type, per gene.
mutationType(int) - Method in class ec.vector.IntegerVectorSpecies
 
mybase - Variable in class ec.BreedingPipeline
My parameter base -- I keep it around so I can print some messages that are useful with it (not deep cloned)

N

N_BUCKETS_DEFAULT - Static variable in class ec.parsimony.BucketTournamentSelection
Default number of buckets
N_RULES - Static variable in class ec.rule.RuleSet
The message to appear when printing the rule set
name - Variable in class ec.gp.ADF
The "function name" of the ADF, to distinguish it from other GP functions you might provide.
name() - Method in class ec.gp.ADF
 
name - Variable in class ec.gp.ADFArgument
The "function name" of the ADFArgument, to distinguish it from other GP functions you might provide.
name() - Method in class ec.gp.ADFArgument
 
name() - Method in class ec.gp.ERC
Returns the lowercase "name" of this ERC function class, some simple, short name which distinguishes this class from other ERC function classes you're using.
name - Variable in class ec.gp.GPFunctionSet
Name of the GPFunctionSet
name() - Method in class ec.gp.GPNode
Returns a Lisp-like atom for the node and any nodes of the same class.
name - Variable in class ec.gp.GPNodeConstraints
The name of the GPNodeConstraints object -- this is NOT the name of the GPNode
name - Variable in class ec.gp.GPTreeConstraints
 
name - Variable in class ec.gp.GPType
The name of the type
name() - Method in class ec.gp.push.Terminal
 
name - Variable in class ec.rule.RuleConstraints
The name of the RuleConstraints object
name - Variable in class ec.rule.RuleSetConstraints
The name of the RuleSetConstraints object
name - Static variable in class ec.util.Version
 
neighborhood - Variable in class ec.pso.Particle
 
neighborhood - Variable in class ec.pso.PSOBreeder
 
neighborhoodBestFitness - Variable in class ec.pso.Particle
 
neighborhoodBestGenome - Variable in class ec.pso.Particle
 
neighborhoodSize - Variable in class ec.pso.PSOBreeder
 
newIndividual(EvolutionState, int) - Method in class ec.gp.ge.GESpecies
This is an ugly hack to simulate the "Sensible Initialization", First we create a GPIndividual, then reverse-map it to GEIndividuals, We do not need to call IntegerVectorSpecies.newIndividual() since it is overriden by the GPSpecies.newIndividual(); Moreover, as in the case for non-identical representations (i,e, GP-GE island models etc,), the grammar rules, tree constraints, ERC's etc, are supposed to be identical across all islands, so we are using the same "gpspecies" inside this class.
newIndividual(EvolutionState, int) - Method in class ec.gp.GPSpecies
 
newIndividual(EvolutionState, LineNumberReader) - Method in class ec.gp.GPSpecies
 
newIndividual(EvolutionState, DataInput) - Method in class ec.gp.GPSpecies
 
newIndividual(EvolutionState, int) - Method in class ec.rule.RuleSpecies
 
newIndividual(EvolutionState, int) - Method in class ec.Species
Provides a brand-new individual to fill in a population.
newIndividual(EvolutionState, LineNumberReader) - Method in class ec.Species
Provides an individual read from a stream, including the fitness; the individual will appear as it was written by printIndividual(...).
newIndividual(EvolutionState, DataInput) - Method in class ec.Species
Provides an individual read from a DataInput source, including the fitness.
newIndividual(EvolutionState, int) - Method in class ec.vector.VectorSpecies
 
newRootedTree(EvolutionState, GPType, int, GPNodeParent, GPFunctionSet, int, int) - Method in class ec.gp.build.PTC1
 
newRootedTree(EvolutionState, GPType, int, GPNodeParent, GPFunctionSet, int, int) - Method in class ec.gp.build.PTC2
 
newRootedTree(EvolutionState, GPType, int, GPNodeParent, GPFunctionSet, int, int) - Method in class ec.gp.build.RandomBranch
 
newRootedTree(EvolutionState, GPType, int, GPNodeParent, GPFunctionSet, int, int) - Method in class ec.gp.build.RandTree
 
newRootedTree(EvolutionState, GPType, int, GPNodeParent, GPFunctionSet, int, int) - Method in class ec.gp.build.Uniform
 
newRootedTree(EvolutionState, GPType, int, GPNodeParent, GPFunctionSet, int, int) - Method in class ec.gp.GPNodeBuilder
 
newRootedTree(EvolutionState, GPType, int, GPNodeParent, GPFunctionSet, int, int) - Method in class ec.gp.koza.FullBuilder
 
newRootedTree(EvolutionState, GPType, int, GPNodeParent, GPFunctionSet, int, int) - Method in class ec.gp.koza.GrowBuilder
 
newRootedTree(EvolutionState, GPType, int, GPNodeParent, GPFunctionSet, int, int) - Method in class ec.gp.koza.HalfBuilder
 
newRootedTree(EvolutionState, GPType, int, GPNodeParent, GPFunctionSet, int, int) - Method in class ec.gp.push.PushBuilder
 
next(int) - Method in class ec.util.MersenneTwister
Returns an integer with bits bits filled with a random number.
nextBoolean() - Method in class ec.util.MersenneTwister
This method is missing from jdk 1.0.x and below.
nextBoolean(float) - Method in class ec.util.MersenneTwister
This generates a coin flip with a probability probability of returning true, else returning false.
nextBoolean(double) - Method in class ec.util.MersenneTwister
This generates a coin flip with a probability probability of returning true, else returning false.
nextBoolean() - Method in class ec.util.MersenneTwisterFast
 
nextBoolean(float) - Method in class ec.util.MersenneTwisterFast
This generates a coin flip with a probability probability of returning true, else returning false.
nextBoolean(double) - Method in class ec.util.MersenneTwisterFast
This generates a coin flip with a probability probability of returning true, else returning false.
nextByte() - Method in class ec.util.MersenneTwister
For completeness' sake, though it's not in java.util.Random.
nextByte() - Method in class ec.util.MersenneTwisterFast
 
nextBytes(byte[]) - Method in class ec.util.MersenneTwister
A bug fix for all versions of the JDK.
nextBytes(byte[]) - Method in class ec.util.MersenneTwisterFast
 
nextChar() - Method in class ec.util.MersenneTwister
For completeness' sake, though it's not in java.util.Random.
nextChar() - Method in class ec.util.MersenneTwisterFast
 
nextDouble() - Method in class ec.util.MersenneTwister
A bug fix for versions of JDK 1.1 and below.
nextDouble(boolean, boolean) - Method in class ec.util.MersenneTwister
Returns a double in the range from 0.0 to 1.0, possibly inclusive of 0.0 and 1.0 themselves.
nextDouble() - Method in class ec.util.MersenneTwisterFast
Returns a random double in the half-open range from [0.0,1.0).
nextDouble(boolean, boolean) - Method in class ec.util.MersenneTwisterFast
Returns a double in the range from 0.0 to 1.0, possibly inclusive of 0.0 and 1.0 themselves.
nextFloat() - Method in class ec.util.MersenneTwister
A bug fix for versions of JDK 1.1 and below.
nextFloat(boolean, boolean) - Method in class ec.util.MersenneTwister
Returns a float in the range from 0.0f to 1.0f, possibly inclusive of 0.0f and 1.0f themselves.
nextFloat() - Method in class ec.util.MersenneTwisterFast
Returns a random float in the half-open range from [0.0f,1.0f).
nextFloat(boolean, boolean) - Method in class ec.util.MersenneTwisterFast
Returns a float in the range from 0.0f to 1.0f, possibly inclusive of 0.0f and 1.0f themselves.
nextGaussian() - Method in class ec.util.MersenneTwister
A bug fix for all JDK code including 1.2.
nextGaussian() - Method in class ec.util.MersenneTwisterFast
 
nextInt(int) - Method in class ec.util.MersenneTwister
This method is missing from JDK 1.1 and below.
nextInt() - Method in class ec.util.MersenneTwisterFast
 
nextInt(int) - Method in class ec.util.MersenneTwisterFast
Returns an integer drawn uniformly from 0 to n-1.
nextLong(long) - Method in class ec.util.MersenneTwister
This method is for completness' sake.
nextLong() - Method in class ec.util.MersenneTwisterFast
 
nextLong(long) - Method in class ec.util.MersenneTwisterFast
Returns a long drawn uniformly from 0 to n-1.
nextShort() - Method in class ec.util.MersenneTwister
For completeness' sake, though it's not in java.util.Random.
nextShort() - Method in class ec.util.MersenneTwisterFast
 
nextToken(boolean) - Method in class ec.util.Lexer
Returns the next token as a string.
nextToken() - Method in class ec.util.Lexer
Returns the next token as a string.
NO_LOGS - Static variable in class ec.util.Output
When passed to print functions, doesn't do any printing
NO_PROBABILITY - Static variable in class ec.BreedingSource
 
NO_SIZE_LIMIT - Static variable in class ec.gp.koza.CrossoverPipeline
 
NO_SIZE_LIMIT - Static variable in class ec.gp.koza.MutationPipeline
 
NO_TREENUM - Static variable in class ec.gp.GPTree
 
nodeConstraintRepository - Variable in class ec.gp.GPInitializer
 
nodeConstraints - Variable in class ec.gp.GPInitializer
 
nodeEquals(GPNode) - Method in class ec.gp.ADF
Determines node equality by comparing the class, associated tree, and function name of the nodes.
nodeEquals(GPNode) - Method in class ec.gp.ERC
Implement this to do ERC-to-ERC comparisons.
nodeEquals(GPNode) - Method in class ec.gp.GPNode
Returns true if I am the "genetically" identical to this node, and our children arrays are the same length, though we may have different parents and children.
nodeEquals(GPNode) - Method in class ec.gp.push.Terminal
 
nodeEquivalentTo(GPNode) - Method in class ec.gp.GPNode
Returns true if I and the provided node are the same kind of node -- that is, we could have both been cloned() and reset() from the same prototype node.
nodeHashCode() - Method in class ec.gp.ADF
Returns name.hashCode() + class.hashCode() + associatedTree.
nodeHashCode() - Method in class ec.gp.ERC
Implement this to hash ERCs, along with other nodes, in such a way that two "equal" ERCs will usually hash to the same value.
nodeHashCode() - Method in class ec.gp.GPNode
Returns a hashcode usually associated with all nodes that are equal to you (using nodeEquals(...)).
nodeInPosition(int, GPNodeGatherer) - Method in class ec.gp.GPNode
Returns the p'th node, constrained by nodesearch, in the subtree for which this GPNode is root.
nodeInPosition(int, int) - Method in class ec.gp.GPNode
Returns the p'th node, constrained by nodesearch, in the subtree for which this GPNode is root.
nodes - Variable in class ec.gp.GPFunctionSet
The nodes that our GPTree can use: nodes[type][thenodes].
nodes - Variable in class ec.gp.koza.KozaNodeSelector
The number of nodes in the tree, -1 if unknown.
nodes_h - Variable in class ec.gp.GPFunctionSet
The nodes that our GPTree can use: arrays of nodes hashed by type.
nodesByArity - Variable in class ec.gp.GPFunctionSet
Nodes == a given arity, that is: nodesByArity[type][arity][thenodes]
nodesByName - Variable in class ec.gp.GPFunctionSet
The nodes that our GPTree can use, hashed by name().
NODESEARCH_ALL - Static variable in class ec.gp.GPNode
 
NODESEARCH_NONTERMINALS - Static variable in class ec.gp.GPNode
 
NODESEARCH_TERMINALS - Static variable in class ec.gp.GPNode
 
nodeselect - Variable in class ec.gp.breed.MutateAllNodesPipeline
How the pipeline chooses a subtree to mutate
nodeselect - Variable in class ec.gp.breed.MutateERCPipeline
How the pipeline chooses a subtree to mutate
nodeselect - Variable in class ec.gp.breed.MutateOneNodePipeline
How the pipeline chooses a subtree to mutate
nodeselect - Variable in class ec.gp.koza.MutationPipeline
How the pipeline chooses a subtree to mutate
nodeselect0 - Variable in class ec.gp.breed.InternalCrossoverPipeline
How the pipeline chooses the first subtree
nodeselect1 - Variable in class ec.gp.breed.InternalCrossoverPipeline
How the pipeline chooses the second subtree
nodeselect1 - Variable in class ec.gp.breed.SizeFairCrossoverPipeline
How the pipeline selects a node from individual 1
nodeselect1 - Variable in class ec.gp.koza.CrossoverPipeline
How the pipeline selects a node from individual 1
nodeselect2 - Variable in class ec.gp.breed.SizeFairCrossoverPipeline
How the pipeline selects a node from individual 2
nodeselect2 - Variable in class ec.gp.koza.CrossoverPipeline
How the pipeline selects a node from individual 2
Nonterminal - Class in ec.gp.push
ECJ implements Push's s-expressions as trees of nonterminals and terminals.
Nonterminal() - Constructor for class ec.gp.push.Nonterminal
 
nonterminalProbabilities(int) - Method in class ec.gp.build.PTCFunctionSet
 
nonterminalProbabilities(int) - Method in interface ec.gp.build.PTCFunctionSetForm
Returns an organized distribution (see ec.util.RandomChoice) of likelihoods that various nonterminals in the function set will be chosen over other nonterminals with the same return type.
nonterminalProbability - Variable in class ec.gp.koza.KozaNodeSelector
The probability a nonterminal must be chosen.
nonterminals - Variable in class ec.gp.GPFunctionSet
The nonterminals our GPTree can use: nonterminals[type][thenodes].
nonterminals - Variable in class ec.gp.koza.KozaNodeSelector
The number of nonterminals in the tree, -1 if unknown.
nonterminals_h - Variable in class ec.gp.GPFunctionSet
The nonterminals our GPTree can use: arrays of nonterminals hashed by type.
nonterminalSelectionProbabilities(int) - Method in class ec.gp.build.PTCFunctionSet
 
nonterminalSelectionProbabilities(int) - Method in interface ec.gp.build.PTCFunctionSetForm
Returns an array (by return type) of the probability that PTC1 must pick a nonterminal over a terminal in order to guarantee the expectedTreeSize.
nonterminalsOverArity - Variable in class ec.gp.GPFunctionSet
Nonterminals >= a given arity, that is: nonterminalsOverArity[type][arity][thenodes] -- this will be O(n^2).
nonterminalsUnderArity - Variable in class ec.gp.GPFunctionSet
Nonterminals <= a given arity, that is: nonterminalsUnderArity[type][arity][thenodes] -- this will be O(n^2).
NOSIZEGIVEN - Static variable in class ec.gp.GPNodeBuilder
Produces a new rooted tree of GPNodes whose root's return type is swap-compatible with type.
NOT_SET - Static variable in class ec.select.BestSelection
 
NOT_SET - Static variable in class ec.simple.SimpleBreeder
 
notifyMonitor(Object) - Method in class ec.eval.SlaveMonitor
 
NSGA2_RANK_PREAMBLE - Static variable in class ec.multiobjective.nsga2.NSGA2MultiObjectiveFitness
 
NSGA2_SPARSITY_PREAMBLE - Static variable in class ec.multiobjective.nsga2.NSGA2MultiObjectiveFitness
 
NSGA2Breeder - Class in ec.multiobjective.nsga2
This SimpleBreeder subclass breeds a set of children from the Population, then joins the original Population with the children in a (mu+mu) fashion.
NSGA2Breeder() - Constructor for class ec.multiobjective.nsga2.NSGA2Breeder
 
NSGA2Evaluator - Class in ec.multiobjective.nsga2
The NSGA2Evaluator is a simple generational evaluator which evaluates every single member of the population (in a multithreaded fashion).
NSGA2Evaluator() - Constructor for class ec.multiobjective.nsga2.NSGA2Evaluator
 
NSGA2MultiObjectiveFitness - Class in ec.multiobjective.nsga2
NSGA2MultiObjectiveFitness is a subclass of MultiObjeciveFitness which adds auxiliary fitness measures (sparsity, rank) largely used by MultiObjectiveStatistics.
NSGA2MultiObjectiveFitness() - Constructor for class ec.multiobjective.nsga2.NSGA2MultiObjectiveFitness
 
NUM_INDIVIDUALS_PREAMBLE - Static variable in class ec.Subpopulation
 
NUM_SOURCES - Static variable in class ec.breed.BufferedBreedingPipeline
 
NUM_SOURCES - Static variable in class ec.breed.CheckingPipeline
 
NUM_SOURCES - Static variable in class ec.breed.GenerationSwitchPipeline
 
NUM_SOURCES - Static variable in class ec.breed.InitializationPipeline
 
NUM_SOURCES - Static variable in class ec.breed.ReproductionPipeline
 
NUM_SOURCES - Static variable in class ec.breed.UniquePipeline
 
NUM_SOURCES - Static variable in class ec.gp.breed.InternalCrossoverPipeline
 
NUM_SOURCES - Static variable in class ec.gp.breed.MutateAllNodesPipeline
 
NUM_SOURCES - Static variable in class ec.gp.breed.MutateDemotePipeline
 
NUM_SOURCES - Static variable in class ec.gp.breed.MutateERCPipeline
 
NUM_SOURCES - Static variable in class ec.gp.breed.MutateOneNodePipeline
 
NUM_SOURCES - Static variable in class ec.gp.breed.MutatePromotePipeline
 
NUM_SOURCES - Static variable in class ec.gp.breed.MutateSwapPipeline
 
NUM_SOURCES - Static variable in class ec.gp.breed.RehangPipeline
 
NUM_SOURCES - Static variable in class ec.gp.breed.SizeFairCrossoverPipeline
 
NUM_SOURCES - Static variable in class ec.gp.koza.CrossoverPipeline
 
NUM_SOURCES - Static variable in class ec.gp.koza.MutationPipeline
 
NUM_SOURCES - Static variable in class ec.rule.breed.RuleCrossoverPipeline
 
NUM_SOURCES - Static variable in class ec.rule.breed.RuleMutationPipeline
 
NUM_SOURCES - Static variable in class ec.vector.breed.GeneDuplicationPipeline
 
NUM_SOURCES - Static variable in class ec.vector.breed.ListCrossoverPipeline
 
NUM_SOURCES - Static variable in class ec.vector.breed.VectorCrossoverPipeline
 
NUM_SOURCES - Static variable in class ec.vector.breed.VectorMutationPipeline
 
NUM_SUBPOPS_PREAMBLE - Static variable in class ec.Population
 
numAtomicTypes - Variable in class ec.gp.GPInitializer
 
numCharts - Variable in class ec.display.StatisticsChartPane
 
NUMCHILDPERMUTATIONS - Variable in class ec.gp.build.Uniform
 
numChildPermutations(GPInitializer, int, GPNode, int, int, int) - Method in class ec.gp.build.Uniform
 
numCurrent - Variable in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
numDuplicateRetries - Variable in class ec.breed.UniquePipeline
 
numDuplicateRetries - Variable in class ec.Subpopulation
Do we allow duplicates?
numElite - Variable in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
numElites(EvolutionState, int) - Method in class ec.simple.SimpleBreeder
 
NUMERIC_CONSTANT - Static variable in class ec.gp.ge.GrammarParser
 
numEvaluations - Variable in class ec.EvolutionState
How many evaluations should we run for? If set to UNDEFINED (0), we run for the number of generations instead.
numfuncnodes - Variable in class ec.gp.build.Uniform
 
numGenerations - Variable in class ec.EvolutionState
The number of generations the evolutionary computation system will run until it ends.
numInds - Variable in class ec.breed.ForceBreedingPipeline
 
numLogs() - Method in class ec.util.Output
Returns the number of logs currently posted.
numNodeConstraints - Variable in class ec.gp.GPInitializer
 
numNodes(GPNodeGatherer) - Method in class ec.gp.GPNode
Returns the number of nodes, constrained by g.test(...) in the subtree for which this GPNode is root.
numNodes(int) - Method in class ec.gp.GPNode
Returns the number of nodes, constrained by nodesearch, in the subtree for which this GPNode is root.
numPrev - Variable in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
numRead() - Method in class ec.util.DataPipe
Returns the number of elements read from the buffer so far (after the last reset()).
numRuleConstraints - Variable in class ec.rule.RuleInitializer
 
numRules - Variable in class ec.rule.RuleSet
How many rules are there used in the rules array
numRules() - Method in class ec.rule.RuleSet
How many rules are there used in the rules array
numRuleSetConstraints - Variable in class ec.rule.RuleInitializer
 
numRulesForReset(RuleSet, EvolutionState, int) - Method in class ec.rule.RuleSetConstraints
Returns a stochastic value picked to specify the number of rules to generate when calling reset() on this kind of Rule.
numSetTypes - Variable in class ec.gp.GPInitializer
 
numShuffled - Variable in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
numSources() - Method in class ec.breed.BufferedBreedingPipeline
 
numSources() - Method in class ec.breed.CheckingPipeline
 
numSources() - Method in class ec.breed.ForceBreedingPipeline
 
numSources() - Method in class ec.breed.GenerationSwitchPipeline
 
numSources() - Method in class ec.breed.InitializationPipeline
 
numSources() - Method in class ec.breed.MultiBreedingPipeline
 
numSources() - Method in class ec.breed.ReproductionPipeline
 
numSources() - Method in class ec.breed.UniquePipeline
 
numSources() - Method in class ec.BreedingPipeline
Returns the number of sources to this pipeline.
numSources() - Method in class ec.gp.breed.InternalCrossoverPipeline
 
numSources() - Method in class ec.gp.breed.MutateAllNodesPipeline
 
numSources() - Method in class ec.gp.breed.MutateDemotePipeline
 
numSources() - Method in class ec.gp.breed.MutateERCPipeline
 
numSources() - Method in class ec.gp.breed.MutateOneNodePipeline
 
numSources() - Method in class ec.gp.breed.MutatePromotePipeline
 
numSources() - Method in class ec.gp.breed.MutateSwapPipeline
 
numSources() - Method in class ec.gp.breed.RehangPipeline
 
numSources() - Method in class ec.gp.breed.SizeFairCrossoverPipeline
 
numSources() - Method in class ec.gp.koza.CrossoverPipeline
 
numSources() - Method in class ec.gp.koza.MutationPipeline
 
numSources() - Method in class ec.rule.breed.RuleCrossoverPipeline
Returns 2
numSources() - Method in class ec.rule.breed.RuleMutationPipeline
Returns 1
numSources() - Method in class ec.vector.breed.GeneDuplicationPipeline
 
numSources() - Method in class ec.vector.breed.ListCrossoverPipeline
 
numSources() - Method in class ec.vector.breed.MultipleVectorCrossoverPipeline
Returns the number of parents
numSources() - Method in class ec.vector.breed.VectorCrossoverPipeline
Returns 2
numSources() - Method in class ec.vector.breed.VectorMutationPipeline
Returns 1
numTests - Variable in class ec.simple.SimpleEvaluator
 
numTreeConstraints - Variable in class ec.gp.GPInitializer
 
NUMTREESOFTYPE - Variable in class ec.gp.build.Uniform
 
numTreesOfType(GPInitializer, int, int, int) - Method in class ec.gp.build.Uniform
 
NUMTREESROOTEDBYNODE - Variable in class ec.gp.build.Uniform
 
numTreesRootedByNode(GPInitializer, int, GPNode, int) - Method in class ec.gp.build.Uniform
 
numTries - Variable in class ec.gp.breed.InternalCrossoverPipeline
How many times the pipeline attempts to pick nodes until it gives up.
numTries - Variable in class ec.gp.breed.SizeFairCrossoverPipeline
How many times the pipeline attempts to pick nodes until it gives up.
numTries - Variable in class ec.gp.koza.CrossoverPipeline
How many times the pipeline attempts to pick nodes until it gives up.
numTries - Variable in class ec.vector.breed.ListCrossoverPipeline
 
numWritten() - Method in class ec.util.DataPipe
Returns the number of elements written to the buffer so far (after the last reset()).

O

objectives - Variable in class ec.multiobjective.MultiObjectiveFitness
The various fitnesses.
obtainERC(EvolutionState, int, int, GPNode, HashMap) - Method in class ec.gp.ge.GESpecies
Loads an ERC from the ERCBank given the value in the genome.
offset - Variable in class ec.exchange.IslandExchange
after how many generations to start sending individuals
offset - Variable in class ec.select.SUSSelection
The floating point value to consider for the next selected individual.
OKAY - Static variable in class ec.exchange.IslandExchange
Okay signal
oneShot - Static variable in class ec.eval.Slave
 
onStack - Variable in class ec.gp.ADFStack
 
onSubstack - Variable in class ec.gp.ADFStack
 
organizeDistribution(float[]) - Static method in class ec.util.RandomChoice
Same as organizeDistribution(probabilities, false);
organizeDistribution(float[], boolean) - Static method in class ec.util.RandomChoice
Normalizes probabilities, then converts them into continuing sums.
organizeDistribution(double[]) - Static method in class ec.util.RandomChoice
Same as organizeDistribution(probabilities, false);
organizeDistribution(double[], boolean) - Static method in class ec.util.RandomChoice
Normalizes probabilities, then converts them into continuing sums.
organizeDistribution(Object[], RandomChoiceChooser) - Static method in class ec.util.RandomChoice
Same as organizeDistribution(objs, chooser, false);
organizeDistribution(Object[], RandomChoiceChooser, boolean) - Static method in class ec.util.RandomChoice
Normalizes the probabilities associated with an array of objects, then converts them into continuing sums.
organizeDistribution(Object[], RandomChoiceChooserD) - Static method in class ec.util.RandomChoice
Same as organizeDistribution(objs, chooser, false);
organizeDistribution(Object[], RandomChoiceChooserD, boolean) - Static method in class ec.util.RandomChoice
Normalizes the probabilities associated with an array of objects, then converts them into continuing sums.
originalPopSize - Variable in class ec.multiobjective.nsga2.NSGA2Evaluator
The original population size is stored here so NSGA2 knows how large to create the archive (it's the size of the original population -- keep in mind that NSGA2Breeder had made the population larger to include the children.
outgoingIds - Variable in class ec.exchange.IslandExchange
 
outOfBoundsRetries - Variable in class ec.vector.FloatVectorSpecies
The number of times Polynomial Mutation or Gaussian Mutation retry for valid numbers until they get one.
outOfRangeRetryLimitReached(EvolutionState) - Method in class ec.vector.FloatVectorSpecies
 
output - Variable in class ec.EvolutionState
The output and logging facility (threadsafe).
output - Variable in class ec.util.DataPipe
The output stream
Output - Class in ec.util
Outputs and logs system messages, errors, and other various items printed as a result of a run.
Output(boolean, int) - Constructor for class ec.util.Output
Deprecated.
Verbosity no longer has an effect.
Output(boolean) - Constructor for class ec.util.Output
Creates a new, verbose, empty Output object.
Output.OutputExitException - Exception in ec.util
 
Output.OutputExitException(String) - Constructor for exception ec.util.Output.OutputExitException
 
OutputException - Exception in ec.util
Thrown whenever a problem occurs when attempting to output to a Log.
OutputException(String) - Constructor for exception ec.util.OutputException
 
owner - Variable in class ec.gp.GPTree
the owner of the GPTree
ownId - Variable in class ec.exchange.IslandExchange
the id of the current island

P

p_add - Variable in class ec.rule.RuleSetConstraints
 
P_ADD_PROB - Static variable in class ec.rule.RuleSetConstraints
 
P_ADF - Static variable in class ec.gp.ADF
 
P_ADF - Static variable in class ec.gp.ADFStack
 
P_ADFARGUMENT - Static variable in class ec.gp.ADFArgument
 
P_ADFCONTEXT - Static variable in class ec.gp.ADFContext
 
P_ADFSTACK - Static variable in class ec.gp.ADFStack
 
P_ARGUMENT - Static variable in class ec.gp.ADFArgument
 
P_ASSOCIATEDTREE - Static variable in class ec.gp.ADF
 
P_ATOMIC - Static variable in class ec.gp.GPInitializer
 
P_BEST - Static variable in class ec.select.BestSelection
Default base
P_BITVECTORINDIVIDUAL - Static variable in class ec.vector.BitVectorIndividual
 
P_BOLTZMANN - Static variable in class ec.select.BoltzmannSelection
Default base
P_BREED - Static variable in class ec.breed.BreedDefaults
 
P_BREED - Static variable in class ec.gp.breed.GPBreedDefaults
 
P_BREEDER - Static variable in class ec.EvolutionState
 
P_BREEDTHREADS - Static variable in class ec.Evolve
breedthreads parameter
P_BUCKETS - Static variable in class ec.parsimony.BucketTournamentSelection
The number of buckets
P_BUFFERED - Static variable in class ec.breed.BufferedBreedingPipeline
 
P_BUFSIZE - Static variable in class ec.breed.BufferedBreedingPipeline
 
P_BUILD - Static variable in class ec.gp.build.GPBuildDefaults
 
P_BUILDER - Static variable in class ec.gp.koza.MutationPipeline
 
P_BYTEVECTORINDIVIDUAL - Static variable in class ec.vector.ByteVectorIndividual
 
P_CHATTY - Static variable in class ec.exchange.InterPopulationExchange
Whether or not we're chatty
P_CHATTY - Static variable in class ec.exchange.IslandExchange
Whether or not we're chatty
P_CHECK - Static variable in class ec.breed.CheckingPipeline
 
P_CHECKPOINT - Static variable in class ec.EvolutionState
 
P_CHECKPOINTDIRECTORY - Static variable in class ec.EvolutionState
 
P_CHECKPOINTMODULO - Static variable in class ec.EvolutionState
 
P_CHECKPOINTPREFIX - Static variable in class ec.EvolutionState
 
P_CHILD - Static variable in class ec.gp.GPNodeConstraints
 
P_CHILD - Static variable in class ec.Statistics
 
P_CHUNK_SIZE - Static variable in class ec.simple.SimpleEvaluator
 
P_CHUNKSIZE - Static variable in class ec.vector.VectorSpecies
 
P_CLIENT_PORT - Static variable in class ec.exchange.IslandExchange
The client port
P_CLONE_PIPELINE_AND_POPULATION - Static variable in class ec.simple.SimpleBreeder
 
P_CLONE_PROBLEM - Static variable in class ec.simple.SimpleEvaluator
 
P_COMPETE_STYLE - Static variable in class ec.coevolve.CompetitiveEvaluator
 
P_COMPRESS - Static variable in class ec.simple.SimpleShortStatistics
 
P_COMPRESS - Static variable in class ec.simple.SimpleStatistics
compress?
P_COMPRESSED_COMMUNICATION - Static variable in class ec.exchange.IslandExchange
Whether the communication is compressed or not
P_CONSTRAINTS - Static variable in class ec.rule.Rule
 
P_CONSTRAINTS - Static variable in class ec.rule.RuleSet
The constraint for the rule set
P_CONTEXT - Static variable in class ec.gp.ADFStack
 
P_COOLING_RATE - Static variable in class ec.select.BoltzmannSelection
Cooling rate parameter
P_Cr - Static variable in class ec.de.DEBreeder
 
P_CROSSOVER - Static variable in class ec.gp.koza.CrossoverPipeline
 
P_CROSSOVER - Static variable in class ec.rule.breed.RuleCrossoverPipeline
 
P_CROSSOVER - Static variable in class ec.vector.breed.MultipleVectorCrossoverPipeline
default base
P_CROSSOVER - Static variable in class ec.vector.breed.VectorCrossoverPipeline
 
P_CROSSOVER_DISTRIBUTION_INDEX - Static variable in class ec.vector.VectorSpecies
 
P_CROSSOVERPROB - Static variable in class ec.rule.breed.RuleCrossoverPipeline
 
P_CROSSOVERPROB - Static variable in class ec.vector.VectorSpecies
 
P_CROSSOVERTYPE - Static variable in class ec.vector.VectorSpecies
 
P_DATA - Static variable in class ec.gp.GPProblem
 
p_database - Variable in class ec.eval.MetaProblem
A prototypical parameter database for the underlying (base-level) evolutionary computation system.
P_DEBUG_INFO - Static variable in class ec.eval.MasterProblem
 
P_DEFAULT_SUBPOP - Static variable in class ec.Population
 
p_del - Variable in class ec.rule.RuleSetConstraints
 
P_DEL_PROB - Static variable in class ec.rule.RuleSetConstraints
 
P_DESELECTOR - Static variable in class ec.steadystate.SteadyStateBreeder
 
P_DEST - Static variable in class ec.exchange.InterPopulationExchange
The prefix for destinations
P_DEST_FOR_SUBPOP - Static variable in class ec.exchange.InterPopulationExchange
The number of destinations from current island
P_DO_DEPTH - Static variable in class ec.gp.koza.KozaShortStatistics
 
P_DO_DESCRIPTION - Static variable in class ec.simple.SimpleStatistics
 
P_DO_FINAL - Static variable in class ec.simple.SimpleStatistics
 
P_DO_GENERATION - Static variable in class ec.simple.SimpleStatistics
 
P_DO_MESSAGE - Static variable in class ec.simple.SimpleStatistics
 
P_DO_PER_GENERATION_DESCRIPTION - Static variable in class ec.simple.SimpleStatistics
 
P_DO_SIZE - Static variable in class ec.simple.SimpleShortStatistics
 
P_DO_SUBPOPS - Static variable in class ec.simple.SimpleShortStatistics
 
P_DO_TIME - Static variable in class ec.simple.SimpleShortStatistics
 
P_DOLENGTHFIRST - Static variable in class ec.parsimony.DoubleTournamentSelection
 
P_DOUBLEVECTORINDIVIDUAL - Static variable in class ec.vector.DoubleVectorIndividual
 
P_DUPLICATE_RETRIES - Static variable in class ec.vector.VectorSpecies
 
P_DUPLICATION - Static variable in class ec.vector.breed.GeneDuplicationPipeline
 
P_EC - Static variable in class ec.ECDefaults
 
P_ELITE - Static variable in class ec.simple.SimpleBreeder
 
P_ELITE_FRAC - Static variable in class ec.simple.SimpleBreeder
 
P_EQUALSIZE - Static variable in class ec.gp.koza.MutationPipeline
 
P_ES - Static variable in class ec.es.ESDefaults
 
P_ESSELECT - Static variable in class ec.es.ESSelection
 
P_EVALCOMPRESSION - Static variable in class ec.eval.Slave
 
P_EVALCOMPRESSION - Static variable in class ec.eval.SlaveMonitor
 
P_EVALMASTERHOST - Static variable in class ec.eval.Slave
 
P_EVALMASTERPORT - Static variable in class ec.eval.Slave
 
P_EVALMASTERPORT - Static variable in class ec.eval.SlaveMonitor
 
P_EVALSLAVENAME - Static variable in class ec.eval.Slave
 
P_EVALTHREADS - Static variable in class ec.Evolve
evalthreads parameter
P_EVALUATIONS - Static variable in class ec.EvolutionState
 
P_EVALUATOR - Static variable in class ec.EvolutionState
 
P_EXCHANGER - Static variable in class ec.EvolutionState
 
P_EXPECTED - Static variable in class ec.gp.build.PTC1
 
P_EXTRA_BEHAVIOR - Static variable in class ec.Subpopulation
 
P_F - Static variable in class ec.de.DEBreeder
 
P_FILE - Static variable in class ec.eval.MetaProblem
 
P_FILE - Static variable in class ec.gp.ge.GESpecies
 
P_FILE - Static variable in class ec.Population
 
P_FILE - Static variable in class ec.Subpopulation
 
P_FINISHER - Static variable in class ec.EvolutionState
 
P_FIRST - Static variable in class ec.select.FirstSelection
default base
P_FITNESS - Static variable in class ec.Fitness
base parameter for defaults
P_FITNESS - Static variable in class ec.Species
 
P_FITNESSPROPORTIONATE - Static variable in class ec.select.FitProportionateSelection
Default base
P_FLOAT - Static variable in class ec.gp.push.Terminal
 
P_FloatVectorIndividual - Static variable in class ec.vector.FloatVectorIndividual
 
P_FNOISE - Static variable in class ec.de.Best1BinDEBreeder
 
P_FORCE - Static variable in class ec.breed.ForceBreedingPipeline
 
P_FULL - Static variable in class ec.simple.SimpleShortStatistics
 
P_FULLBUILDER - Static variable in class ec.gp.koza.FullBuilder
 
P_FUNC - Static variable in class ec.gp.GPFunctionSet
 
P_FUNC - Static variable in class ec.gp.push.Terminal
 
P_FUNCTIONNAME - Static variable in class ec.gp.ADF
 
P_FUNCTIONNAME - Static variable in class ec.gp.ADFArgument
 
P_FUNCTIONSET - Static variable in class ec.gp.GPTreeConstraints
 
P_FUNCTIONSETS - Static variable in class ec.gp.GPInitializer
 
P_GE - Static variable in class ec.gp.ge.GEDefaults
 
P_GEN_MAX - Static variable in class ec.breed.GenerationSwitchPipeline
 
P_GEN_MAX - Static variable in class ec.breed.MultiBreedingPipeline
 
P_GEN_MAX - Static variable in class ec.breed.UniquePipeline
 
P_GENE - Static variable in class ec.vector.Gene
 
P_GENE - Static variable in class ec.vector.GeneVectorSpecies
 
P_GENERATIONS - Static variable in class ec.EvolutionState
 
P_GENEVECTORINDIVIDUAL - Static variable in class ec.vector.GeneVectorIndividual
 
P_GENOMESIZE - Static variable in class ec.vector.VectorSpecies
 
P_GEOMETRIC_PROBABILITY - Static variable in class ec.vector.VectorSpecies
 
P_GESPECIES - Static variable in class ec.gp.ge.GESpecies
 
P_GETS - Static variable in class ec.select.GreedyOverselection
 
P_GLOBAL_COEFFICIENT - Static variable in class ec.pso.PSOBreeder
 
P_GP - Static variable in class ec.gp.GPDefaults
 
P_GPDATA - Static variable in class ec.gp.GPData
 
P_GPPROBLEM - Static variable in class ec.gp.GPProblem
 
P_GPSPECIES - Static variable in class ec.gp.ge.GESpecies
 
P_GPSPECIES - Static variable in class ec.gp.GPSpecies
 
P_GREEDY - Static variable in class ec.select.GreedyOverselection
 
P_GROUP_SIZE - Static variable in class ec.coevolve.CompetitiveEvaluator
 
P_GROWBUILDER - Static variable in class ec.gp.koza.GrowBuilder
 
P_HALFBUILDER - Static variable in class ec.gp.koza.HalfBuilder
 
P_HOMOLOGOUS - Static variable in class ec.gp.breed.SizeFairCrossoverPipeline
 
P_IAMSLAVE - Static variable in class ec.Evaluator
 
P_INCLUDE_SELF - Static variable in class ec.pso.PSOBreeder
 
P_IND_COMPETES - Static variable in class ec.spatial.SpatialTournamentSelection
Some models assume an individual is always selected to compete for breeding a child that would take its location in space.
P_INDIVIDUAL - Static variable in class ec.Individual
A reasonable parameter base element for individuals
P_INDIVIDUAL - Static variable in class ec.Species
 
P_INFORMANT_COEFFICIENT - Static variable in class ec.pso.PSOBreeder
 
P_INIT - Static variable in class ec.breed.InitializationPipeline
 
P_INIT - Static variable in class ec.gp.GPTreeConstraints
 
P_INITIALIZER - Static variable in class ec.EvolutionState
 
P_INITSCHEME - Static variable in class ec.gp.ge.GESpecies
 
P_INSTRUCTION - Static variable in class ec.gp.push.PushInstruction
 
P_INSTRUCTION - Static variable in class ec.gp.push.Terminal
 
P_INTEGER - Static variable in class ec.gp.push.Terminal
 
P_INTEGERVECTORINDIVIDUAL - Static variable in class ec.vector.IntegerVectorIndividual
 
P_INTERNALCROSSOVER - Static variable in class ec.gp.breed.InternalCrossoverPipeline
 
P_IS_SERVER - Static variable in class ec.exchange.IslandExchange
Whether the server is also on this island
P_JOB_SIZE - Static variable in class ec.eval.MasterProblem
 
P_KILL_PROPORTION - Static variable in class ec.parsimony.TarpeianStatistics
one in n individuals are killed
P_KOZA - Static variable in class ec.gp.koza.GPKozaDefaults
 
P_KOZAFITNESS - Static variable in class ec.gp.koza.KozaFitness
 
P_LAMBDA - Static variable in class ec.es.MuCommaLambdaBreeder
 
P_LIKELIHOOD - Static variable in class ec.BreedingPipeline
Indicates the probability that the Breeding Pipeline will perform its mutative action instead of just doing reproduction.
P_LINEDISTANCE - Static variable in class ec.vector.VectorSpecies
 
P_LIST_CROSSOVER - Static variable in class ec.vector.breed.ListCrossoverPipeline
 
P_LONGVECTORINDIVIDUAL - Static variable in class ec.vector.LongVectorIndividual
 
P_MASTERPROBLEM - Static variable in class ec.Evaluator
 
P_MAX - Static variable in class ec.gp.push.Terminal
 
P_MAX_CROSSOVER_PERCENT - Static variable in class ec.vector.breed.ListCrossoverPipeline
 
P_MAXDEPTH - Static variable in class ec.gp.breed.InternalCrossoverPipeline
 
P_MAXDEPTH - Static variable in class ec.gp.breed.MutateDemotePipeline
 
P_MAXDEPTH - Static variable in class ec.gp.breed.SizeFairCrossoverPipeline
 
P_MAXDEPTH - Static variable in class ec.gp.build.PTC1
 
P_MAXDEPTH - Static variable in class ec.gp.build.PTC2
 
P_MAXDEPTH - Static variable in class ec.gp.koza.CrossoverPipeline
 
P_MAXDEPTH - Static variable in class ec.gp.koza.KozaBuilder
 
P_MAXDEPTH - Static variable in class ec.gp.koza.MutationPipeline
 
P_MAXGENE - Static variable in class ec.vector.FloatVectorSpecies
 
P_MAXGENE - Static variable in class ec.vector.IntegerVectorSpecies
 
P_MAXIMIZE - Static variable in class ec.multiobjective.MultiObjectiveFitness
Is higher better?
P_MAXIMUMNUMBEROFCONCURRENTJOBSPERSLAVE - Static variable in class ec.eval.SlaveMonitor
 
P_MAXOBJECTIVES - Static variable in class ec.multiobjective.MultiObjectiveFitness
parameter for max fitness values
P_MAXSIZE - Static variable in class ec.gp.GPNodeBuilder
 
P_MAXSIZE - Static variable in class ec.gp.koza.CrossoverPipeline
 
P_MAXSIZE - Static variable in class ec.gp.koza.MutationPipeline
 
P_MAXSIZE - Static variable in class ec.rule.RuleSetConstraints
 
P_MEMBER - Static variable in class ec.gp.GPSetType
 
P_MERGE - Static variable in class ec.simple.SimpleEvaluator
 
P_MIN - Static variable in class ec.gp.push.Terminal
 
P_MIN_CHILD_SIZE - Static variable in class ec.vector.breed.ListCrossoverPipeline
 
P_MIN_CROSSOVER_PERCENT - Static variable in class ec.vector.breed.ListCrossoverPipeline
 
P_MINDEPTH - Static variable in class ec.gp.koza.KozaBuilder
 
P_MINGENE - Static variable in class ec.vector.FloatVectorSpecies
 
P_MINGENE - Static variable in class ec.vector.IntegerVectorSpecies
 
P_MINIMUM_SIZE - Static variable in class ec.simple.SimpleBreeder
 
P_MINOBJECTIVES - Static variable in class ec.multiobjective.MultiObjectiveFitness
parameter for min fitness values
P_MINSIZE - Static variable in class ec.gp.GPNodeBuilder
 
P_MINSIZE - Static variable in class ec.rule.RuleSetConstraints
 
P_MODULO - Static variable in class ec.exchange.InterPopulationExchange
The parameter for the modulo (how many generations should pass between consecutive sendings of individuals
P_MU - Static variable in class ec.es.MuCommaLambdaBreeder
 
P_MU_FRACTION - Static variable in class ec.es.MuCommaLambdaBreeder
 
P_MULTI - Static variable in class ec.multiobjective.MultiObjectiveDefaults
 
P_MULTIBREED - Static variable in class ec.breed.GenerationSwitchPipeline
 
P_MULTIBREED - Static variable in class ec.breed.MultiBreedingPipeline
 
P_MULTISELECT - Static variable in class ec.select.MultiSelection
 
P_MUSTCLONE - Static variable in class ec.breed.ReproductionPipeline
 
P_MUTATEALLNODES - Static variable in class ec.gp.breed.MutateAllNodesPipeline
 
P_MUTATEDEMOTE - Static variable in class ec.gp.breed.MutateDemotePipeline
 
P_MUTATEERC - Static variable in class ec.gp.breed.MutateERCPipeline
 
P_MUTATEONENODE - Static variable in class ec.gp.breed.MutateOneNodePipeline
 
P_MUTATEPROMOTE - Static variable in class ec.gp.breed.MutatePromotePipeline
 
P_MUTATESWAP - Static variable in class ec.gp.breed.MutateSwapPipeline
 
P_MUTATION - Static variable in class ec.gp.koza.MutationPipeline
 
P_MUTATION - Static variable in class ec.rule.breed.RuleMutationPipeline
 
P_MUTATION - Static variable in class ec.vector.breed.VectorMutationPipeline
 
P_MUTATION_BOUNDED - Static variable in class ec.vector.FloatVectorSpecies
 
P_MUTATION_BOUNDED - Static variable in class ec.vector.IntegerVectorSpecies
 
P_MUTATION_DISTRIBUTION_INDEX - Static variable in class ec.vector.FloatVectorSpecies
 
P_MUTATIONPROB - Static variable in class ec.vector.VectorSpecies
 
P_MUTATIONTYPE - Static variable in class ec.vector.BitVectorSpecies
 
P_MUTATIONTYPE - Static variable in class ec.vector.FloatVectorSpecies
 
P_MUTATIONTYPE - Static variable in class ec.vector.IntegerVectorSpecies
 
P_MUZZLE - Static variable in class ec.eval.MetaProblem
 
P_MUZZLE - Static variable in class ec.eval.Slave
 
P_MUZZLE - Static variable in class ec.Statistics
 
P_N - Static variable in class ec.select.BestSelection
 
P_N_FRACTION - Static variable in class ec.select.BestSelection
 
P_N_SIZE - Static variable in class ec.spatial.SpatialTournamentSelection
The size of the neighborhood from where parents are selected.
P_NAME - Static variable in class ec.gp.GPFunctionSet
 
P_NAME - Static variable in class ec.gp.GPNodeConstraints
 
P_NAME - Static variable in class ec.gp.GPTreeConstraints
 
P_NAME - Static variable in class ec.gp.GPType
 
P_NAME - Static variable in class ec.rule.RuleConstraints
 
P_NAME - Static variable in class ec.rule.RuleSetConstraints
The size of a byte
P_NEIGHBORHOOD - Static variable in class ec.pso.PSOBreeder
 
P_NEIGHBORHOOD_SIZE - Static variable in class ec.pso.PSOBreeder
 
P_NODE - Static variable in class ec.gp.GPNode
 
P_NODECONSTRAINTS - Static variable in class ec.gp.GPInitializer
 
P_NODECONSTRAINTS - Static variable in class ec.gp.GPNode
 
P_NODESELECTOR - Static variable in class ec.gp.GPBreedingPipeline
Standard parameter for node-selectors associated with a GPBreedingPipeline
P_NODESELECTOR - Static variable in class ec.gp.koza.KozaNodeSelector
 
P_NONTERMINAL_PROBABILITY - Static variable in class ec.gp.koza.KozaNodeSelector
 
P_NUM_ELITE - Static variable in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
P_NUM_IND - Static variable in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
P_NUM_INSTRUCTIONS - Static variable in class ec.gp.push.Terminal
 
P_NUM_PARAMS - Static variable in class ec.eval.MetaProblem
 
P_NUM_RAND_IND - Static variable in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
P_NUM_SEGMENTS - Static variable in class ec.vector.IntegerVectorSpecies
 
P_NUM_SEGMENTS - Static variable in class ec.vector.VectorSpecies
 
P_NUM_SHUFFLED - Static variable in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
P_NUM_TESTS - Static variable in class ec.simple.SimpleEvaluator
 
P_NUM_TRIES - Static variable in class ec.gp.breed.InternalCrossoverPipeline
 
P_NUM_TRIES - Static variable in class ec.gp.breed.MutateDemotePipeline
 
P_NUM_TRIES - Static variable in class ec.gp.breed.MutatePromotePipeline
 
P_NUM_TRIES - Static variable in class ec.gp.breed.MutateSwapPipeline
 
P_NUM_TRIES - Static variable in class ec.gp.breed.RehangPipeline
 
P_NUM_TRIES - Static variable in class ec.gp.breed.SizeFairCrossoverPipeline
 
P_NUM_TRIES - Static variable in class ec.gp.koza.CrossoverPipeline
 
P_NUM_TRIES - Static variable in class ec.gp.koza.MutationPipeline
 
P_NUM_TRIES - Static variable in class ec.vector.breed.ListCrossoverPipeline
 
P_NUM_VALS - Static variable in class ec.eval.MetaProblem
 
P_NUMCHILDREN - Static variable in class ec.Statistics
 
P_NUMINDS - Static variable in class ec.breed.ForceBreedingPipeline
 
P_NUMOBJECTIVES - Static variable in class ec.multiobjective.MultiObjectiveFitness
parameter for size of objectives
P_NUMRULESETS - Static variable in class ec.rule.RuleIndividual
 
P_NUMSELECTS - Static variable in class ec.select.MultiSelection
 
P_NUMSIZES - Static variable in class ec.gp.GPNodeBuilder
 
P_NUMSIZES - Static variable in class ec.rule.RuleSetConstraints
 
P_NUMSOURCES - Static variable in class ec.BreedingPipeline
Standard parameter for number of sources (only used if numSources returns DYNAMIC_SOURCES
P_NUMTIMES - Static variable in class ec.breed.CheckingPipeline
 
P_NUMTREES - Static variable in class ec.gp.GPIndividual
 
P_OFFSET - Static variable in class ec.exchange.InterPopulationExchange
How many generations to pass at the beginning of the evolution before the first emigration from the current subpopulation
P_ONESHOT - Static variable in class ec.eval.Slave
Should slave go into an infinite loop looking for new masters after the master has quit, or not?
P_OUT_OF_BOUNDS_RETRIES - Static variable in class ec.de.DEBreeder
 
P_OUTOFBOUNDS_RETRIES - Static variable in class ec.vector.FloatVectorSpecies
 
P_OVER_EVAL - Static variable in class ec.coevolve.CompetitiveEvaluator
 
P_OWN_ID - Static variable in class ec.exchange.IslandExchange
The id of the island
P_PARAM - Static variable in class ec.eval.MetaProblem
 
P_PARETO_FRONT_FILE - Static variable in class ec.multiobjective.MultiObjectiveStatistics
front file parameter
P_PARSER - Static variable in class ec.gp.ge.GESpecies
 
P_PARSER - Static variable in class ec.gp.ge.GrammarParser
 
P_PASSES - Static variable in class ec.gp.ge.GESpecies
 
P_PERSONAL_COEFFICIENT - Static variable in class ec.pso.PSOBreeder
 
P_PF - Static variable in class ec.de.Rand1EitherOrDEBreeder
 
P_PICKGROWPROBABILITY - Static variable in class ec.gp.koza.HalfBuilder
 
P_PICKWORST - Static variable in class ec.parsimony.BucketTournamentSelection
If the worst individual should be picked in the tournament
P_PICKWORST - Static variable in class ec.parsimony.DoubleTournamentSelection
 
P_PICKWORST - Static variable in class ec.parsimony.RatioBucketTournamentSelection
if the worst individual should be picked in the tournament
P_PICKWORST - Static variable in class ec.select.BestSelection
 
P_PICKWORST - Static variable in class ec.select.TournamentSelection
 
P_PICKWORST2 - Static variable in class ec.parsimony.DoubleTournamentSelection
 
P_PIPE - Static variable in class ec.Species
 
P_POLYNOMIAL_ALTERNATIVE - Static variable in class ec.vector.FloatVectorSpecies
 
P_POP - Static variable in class ec.Initializer
parameter for a new population
P_PRINT_STYLE - Static variable in class ec.gp.GPTree
 
P_PRINTACCESSEDPARAMETERS - Static variable in class ec.Evolve
 
P_PRINTALLPARAMETERS - Static variable in class ec.Evolve
 
P_PRINTUNACCESSEDPARAMETERS - Static variable in class ec.Evolve
 
P_PRINTUNUSEDPARAMETERS - Static variable in class ec.Evolve
 
P_PRINTUSEDPARAMETERS - Static variable in class ec.Evolve
 
P_PROB - Static variable in class ec.BreedingSource
 
P_PROBABILITY - Static variable in class ec.gp.GPNodeConstraints
 
P_PROBABILITY - Static variable in class ec.parsimony.ProportionalTournamentSelection
The parameter for the probability of having the tournament based on fitness
P_PROBLEM - Static variable in class ec.Evaluator
 
p_problem - Variable in class ec.Evaluator
 
P_PROBLEM - Static variable in class ec.gp.ge.GEProblem
 
P_PROBLEM - Static variable in class ec.Problem
 
P_PROPORTIONAL_TOURNAMENT - Static variable in class ec.parsimony.ProportionalTournamentSelection
default base
P_PTC1 - Static variable in class ec.gp.build.PTC1
 
P_PTC2 - Static variable in class ec.gp.build.PTC2
 
P_PUSH - Static variable in class ec.gp.push.PushDefaults
 
P_PUSHBUILDER - Static variable in class ec.gp.push.PushBuilder
 
P_QUITONRUNCOMPLETE - Static variable in class ec.EvolutionState
 
P_RAND_ORDER_PROB - Static variable in class ec.rule.RuleSetConstraints
 
P_RANDOM - Static variable in class ec.select.RandomSelection
default base
P_RANDOM_WALK_PROBABILITY - Static variable in class ec.vector.FloatVectorSpecies
 
P_RANDOM_WALK_PROBABILITY - Static variable in class ec.vector.IntegerVectorSpecies
 
P_RANDOMBRANCH - Static variable in class ec.gp.build.RandomBranch
 
P_RANDOMBRANCH - Static variable in class ec.gp.build.RandTree
 
p_randorder - Variable in class ec.rule.RuleSetConstraints
 
P_RATIO - Static variable in class ec.parsimony.RatioBucketTournamentSelection
The value of RATIO: each step, the worse 1/RATIO individuals are assigned the same fitness
P_RATIO_BUCKET_TOURNAMENT - Static variable in class ec.parsimony.RatioBucketTournamentSelection
default base
P_REDUCE_BY - Static variable in class ec.simple.SimpleBreeder
 
P_REEVALUATE_ELITES - Static variable in class ec.simple.SimpleBreeder
 
P_REEVALUATE_INDIVIDUALS - Static variable in class ec.eval.MetaProblem
 
P_REHANG - Static variable in class ec.gp.breed.RehangPipeline
 
P_REPLACEMENT_PROBABILITY - Static variable in class ec.steadystate.SteadyStateEvolutionState
 
P_REPRODUCE - Static variable in class ec.breed.ReproductionPipeline
 
P_RESCHEDULELOSTJOBS - Static variable in class ec.eval.SlaveMonitor
 
P_RESETMAXSIZE - Static variable in class ec.rule.RuleSetConstraints
 
P_RESETMINSIZE - Static variable in class ec.rule.RuleSetConstraints
 
P_RESETSIZE - Static variable in class ec.rule.RuleSetConstraints
 
P_RESTART_TYPE - Static variable in class ec.evolve.RandomRestarts
 
P_RESTART_UPPERBOUND - Static variable in class ec.evolve.RandomRestarts
 
P_RETRIES - Static variable in class ec.breed.UniquePipeline
 
P_RETRIES - Static variable in class ec.Subpopulation
 
P_RETURNINDIVIDUALS - Static variable in class ec.eval.Slave
 
P_RETURNS - Static variable in class ec.gp.GPNodeConstraints
 
P_RETURNS - Static variable in class ec.gp.GPTreeConstraints
 
P_ROOT_PROBABILITY - Static variable in class ec.gp.koza.KozaNodeSelector
 
P_RULE - Static variable in class ec.rule.Rule
 
P_RULE - Static variable in class ec.rule.RuleDefaults
 
P_RULE - Static variable in class ec.rule.RuleSetConstraints
num rulesets
P_RULECONSTRAINTS - Static variable in class ec.rule.RuleInitializer
 
P_RULESET - Static variable in class ec.rule.RuleIndividual
 
P_RULESET - Static variable in class ec.rule.RuleSet
 
P_RULESETCONSTRAINTS - Static variable in class ec.rule.RuleInitializer
 
P_RULESPECIES - Static variable in class ec.rule.RuleSpecies
 
P_RUNEVOLVE - Static variable in class ec.eval.Slave
Should slave run its own evolutionary process?
P_RUNS - Static variable in class ec.eval.MetaProblem
 
P_RUNTIME - Static variable in class ec.eval.Slave
Time to run evolution on the slaves in seconds
P_SCALED_FITNESS_FLOOR - Static variable in class ec.select.SigmaScalingSelection
Scaled fitness floor
P_SEED - Static variable in class ec.Evolve
seed parameter
P_SEGMENT - Static variable in class ec.vector.IntegerVectorSpecies
 
P_SEGMENT - Static variable in class ec.vector.VectorSpecies
 
P_SEGMENT_END - Static variable in class ec.vector.IntegerVectorSpecies
 
P_SEGMENT_END - Static variable in class ec.vector.VectorSpecies
 
P_SEGMENT_START - Static variable in class ec.vector.IntegerVectorSpecies
 
P_SEGMENT_START - Static variable in class ec.vector.VectorSpecies
 
P_SEGMENT_TYPE - Static variable in class ec.vector.IntegerVectorSpecies
 
P_SEGMENT_TYPE - Static variable in class ec.vector.VectorSpecies
 
P_SELECT - Static variable in class ec.select.MultiSelection
 
P_SELECT - Static variable in class ec.select.SelectDefaults
 
P_SELECT_METHOD - Static variable in class ec.exchange.InterPopulationExchange
The selection method for sending individuals to other islands
P_SELECT_METHOD - Static variable in class ec.exchange.IslandExchange
The selection method for sending individuals to other islands
P_SELECT_TO_DIE_METHOD - Static variable in class ec.exchange.InterPopulationExchange
The selection method for deciding individuals to be replaced by immigrants
P_SELECT_TO_DIE_METHOD - Static variable in class ec.exchange.IslandExchange
The selection method for deciding individuals to be replaced by immigrants
P_SELECTION_METHOD_CURRENT - Static variable in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
P_SELECTION_METHOD_PREV - Static variable in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
P_SEQUENTIAL_BREEDING - Static variable in class ec.simple.SimpleBreeder
 
P_SERVER_ADDRESS - Static variable in class ec.exchange.IslandExchange
The server address
P_SERVER_PORT - Static variable in class ec.exchange.IslandExchange
The server port
P_SET - Static variable in class ec.gp.GPInitializer
 
P_SET_RANDOM - Static variable in class ec.eval.MetaProblem
 
P_SHORTVECTORINDIVIDUAL - Static variable in class ec.vector.ShortVectorIndividual
 
P_SHUFFLE - Static variable in class ec.select.SUSSelection
 
P_SIGMA_SCALING - Static variable in class ec.select.SigmaScalingSelection
Default base
P_SILENT - Static variable in class ec.eval.Slave
 
P_SILENT - Static variable in class ec.Evolve
Should we muzzle stdout and stderr?
P_SILENT - Static variable in class ec.Statistics
 
P_SILENT_FILE - Static variable in class ec.Statistics
 
P_SILENT_FRONT_FILE - Static variable in class ec.multiobjective.MultiObjectiveStatistics
 
P_SILENT_PRINT - Static variable in class ec.Statistics
 
P_SIMPLE - Static variable in class ec.simple.SimpleDefaults
 
P_SIZE - Static variable in class ec.exchange.InterPopulationExchange
The number of emigrants to be sent
P_SIZE - Static variable in class ec.gp.GPFunctionSet
 
P_SIZE - Static variable in class ec.gp.GPInitializer
 
P_SIZE - Static variable in class ec.gp.GPNodeBuilder
 
P_SIZE - Static variable in class ec.gp.GPNodeConstraints
 
P_SIZE - Static variable in class ec.gp.GPSetType
 
P_SIZE - Static variable in class ec.gp.GPTreeConstraints
 
P_SIZE - Static variable in class ec.parsimony.BucketTournamentSelection
Tournament size parameter
P_SIZE - Static variable in class ec.parsimony.DoubleTournamentSelection
size parameter
P_SIZE - Static variable in class ec.parsimony.RatioBucketTournamentSelection
size parameter
P_SIZE - Static variable in class ec.Population
 
P_SIZE - Static variable in class ec.rule.RuleInitializer
 
P_SIZE - Static variable in class ec.select.BestSelection
 
P_SIZE - Static variable in class ec.select.TournamentSelection
size parameter
P_SIZE2 - Static variable in class ec.parsimony.DoubleTournamentSelection
 
P_SIZEFAIR - Static variable in class ec.gp.breed.SizeFairCrossoverPipeline
 
P_SOURCE - Static variable in class ec.BreedingPipeline
Standard parameter for individual-selectors associated with a BreedingPipeline
P_SPATIAL - Static variable in class ec.spatial.SpatialDefaults
 
P_SPECIES - Static variable in class ec.Subpopulation
 
P_STACK - Static variable in class ec.gp.GPProblem
 
P_START - Static variable in class ec.evolve.RandomRestarts
 
P_STARTING_TEMPERATURE - Static variable in class ec.select.BoltzmannSelection
Starting temperature parameter
P_STATE - Static variable in class ec.Evolve
state parameter
P_STATISTICS - Static variable in class ec.EvolutionState
 
P_STATISTICS_FILE - Static variable in class ec.simple.SimpleShortStatistics
 
P_STATISTICS_FILE - Static variable in class ec.simple.SimpleStatistics
log file parameter
P_STATISTICS_MODULUS - Static variable in class ec.simple.SimpleShortStatistics
 
P_STDEV - Static variable in class ec.vector.FloatVectorSpecies
 
P_STEADYSTATE - Static variable in class ec.steadystate.SteadyStateDefaults
 
P_SUBPOP - Static variable in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
P_SUBPOP - Static variable in class ec.exchange.InterPopulationExchange
The subpopulation delimiter
P_SUBPOP - Static variable in class ec.Population
 
P_SUBPOPSIZE - Static variable in class ec.Subpopulation
 
P_SUBPOPULATION - Static variable in class ec.Subpopulation
 
P_SUS - Static variable in class ec.select.SUSSelection
Default base
P_SWITCHAT - Static variable in class ec.breed.GenerationSwitchPipeline
 
P_TERMINAL_PROBABILITY - Static variable in class ec.gp.koza.KozaNodeSelector
 
P_TITLE - Static variable in class ec.display.chart.ChartableStatistics
 
P_TOP - Static variable in class ec.select.GreedyOverselection
 
P_TOROIDAL - Static variable in class ec.spatial.Spatial1DSubpopulation
This parameter stipulates whether the world is toroidal or not.
P_TOSS - Static variable in class ec.gp.breed.SizeFairCrossoverPipeline
 
P_TOSS - Static variable in class ec.gp.koza.CrossoverPipeline
 
P_TOSS - Static variable in class ec.rule.breed.RuleCrossoverPipeline
 
P_TOSS - Static variable in class ec.vector.breed.ListCrossoverPipeline
 
P_TOSS - Static variable in class ec.vector.breed.VectorCrossoverPipeline
 
P_TOURNAMENT - Static variable in class ec.parsimony.BucketTournamentSelection
Default base
P_TOURNAMENT - Static variable in class ec.parsimony.DoubleTournamentSelection
default base
P_TOURNAMENT - Static variable in class ec.parsimony.LexicographicTournamentSelection
default base
P_TOURNAMENT - Static variable in class ec.select.TournamentSelection
default base
P_TREE - Static variable in class ec.gp.GPBreedingPipeline
Standard parameter for tree fixing
P_TREE - Static variable in class ec.gp.GPIndividual
 
P_TREE - Static variable in class ec.gp.GPTree
 
P_TREECONSTRAINTS - Static variable in class ec.gp.GPInitializer
 
P_TREECONSTRAINTS - Static variable in class ec.gp.GPTree
 
P_TRUEDISTRIBUTION - Static variable in class ec.gp.build.Uniform
 
P_TYPE - Static variable in class ec.eval.MetaProblem
 
P_TYPE - Static variable in class ec.gp.GPInitializer
 
P_TYPE - Static variable in class ec.spatial.SpatialTournamentSelection
Selection procedure.
P_UNIFORM - Static variable in class ec.gp.build.Uniform
 
P_UNIFORM_MAX - Static variable in class ec.vector.VectorSpecies
 
P_UNIFORM_MIN - Static variable in class ec.vector.VectorSpecies
 
P_UNIQUE - Static variable in class ec.breed.UniquePipeline
 
P_USEC - Static variable in class ec.gp.GPTree
 
P_USEGRAPHVIZ - Static variable in class ec.gp.GPTree
 
P_USELATEX - Static variable in class ec.gp.GPTree
 
P_USEOPS - Static variable in class ec.gp.GPTree
 
P_USEVARS - Static variable in class ec.gp.GPTree
 
P_VAL - Static variable in class ec.eval.MetaProblem
 
P_VECTOR - Static variable in class ec.vector.VectorDefaults
 
P_VECTORSPECIES - Static variable in class ec.vector.VectorSpecies
 
P_VELOCITY_COEFFICIENT - Static variable in class ec.pso.PSOBreeder
 
P_XAXIS - Static variable in class ec.display.chart.ChartableStatistics
 
p_y - Variable in class ec.gp.build.PTCFunctionSet
cache of nonterminal selection probabilities -- dense array [size-1][type].
P_YAXIS - Static variable in class ec.display.chart.ChartableStatistics
 
param - Variable in class ec.util.Parameter
 
ParamClassLoadException - Exception in ec.util
This exception is thrown by the Parameter Database when it fails to locate and load a class specified by a given parameter as requested.
ParamClassLoadException(String) - Constructor for exception ec.util.ParamClassLoadException
 
Parameter - Class in ec.util
A Parameter is an object which the ParameterDatabase class uses as a key to associate with strings, forming a key-value pair.
Parameter(String[]) - Constructor for class ec.util.Parameter
Creates a new parameter by joining the path items in s into a single path.
Parameter(String) - Constructor for class ec.util.Parameter
Creates a new parameter from the single path item in s.
Parameter(String, String[]) - Constructor for class ec.util.Parameter
Creates a new parameter from the path item in s, plus the path items in s2.
ParameterDatabase - Class in ec.util
This extension of the Properties class allows you to set, get, and delete Parameters in a hierarchical tree-like database.
ParameterDatabase() - Constructor for class ec.util.ParameterDatabase
Creates an empty parameter database.
ParameterDatabase(Dictionary) - Constructor for class ec.util.ParameterDatabase
Creates a new parameter database from the given Dictionary.
ParameterDatabase(String, Class, String[]) - Constructor for class ec.util.ParameterDatabase
Creates a new parameter database from a given database file and argv list.
ParameterDatabase(String, Class) - Constructor for class ec.util.ParameterDatabase
Creates a new parameter database loaded from a parameter file located relative to a class file, wherever the class file may be (such as in a jar).
ParameterDatabase(InputStream) - Constructor for class ec.util.ParameterDatabase
Creates a new parameter database loaded from the given stream.
ParameterDatabase(File) - Constructor for class ec.util.ParameterDatabase
Creates a new parameter database tree from a given database file and its parent files.
ParameterDatabase(File, String[]) - Constructor for class ec.util.ParameterDatabase
Creates a new parameter database from a given database file and argv list.
ParameterDatabaseEvent - Class in ec.util
 
ParameterDatabaseEvent(Object, Parameter, String, int) - Constructor for class ec.util.ParameterDatabaseEvent
For ParameterDatabase events.
ParameterDatabaseTreeModel - Class in ec.util
 
ParameterDatabaseTreeModel(TreeNode) - Constructor for class ec.util.ParameterDatabaseTreeModel
 
ParameterDatabaseTreeModel(TreeNode, boolean) - Constructor for class ec.util.ParameterDatabaseTreeModel
 
parameters - Variable in class ec.EvolutionState
The parameter database (threadsafe).
ParametersPanel - Class in ec.display
 
ParametersPanel(Console) - Constructor for class ec.display.ParametersPanel
This is the default constructor
ParameterValue - Class in ec.display
 
ParameterValue(String) - Constructor for class ec.display.ParameterValue
 
parent - Variable in class ec.gp.GPNode
The GPNode's parent.
parentPopulation - Variable in class ec.es.MuCommaLambdaBreeder
 
parents - Variable in class ec.gp.breed.SizeFairCrossoverPipeline
Temporary holding place for parents
parents - Variable in class ec.gp.koza.CrossoverPipeline
Temporary holding place for parents
parents - Variable in class ec.vector.breed.ListCrossoverPipeline
 
parentType(GPInitializer) - Method in class ec.gp.GPNode
Returns the argument type of the slot that I fit into in my parent.
paretoDominates(MultiObjectiveFitness) - Method in class ec.multiobjective.MultiObjectiveFitness
Returns true if I'm better than _fitness.
parseGenotype(EvolutionState, LineNumberReader) - Method in class ec.gp.GPIndividual
 
parseGenotype(EvolutionState, LineNumberReader) - Method in class ec.Individual
This method is used only by the default version of readIndividual(state,reader), and it is intended to be overridden to parse in that part of the individual that was outputted in the genotypeToString() method.
parseGenotype(EvolutionState, LineNumberReader) - Method in class ec.rule.RuleIndividual
Overridden for the RuleIndividual genotype.
parseGenotype(EvolutionState, LineNumberReader) - Method in class ec.vector.BitVectorIndividual
 
parseGenotype(EvolutionState, LineNumberReader) - Method in class ec.vector.ByteVectorIndividual
 
parseGenotype(EvolutionState, LineNumberReader) - Method in class ec.vector.DoubleVectorIndividual
 
parseGenotype(EvolutionState, LineNumberReader) - Method in class ec.vector.FloatVectorIndividual
 
parseGenotype(EvolutionState, LineNumberReader) - Method in class ec.vector.GeneVectorIndividual
 
parseGenotype(EvolutionState, LineNumberReader) - Method in class ec.vector.IntegerVectorIndividual
 
parseGenotype(EvolutionState, LineNumberReader) - Method in class ec.vector.LongVectorIndividual
 
parseGenotype(EvolutionState, LineNumberReader) - Method in class ec.vector.ShortVectorIndividual
 
parser_prototype - Variable in class ec.gp.ge.GESpecies
The prototypical parser used to parse the grammars.
parseRules(EvolutionState, BufferedReader, GPFunctionSet) - Method in class ec.gp.ge.GrammarParser
Parses the rules from a grammar and returns the resulting GrammarRuleNode root.
parseSexp(ArrayList, GrammarParser) - Method in class ec.gp.ge.GESpecies
The LL(1) parsing algorithm to parse the lisp tree, the lisp tree is actually fed as a flattened list, the parsing code uses the "exact" (and as-is) procedure described in the dragon book.
Particle - Class in ec.pso
Particle is a DoubleVectorIndividual with additional statistical information necessary to perform Particle Swarm Optimization.
Particle() - Constructor for class ec.pso.Particle
 
partitionIntoParetoFront(Individual[], ArrayList, ArrayList) - Static method in class ec.multiobjective.MultiObjectiveFitness
Divides an array of Individuals into the Pareto front and the "nonFront" (everyone else).
partitionIntoRanks(Individual[]) - Static method in class ec.multiobjective.MultiObjectiveFitness
Divides inds into pareto front ranks (each an ArrayList), and returns them, in order, stored in an ArrayList.
passes - Variable in class ec.gp.ge.GESpecies
The number of passes permitted through the genome if we're wrapping.
pathLength(int) - Method in class ec.gp.GPNode
Returns the path length of the tree, which is the sum of all paths from all nodes to the root.
performCoevolutionaryEvaluation(EvolutionState, Population, GroupedProblemForm) - Method in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
personalBestFitness - Variable in class ec.pso.Particle
 
personalBestGenome - Variable in class ec.pso.Particle
 
personalCoeff - Variable in class ec.pso.PSOBreeder
 
PF - Variable in class ec.de.Rand1EitherOrDEBreeder
 
pickFromDistribution(float[], float) - Static method in class ec.util.RandomChoice
Picks a random item from an array of probabilities, normalized and summed as follows: For example, if four probabilities are {0.3, 0.2, 0.1, 0.4}, then they should get normalized and summed by the outside owners as: {0.3, 0.5, 0.6, 1.0}.
pickFromDistribution(float[], float, int) - Static method in class ec.util.RandomChoice
Deprecated. 
pickFromDistribution(double[], double) - Static method in class ec.util.RandomChoice
Picks a random item from an array of probabilities, normalized and summed as follows: For example, if four probabilities are {0.3, 0.2, 0.1, 0.4}, then they should get normalized and summed by the outside owners as: {0.3, 0.5, 0.6, 1.0}.
pickFromDistribution(double[], double, int) - Static method in class ec.util.RandomChoice
Deprecated. 
pickFromDistribution(Object[], RandomChoiceChooser, float) - Static method in class ec.util.RandomChoice
Picks a random item from an array of objects, each with an associated probability that is accessed by taking an object and passing it to chooser.getProbability(obj).
pickFromDistribution(Object[], RandomChoiceChooser, float, int) - Static method in class ec.util.RandomChoice
Deprecated. 
pickFromDistribution(Object[], RandomChoiceChooserD, double) - Static method in class ec.util.RandomChoice
Picks a random item from an array of objects, each with an associated probability that is accessed by taking an object and passing it to chooser.getProbability(obj).
pickFromDistribution(Object[], RandomChoiceChooserD, double, int) - Static method in class ec.util.RandomChoice
Deprecated. 
pickGrowProbability - Variable in class ec.gp.koza.HalfBuilder
The likelihood of using GROW over FULL.
pickNode(EvolutionState, int, int, GPIndividual, GPTree) - Method in interface ec.gp.GPNodeSelector
Picks a node at random from tree and returns it.
pickNode(EvolutionState, int, int, GPIndividual, GPTree) - Method in class ec.gp.koza.KozaNodeSelector
 
pickRandom(BreedingSource[], double) - Static method in class ec.BreedingSource
Picks a random source from an array of sources, with their probabilities normalized and summed as follows: For example, if four breeding source probabilities are {0.3, 0.2, 0.1, 0.4}, then they should get normalized and summed by the outside owners as: {0.3, 0.5, 0.6, 1.0}.
pickSize(EvolutionState, int, int, int) - Method in class ec.gp.build.Uniform
 
pickSize(EvolutionState, int) - Method in class ec.gp.GPNodeBuilder
Assuming that either minSize and maxSize, or sizeDistribution, is defined, picks a random size from minSize...maxSize inclusive, or randomly from sizeDistribution.
pickSize(EvolutionState, int) - Method in class ec.rule.RuleSetConstraints
Assuming that either resetMinSize and resetMaxSize, or sizeDistribution, is defined, picks a random size from resetMinSize...resetMaxSize inclusive, or randomly from sizeDistribution.
pickWorst - Variable in class ec.parsimony.BucketTournamentSelection
Do we pick the worst instead of the best?
pickWorst - Variable in class ec.parsimony.DoubleTournamentSelection
Do we pick the worst instead of the best?
pickWorst - Variable in class ec.parsimony.RatioBucketTournamentSelection
Do we pick the worst instead of the best?
pickWorst - Variable in class ec.select.BestSelection
Do we pick the worst instead of the best?
pickWorst - Variable in class ec.select.TournamentSelection
Do we pick the worst instead of the best?
pickWorst2 - Variable in class ec.parsimony.DoubleTournamentSelection
 
PIPE - Static variable in class ec.gp.ge.GrammarParser
 
pipe_prototype - Variable in class ec.Species
The prototypical breeding pipeline for this species.
polynomialIsAlternative - Variable in class ec.vector.FloatVectorSpecies
Whether the Polynomial Mutation method is the "alternative" method, per gene.
polynomialIsAlternative(int) - Method in class ec.vector.FloatVectorSpecies
 
polynomialMutate(EvolutionState, MersenneTwisterFast, double, boolean, boolean) - Method in class ec.vector.DoubleVectorIndividual
This function is broken out to keep it identical to NSGA-II's mutation.c code.
polynomialMutate(EvolutionState, MersenneTwisterFast, float, boolean, boolean) - Method in class ec.vector.FloatVectorIndividual
This function is broken out to keep it identical to NSGA-II's mutation.c code.
pool - Static variable in class ec.eval.Slave
 
pool - Variable in class ec.simple.SimpleBreeder
 
pool - Variable in class ec.simple.SimpleEvaluator
 
pop(int) - Method in class ec.gp.ADFStack
Pops off n items from the stack, if possible.
pop() - Method in class ec.util.Parameter
Returns a new parameter with one path item popped off the end.
popn(int) - Method in class ec.util.Parameter
Returns a new parameter with n path items popped off the end.
populate(EvolutionState, int) - Method in class ec.Population
Populates the population with new random individuals.
populate(EvolutionState, int) - Method in class ec.Subpopulation
 
populatePredictiveParseTable(GrammarNode) - Method in class ec.gp.ge.GrammarParser
Now populate the predictive-parse table, this procedure reads hash-maps/tables for the grammar-rule indices, PREDICT-SETs etc, and assigns the corresponding values in the predictive-parse table.
population - Variable in class ec.EvolutionState
The current population.
Population - Class in ec
A Population is the repository for all the Individuals being bred or evaluated in the evolutionary run at a given time.
Population() - Constructor for class ec.Population
 
portrayIndividual(EvolutionState, Individual) - Method in class ec.display.portrayal.IndividualPortrayal
 
portrayIndividual(EvolutionState, Individual) - Method in class ec.display.portrayal.SimpleIndividualPortrayal
 
pos - Variable in class ec.util.DecodeReturn
The DecodeReturn new position in the string.
possiblyRestoreFromCheckpoint(String[]) - Static method in class ec.Evolve
Restores an EvolutionState from checkpoint if "-checkpoint FILENAME" is in the command-line arguments.
postAnnouncements - Variable in class ec.util.Log
Should the log post announcements?
postBreedingExchangePopulation(EvolutionState) - Method in class ec.exchange.InterPopulationExchange
 
postBreedingExchangePopulation(EvolutionState) - Method in class ec.exchange.IslandExchange
 
postBreedingExchangePopulation(EvolutionState) - Method in class ec.Exchanger
Performs exchanges after the population has been bred but before it has been evaluated, once every generation (or pseudogeneration).
postBreedingExchangePopulation(EvolutionState) - Method in class ec.simple.SimpleExchanger
Simply returns state.population.
postBreedingStatistics(EvolutionState) - Method in class ec.simple.SimpleShortStatistics
 
postBreedingStatistics(EvolutionState) - Method in class ec.Statistics
GENERATIONAL: Called immediately after breeding occurs.
postCheckpointStatistics(EvolutionState) - Method in class ec.Statistics
Called immediately after checkpointing occurs.
postCheckpointStatistics(EvolutionState) - Method in interface ec.steadystate.SteadyStateStatisticsForm
Called immediately after checkpointing occurs.
postEvaluationStatistics(EvolutionState) - Method in class ec.simple.SimpleShortStatistics
Prints out the statistics, but does not end with a println -- this lets overriding methods print additional statistics on the same line
postEvaluationStatistics(EvolutionState) - Method in class ec.simple.SimpleStatistics
 
postEvaluationStatistics(EvolutionState) - Method in class ec.Statistics
GENERATIONAL: Called immediately after evaluation occurs.
postEvolution(EvolutionStateEvent) - Method in interface ec.display.EvolutionStateListener
 
postEvolution(EvolutionStateEvent) - Method in class ec.display.SubpopulationPanel
 
postInitializationStatistics(EvolutionState) - Method in class ec.gp.koza.KozaShortStatistics
 
postInitializationStatistics(EvolutionState) - Method in class ec.simple.SimpleShortStatistics
 
postInitializationStatistics(EvolutionState) - Method in class ec.simple.SimpleStatistics
 
postInitializationStatistics(EvolutionState) - Method in class ec.Statistics
GENERATIONAL: Called immediately after population initialization occurs.
postPostBreedingExchangeStatistics(EvolutionState) - Method in class ec.Statistics
Called immediately after the post-breeding exchange occurs.
postPostBreedingExchangeStatistics(EvolutionState) - Method in interface ec.steadystate.SteadyStateStatisticsForm
Called immediately after the post-breeding exchange occurs.
postPreBreedingExchangeStatistics(EvolutionState) - Method in class ec.Statistics
Called immediately after the pre-breeding exchange occurs.
postPreBreedingExchangeStatistics(EvolutionState) - Method in interface ec.steadystate.SteadyStateStatisticsForm
Called immediately after the pre-breeding exchange occurs.
postProcess(Population, Population, EvolutionState) - Method in class ec.es.MuCommaLambdaBreeder
A hook for Mu+Lambda, not used in Mu,Lambda
postProcess(Population, Population, EvolutionState) - Method in class ec.es.MuPlusLambdaBreeder
 
postProcessFunctionSet() - Method in class ec.gp.GPFunctionSet
Sets up the arrays based on the hashtables
postprocessIndividual(EvolutionState, int) - Method in class ec.rule.RuleIndividual
Called by pipelines after they've modified the individual and it might need to be "fixed" -- basically a hook for you to override.
postprocessPopulation(EvolutionState, Population, boolean[], boolean) - Method in interface ec.coevolve.GroupedProblemForm
Finish processing the population (such as fitness information) after evaluation.
postprocessPopulation(EvolutionState, Population, boolean[], boolean) - Method in class ec.eval.MasterProblem
 
postprocessPopulation(EvolutionState, Population, boolean[], boolean) - Method in class ec.gp.ge.GEProblem
 
postprocessRules(EvolutionState, int) - Method in class ec.rule.RuleSet
Should be called by pipelines to "fix up" the rulesets after they have been mutated or crossed over.
postProcessSetType(int) - Method in class ec.gp.GPSetType
Sets up the packed and sparse arrays based on the hashtable
postProcessTypes() - Method in class ec.gp.GPInitializer
Assigns unique integers to each atomic type, and sets up compatibility arrays for set types.
preBreedingExchangePopulation(EvolutionState) - Method in class ec.exchange.InterPopulationExchange
 
preBreedingExchangePopulation(EvolutionState) - Method in class ec.exchange.IslandExchange
 
preBreedingExchangePopulation(EvolutionState) - Method in class ec.Exchanger
Performs exchanges after the population has been evaluated but before it has been bred, once every generation (or pseudogeneration).
preBreedingExchangePopulation(EvolutionState) - Method in class ec.simple.SimpleExchanger
Simply returns state.population.
preBreedingStatistics(EvolutionState) - Method in class ec.simple.SimpleShortStatistics
 
preBreedingStatistics(EvolutionState) - Method in class ec.Statistics
GENERATIONAL: Called immediately before breeding occurs.
preCheckpointStatistics(EvolutionState) - Method in class ec.Statistics
Called immediately before checkpointing occurs.
preCheckpointStatistics(EvolutionState) - Method in interface ec.steadystate.SteadyStateStatisticsForm
Called immediately before checkpointing occurs.
preEvaluationStatistics(EvolutionState) - Method in class ec.evolve.RandomRestarts
Checks the clock; if it's time to restart, we repopulate the population.
preEvaluationStatistics(EvolutionState) - Method in class ec.parsimony.TarpeianStatistics
Marks a proportion (killProportion) of individuals with above-average size (within their own subpopulation) to a minimum value.
preEvaluationStatistics(EvolutionState) - Method in class ec.simple.SimpleShortStatistics
 
preEvaluationStatistics(EvolutionState) - Method in class ec.Statistics
GENERATIONAL: Called immediately before evaluation occurs.
preInitializationStatistics(EvolutionState) - Method in class ec.simple.SimpleShortStatistics
 
preInitializationStatistics(EvolutionState) - Method in class ec.Statistics
Called immediately before population initialization occurs.
prepareADF(ADF, GPProblem) - Method in class ec.gp.ADFContext
Increases arguments to accommodate space if necessary.
prepareADM(ADM) - Method in class ec.gp.ADFContext
Sets adf to a
prepareDEBreeder(EvolutionState) - Method in class ec.de.DEBreeder
 
preparePipeline(Object) - Method in class ec.BreedingPipeline
 
preparePipeline(Object) - Method in class ec.BreedingSource
A hook which should be passed to all your subsidiary breeding sources.
preparePipeline(Object) - Method in class ec.select.MultiSelection
 
prepareStatistics(EvolutionState) - Method in class ec.gp.koza.KozaShortStatistics
 
prepareStatistics(EvolutionState) - Method in class ec.simple.SimpleShortStatistics
 
prepareToBreed(EvolutionState, int) - Method in class ec.steadystate.SteadyStateBreeder
 
prepareToEvaluate(EvolutionState, int) - Method in class ec.eval.MasterProblem
 
prepareToEvaluate(EvolutionState, int) - Method in class ec.gp.ge.GEProblem
 
prepareToEvaluate(EvolutionState, int) - Method in class ec.Problem
May be called by the Evaluator prior to a series of individuals to evaluate, and then ended with a finishEvaluating(...).
prepareToEvaluate(EvolutionState, int) - Method in class ec.steadystate.SteadyStateEvaluator
 
prepareToProduce(EvolutionState, int, int) - Method in class ec.breed.BufferedBreedingPipeline
 
prepareToProduce(EvolutionState, int, int) - Method in class ec.breed.UniquePipeline
 
prepareToProduce(EvolutionState, int, int) - Method in class ec.BreedingPipeline
 
prepareToProduce(EvolutionState, int, int) - Method in class ec.BreedingSource
Called before produce(...), usually once a generation, or maybe only once if you're doing steady-state evolution, to let the breeding source "warm up" prior to producing.
prepareToProduce(EvolutionState, int, int) - Method in class ec.es.ESSelection
 
prepareToProduce(EvolutionState, int, int) - Method in class ec.parsimony.BucketTournamentSelection
Prepare to produce: create the buckets!!!!
prepareToProduce(EvolutionState, int, int) - Method in class ec.parsimony.RatioBucketTournamentSelection
Prepare to produce: create the buckets!!!!
prepareToProduce(EvolutionState, int, int) - Method in class ec.select.BestSelection
 
prepareToProduce(EvolutionState, int, int) - Method in class ec.select.BoltzmannSelection
 
prepareToProduce(EvolutionState, int, int) - Method in class ec.select.FitProportionateSelection
 
prepareToProduce(EvolutionState, int, int) - Method in class ec.select.GreedyOverselection
 
prepareToProduce(EvolutionState, int, int) - Method in class ec.select.MultiSelection
 
prepareToProduce(EvolutionState, int, int) - Method in class ec.select.SigmaScalingSelection
 
prepareToProduce(EvolutionState, int, int) - Method in class ec.select.SUSSelection
 
prepareToProduce(EvolutionState, int, int) - Method in class ec.SelectionMethod
A default version of prepareToProduce which does nothing.
prePostBreedingExchangeStatistics(EvolutionState) - Method in class ec.Statistics
Called immediately before the post-breeding exchange occurs.
prePostBreedingExchangeStatistics(EvolutionState) - Method in interface ec.steadystate.SteadyStateStatisticsForm
Called immediately before the post-breeding exchange occurs.
prePreBreedingExchangeStatistics(EvolutionState) - Method in class ec.Statistics
Called immediately before the pre-breeding exchange occurs.
prePreBreedingExchangeStatistics(EvolutionState) - Method in interface ec.steadystate.SteadyStateStatisticsForm
Called immediately before the pre-breeding exchange occurs.
preprocess(EvolutionState, int) - Method in class ec.gp.build.Uniform
 
preprocessIndividual(EvolutionState, int) - Method in class ec.rule.RuleIndividual
Called by pipelines before they've modified the individual and it might need to be "fixed" -- basically a hook for you to override.
preprocessPopulation(EvolutionState, Population, boolean[], boolean) - Method in interface ec.coevolve.GroupedProblemForm
Set up the population pop (such as fitness information) prior to evaluation.
preprocessPopulation(EvolutionState, Population, boolean[], boolean) - Method in class ec.eval.MasterProblem
 
preprocessPopulation(EvolutionState, Population, boolean[], boolean) - Method in class ec.gp.ge.GEProblem
 
preprocessRules(EvolutionState, int) - Method in class ec.rule.RuleSet
Should be called by pipelines to "fix up" the rulesets before they have been mutated or crossed over.
previousPopulation - Variable in class ec.de.DEBreeder
the previous population is stored in order to have parents compete directly with their children
primeGenerator(MersenneTwisterFast) - Static method in class ec.Evolve
Primes the generator.
print(String, int, Log) - Method in class ec.util.Output
Prints a non-announcement message to a given log, with a certain verbosity.
print(String, int, int) - Method in class ec.util.Output
Prints a non-announcement message to a given log, with a certain verbosity.
print(String, int) - Method in class ec.util.Output
Prints a non-announcement message to a given log.
print(String, int, int[]) - Method in class ec.util.Output
Deprecated.
Verbosity no longer has any effect
print(String, int[]) - Method in class ec.util.Output
Prints a non-announcement message to the given logs, with a certain verbosity.
PRINT_PARAMS - Static variable in class ec.util.ParameterDatabase
 
PRINT_STYLE_C - Static variable in class ec.gp.GPTree
 
PRINT_STYLE_DOT - Static variable in class ec.gp.GPTree
 
PRINT_STYLE_LATEX - Static variable in class ec.gp.GPTree
 
PRINT_STYLE_LISP - Static variable in class ec.gp.GPTree
 
printExtraPopStatisticsAfter(EvolutionState) - Method in class ec.simple.SimpleShortStatistics
 
printExtraPopStatisticsBefore(EvolutionState) - Method in class ec.gp.koza.KozaShortStatistics
 
printExtraPopStatisticsBefore(EvolutionState) - Method in class ec.simple.SimpleShortStatistics
 
printExtraSubpopStatisticsAfter(EvolutionState, int) - Method in class ec.simple.SimpleShortStatistics
 
printExtraSubpopStatisticsBefore(EvolutionState, int) - Method in class ec.gp.koza.KozaShortStatistics
 
printExtraSubpopStatisticsBefore(EvolutionState, int) - Method in class ec.simple.SimpleShortStatistics
 
printFitness(EvolutionState, int) - Method in class ec.Fitness
Should print the fitness out in a computer-readable fashion, with a verbosity of Output.V_NO_GENERAL.
printFitness(EvolutionState, int, int) - Method in class ec.Fitness
Deprecated.
Verbosity no longer has meaning
printFitness(EvolutionState, PrintWriter) - Method in class ec.Fitness
Should print the fitness out in a computer-readable fashion, using writer.println(...).
printFitnessForHumans(EvolutionState, int) - Method in class ec.Fitness
Should print the fitness out fashion pleasing for humans to read, with a verbosity of Output.V_NO_GENERAL.
printFitnessForHumans(EvolutionState, int, int) - Method in class ec.Fitness
Deprecated.
Verbosity no longer has meaning
printGene(EvolutionState, int, int) - Method in class ec.vector.Gene
Prints the gene in a way that can be read by readGene().
printGene(EvolutionState, PrintWriter) - Method in class ec.vector.Gene
Prints the gene in a way that can be read by readGene().
printGeneForHumans(EvolutionState, int, int) - Method in class ec.vector.Gene
Nice printing.
printGeneToString() - Method in class ec.vector.Gene
Prints the gene to a string in a fashion readable by readGeneFromString and parseable by readGene(state, reader).
printGeneToStringForHumans() - Method in class ec.vector.Gene
Prints the gene to a string in a human-readable fashion.
printIndividual(EvolutionState, int) - Method in class ec.gp.GPIndividual
 
printIndividual(EvolutionState, PrintWriter) - Method in class ec.gp.GPIndividual
 
printIndividual(EvolutionState, int) - Method in class ec.Individual
Should print the individual in a way that can be read by computer, including its fitness, with a verbosity of Output.V_NO_GENERAL.
printIndividual(EvolutionState, int, int) - Method in class ec.Individual
Deprecated.
Verbosity no longer used.
printIndividual(EvolutionState, PrintWriter) - Method in class ec.Individual
Should print the individual in a way that can be read by computer, including its fitness.
printIndividual(EvolutionState, int) - Method in class ec.pso.Particle
 
printIndividual(EvolutionState, PrintWriter) - Method in class ec.pso.Particle
 
printIndividual(EvolutionState, int) - Method in class ec.rule.RuleIndividual
 
printIndividual(EvolutionState, PrintWriter) - Method in class ec.rule.RuleIndividual
Overridden for the RuleIndividual genotype, writing each ruleset in turn.
printIndividualForHumans(EvolutionState, int) - Method in class ec.gp.ge.GEIndividual
 
printIndividualForHumans(EvolutionState, int) - Method in class ec.gp.GPIndividual
 
printIndividualForHumans(EvolutionState, int) - Method in class ec.Individual
Should print the individual out in a pleasing way for humans, with a verbosity of Output.V_NO_GENERAL.
printIndividualForHumans(EvolutionState, int, int) - Method in class ec.Individual
Deprecated.
Verbosity no longer used.
printIndividualForHumans(EvolutionState, int) - Method in class ec.rule.RuleIndividual
 
println(String, int, boolean) - Method in class ec.util.Output
Prints a message to a given log.
println(String, int, int[]) - Method in class ec.util.Output
Deprecated.
Verbosity no longer has an effect
println(String, int, int) - Method in class ec.util.Output
Deprecated.
Verbosity no longer has an effect
println(String, int) - Method in class ec.util.Output
Prints a non-announcement message to the given logs, with a verbosity of V_NO_GENERAL.
printNode(EvolutionState, int) - Method in class ec.gp.GPNode
Prints out a COMPUTER-readable and Lisp-like atom for the node, which is also suitable for readNode to read, and returns the number of bytes in the string that you sent to the log (use print(), not println()).
printNode(EvolutionState, int, int) - Method in class ec.gp.GPNode
Deprecated.
Verbosity no longer has an effect.
printNode(EvolutionState, PrintWriter) - Method in class ec.gp.GPNode
Prints out a COMPUTER-readable and Lisp-like atom for the node, which is also suitable for readNode to read, and returns the number of bytes in the string that you sent to the log (use print(), not println()).
printNodeForHumans(EvolutionState, int) - Method in class ec.gp.GPNode
Prints out a human-readable and Lisp-like atom for the node, and returns the number of bytes in the string that you sent to the log (use print(), not println()).
printNodeForHumans(EvolutionState, int, int) - Method in class ec.gp.GPNode
Deprecated.
Verbosity no longer has an effect.
printPopulation(EvolutionState, int, int) - Method in class ec.Population
Deprecated.
Verbosity no longer has meaning
printPopulation(EvolutionState, int) - Method in class ec.Population
Prints an entire population in a form readable by humans but also parseable by the computer using readPopulation(EvolutionState, LineNumberReader), with a verbosity of Output.V_NO_GENERAL.
printPopulation(EvolutionState, PrintWriter) - Method in class ec.Population
Prints an entire population in a form readable by humans but also parseable by the computer using readPopulation(EvolutionState, LineNumberReader).
printPopulationForHumans(EvolutionState, int, int) - Method in class ec.Population
Deprecated.
Verbosity no longer has meaning
printPopulationForHumans(EvolutionState, int) - Method in class ec.Population
Prints an entire population in a form readable by humans, with a verbosity of Output.V_NO_GENERAL.
printRootedTree(EvolutionState, int, int) - Method in class ec.gp.GPNode
Prints out the tree on a single line, with no ending \n, in a fashion that can be read in later by computer.
printRootedTree(EvolutionState, int, int, int) - Method in class ec.gp.GPNode
Deprecated.
Verbosity no longer has an effect.
printRootedTree(EvolutionState, PrintWriter, int) - Method in class ec.gp.GPNode
Prints out the tree on a single line, with no ending \n, in a fashion that can be read in later by computer.
printRootedTreeForHumans(EvolutionState, int, int, int) - Method in class ec.gp.GPNode
Prints out the tree in a readable Lisp-like multi-line fashion.
printRootedTreeForHumans(EvolutionState, int, int, int, int) - Method in class ec.gp.GPNode
Deprecated.
Verbosity no longer has an effect.
printRule(EvolutionState, int) - Method in class ec.rule.Rule
Prints the rule in a way that can be read by readRule().
printRule(EvolutionState, int, int) - Method in class ec.rule.Rule
Deprecated.
Verbosity no longer has an effect
printRule(EvolutionState, PrintWriter) - Method in class ec.rule.Rule
Prints the rule in a way that can be read by readRule().
printRuleForHumans(EvolutionState, int) - Method in class ec.rule.Rule
Nice printing.
printRuleForHumans(EvolutionState, int, int) - Method in class ec.rule.Rule
Deprecated.
Verbosity no longer has an effect
printRuleSet(EvolutionState, int) - Method in class ec.rule.RuleSet
Prints the rule set such that the computer can read it later
printRuleSet(EvolutionState, int, int) - Method in class ec.rule.RuleSet
Deprecated.
Verbosity no longer has an effect
printRuleSet(EvolutionState, PrintWriter) - Method in class ec.rule.RuleSet
Prints the rule set such that the computer can read it later
printRuleSetForHumans(EvolutionState, int) - Method in class ec.rule.RuleSet
Prints out the rule set in a readable fashion.
printRuleSetForHumans(EvolutionState, int, int) - Method in class ec.rule.RuleSet
Deprecated.
Verbosity no longer has an effect
printRuleToString(EvolutionState) - Method in class ec.rule.Rule
Deprecated. 
printRuleToString() - Method in class ec.rule.Rule
Prints the rule to a string in a fashion readable by readRuleFromString.
printRuleToStringForHumans() - Method in class ec.rule.Rule
Nice printing to a string.
printState - Variable in class ec.util.ParameterDatabase
 
printStyle - Variable in class ec.gp.GPTree
The print style of the GPTree.
printSubpopulation(EvolutionState, int, int) - Method in class ec.Subpopulation
Deprecated.
Verbosity no longer has meaning
printSubpopulation(EvolutionState, int) - Method in class ec.Subpopulation
Prints an entire subpopulation in a form readable by humans but also parseable by the computer using readSubpopulation(EvolutionState, LineNumberReader) with a verbosity of Output.V_NO_GENERAL.
printSubpopulation(EvolutionState, PrintWriter) - Method in class ec.Subpopulation
Prints an entire subpopulation in a form readable by humans but also parseable by the computer using readSubpopulation(EvolutionState, LineNumberReader).
printSubpopulationForHumans(EvolutionState, int, int) - Method in class ec.Subpopulation
Deprecated.
Verbosity no longer has meaning
printSubpopulationForHumans(EvolutionState, int) - Method in class ec.Subpopulation
 
printTerminalsAsVariablesInC - Variable in class ec.gp.GPTree
When using c to print for humans, do we print terminals as variables? (as opposed to zero-argument functions)?
printTree(EvolutionState, int) - Method in class ec.gp.GPTree
Prints out the tree in single-line fashion suitable for reading in later by computer.
printTree(EvolutionState, int, int) - Method in class ec.gp.GPTree
Deprecated.
Verbosity no longer has an effect
printTree(EvolutionState, PrintWriter) - Method in class ec.gp.GPTree
Prints out the tree in single-line fashion suitable for reading in later by computer.
printTreeForHumans(EvolutionState, int) - Method in class ec.gp.GPTree
Prints out the tree in a readable Lisp-like fashion.
printTreeForHumans(EvolutionState, int, int) - Method in class ec.gp.GPTree
Deprecated.
Verbosity no longer has an effect.
printTrees(EvolutionState, int) - Method in class ec.gp.GPIndividual
Prints just the trees of the GPIndividual.
printTwoArgumentNonterminalsAsOperatorsInC - Variable in class ec.gp.GPTree
When using c to print for humans, do we print two-argument nonterminals in operator form "a op b"? (as opposed to functions "op(a, b)")?
probability - Variable in class ec.BreedingSource
The probability that this BreedingSource will be chosen to breed over other BreedingSources.
probabilityOfPickingSizePlusOne - Variable in class ec.select.BestSelection
Probablity of picking the size plus one.
probabilityOfPickingSizePlusOne - Variable in class ec.select.TournamentSelection
Probablity of picking the size plus one
probabilityOfSelection - Variable in class ec.gp.GPNodeConstraints
Probability of selection -- an auxillary measure mostly used by PTC1/PTC2 right now
probabilityOfSelection - Variable in class ec.parsimony.DoubleTournamentSelection
What's our probability of selection? If 1.0, we always pick the "good" individual.
probabilityOfSelection2 - Variable in class ec.parsimony.DoubleTournamentSelection
 
problem - Variable in class ec.eval.MasterProblem
 
problem - Variable in class ec.gp.ge.GEProblem
 
Problem - Class in ec
Problem is a prototype which defines the problem against which we will evaluate individuals in a population.
Problem() - Constructor for class ec.Problem
 
process(EvolutionState, int, String, int, Individual) - Method in class ec.Exchanger
Typically called by preBreedingExchangePopulation prior to migrating an individual.
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.breed.BufferedBreedingPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.breed.CheckingPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.breed.ForceBreedingPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.breed.GenerationSwitchPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.breed.InitializationPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.breed.MultiBreedingPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.breed.ReproductionPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.breed.UniquePipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.BreedingSource
Produces n individuals from the given subpopulation and puts them into inds[start...start+n-1], where n = Min(Max(q,min),max), where q is the "typical" number of individuals the BreedingSource produces in one shot, and returns n.
produce(int, EvolutionState, int) - Method in class ec.es.ESSelection
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.es.ESSelection
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.gp.breed.InternalCrossoverPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.gp.breed.MutateAllNodesPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.gp.breed.MutateDemotePipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.gp.breed.MutateERCPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.gp.breed.MutateOneNodePipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.gp.breed.MutatePromotePipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.gp.breed.MutateSwapPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.gp.breed.RehangPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.gp.breed.SizeFairCrossoverPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.gp.koza.CrossoverPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.gp.koza.MutationPipeline
 
produce(int, EvolutionState, int) - Method in class ec.parsimony.BucketTournamentSelection
 
produce(int, EvolutionState, int) - Method in class ec.parsimony.DoubleTournamentSelection
Produces the index of a person selected from among several by a tournament.
produce(int, EvolutionState, int) - Method in class ec.parsimony.RatioBucketTournamentSelection
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.rule.breed.RuleCrossoverPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.rule.breed.RuleMutationPipeline
 
produce(int, EvolutionState, int) - Method in class ec.select.BestSelection
 
produce(int, EvolutionState, int) - Method in class ec.select.FirstSelection
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.select.FirstSelection
 
produce(int, EvolutionState, int) - Method in class ec.select.FitProportionateSelection
 
produce(int, EvolutionState, int) - Method in class ec.select.GreedyOverselection
 
produce(int, EvolutionState, int) - Method in class ec.select.MultiSelection
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.select.MultiSelection
 
produce(int, EvolutionState, int) - Method in class ec.select.RandomSelection
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.select.RandomSelection
 
produce(int, EvolutionState, int) - Method in class ec.select.SUSSelection
 
produce(int, EvolutionState, int) - Method in class ec.select.TournamentSelection
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.SelectionMethod
 
produce(int, EvolutionState, int) - Method in class ec.SelectionMethod
An alternative form of "produce" special to Selection Methods; selects an individual from the given subpopulation and returns its position in that subpopulation.
produce(SelectionMethod, int, int, EvolutionState, int) - Method in class ec.spatial.SpatialMultiPopCoevolutionaryEvaluator
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.vector.breed.GeneDuplicationPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.vector.breed.ListCrossoverPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.vector.breed.MultipleVectorCrossoverPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.vector.breed.VectorCrossoverPipeline
 
produce(int, int, int, int, Individual[], EvolutionState, int) - Method in class ec.vector.breed.VectorMutationPipeline
 
produceCurrent(int, EvolutionState, int) - Method in class ec.coevolve.MultiPopCoevolutionaryEvaluator
Selects one individual from the given subpopulation.
producePrevious(int, EvolutionState, int) - Method in class ec.coevolve.MultiPopCoevolutionaryEvaluator
Selects one individual from the previous subpopulation.
produces(EvolutionState, Population, int, int) - Method in class ec.BreedingPipeline
 
produces(EvolutionState, Population, int, int) - Method in class ec.BreedingSource
Returns true if this BreedingSource, when attached to the given subpopulation, will produce individuals of the subpopulation's species.
produces(EvolutionState, Population, int, int) - Method in class ec.gp.GPBreedingPipeline
Returns true if s is a GPSpecies.
produces(EvolutionState, Population, int, int) - Method in class ec.select.MultiSelection
 
produces(EvolutionState, Population, int, int) - Method in class ec.SelectionMethod
A default version of produces -- this method always returns true under the assumption that the selection method works with all Fitnesses.
ProportionalTournamentSelection - Class in ec.parsimony
This selection method adds parsimony pressure to the regular tournament selection.
ProportionalTournamentSelection() - Constructor for class ec.parsimony.ProportionalTournamentSelection
 
Prototype - Interface in ec
Prototype classes typically have one or a few prototype instances created during the course of a run.
PS_NONE - Static variable in class ec.util.ParameterDatabase
 
PS_PRINT_PARAMS - Static variable in class ec.util.ParameterDatabase
 
PS_UNKNOWN - Static variable in class ec.util.ParameterDatabase
 
PSOBreeder - Class in ec.pso
PSOBreeder is a simple single-threaded Breeder which performs Particle Swarm Optimization using the Particle class as individuals.
PSOBreeder() - Constructor for class ec.pso.PSOBreeder
 
PTC1 - Class in ec.gp.build
PTC1 implements the "Strongly-typed Probabilistic Tree Creation 1 (PTC1)" algorithm described in
PTC1() - Constructor for class ec.gp.build.PTC1
 
PTC2 - Class in ec.gp.build
PTC2 implements the "Strongly-typed Probabilistic Tree Creation 2 (PTC2)" algorithm described in
PTC2() - Constructor for class ec.gp.build.PTC2
 
PTCFunctionSet - Class in ec.gp.build
PTCFunctionSet is a GPFunctionSet which adheres to PTCFunctionSetForm, and thus can be used with the PTC1 and PTC2 methods.
PTCFunctionSet() - Constructor for class ec.gp.build.PTCFunctionSet
 
PTCFunctionSetForm - Interface in ec.gp.build
PTCFunctionSetForm defines the methods that the PTC1 and PTC2 tree-creation algorithms require of function sets.
push(ADFContext) - Method in class ec.gp.ADFStack
Pushes an ADFContext onto the main stack.
push(String) - Method in class ec.util.Parameter
Returns a new parameter with s added to the end of the current path items.
push(String[]) - Method in class ec.util.Parameter
Returns a new parameter with the path items in s added to the end of the current path items.
PushBuilder - Class in ec.gp.push
PushBuilder implements the Push-style tree building algorithm, which permits nonterminals of arbitrary arity.
PushBuilder() - Constructor for class ec.gp.push.PushBuilder
 
PushDefaults - Class in ec.gp.push
 
PushDefaults() - Constructor for class ec.gp.push.PushDefaults
 
PushInstruction - Class in ec.gp.push
PushInstruction encapsulates a custom Push instruction.
PushInstruction() - Constructor for class ec.gp.push.PushInstruction
 
pushOntoFloatStack(Interpreter, float) - Method in class ec.gp.push.PushProblem
Pushes a value onto the top of the float stack of the interpreter.
pushOntoIntStack(Interpreter, int) - Method in class ec.gp.push.PushProblem
Pushes a value onto the top of the int stack of the interpreter.
PushProblem - Class in ec.gp.push
A PushProblem contains useful methods to help you create an interpreter, write out the ECJ GP tree to a string, build a Push Program around this string, load the interpreter with all your custom instructions, and run the Push Program on the interpreter.
PushProblem() - Constructor for class ec.gp.push.PushProblem
 

Q

q_ny - Variable in class ec.gp.build.PTCFunctionSet
nonterminal probabilities[type][thenodes], in organized form
q_ty - Variable in class ec.gp.build.PTCFunctionSet
terminal probabilities[type][thenodes], in organized form
qsort(byte[]) - Static method in class ec.util.QuickSort
Non-Recursive QuickSort
qsort(short[]) - Static method in class ec.util.QuickSort
Non-Recursive QuickSort
qsort(char[]) - Static method in class ec.util.QuickSort
Non-Recursive QuickSort
qsort(int[]) - Static method in class ec.util.QuickSort
Non-Recursive QuickSort
qsort(long[]) - Static method in class ec.util.QuickSort
Non-Recursive QuickSort
qsort(float[]) - Static method in class ec.util.QuickSort
Non-Recursive QuickSort
qsort(double[]) - Static method in class ec.util.QuickSort
Non-Recursive QuickSort
qsort(Object[], SortComparator) - Static method in class ec.util.QuickSort
Non-Recursive QuickSort
qsort(long[], SortComparatorL) - Static method in class ec.util.QuickSort
Non-Recursive QuickSort
qsort(int[], SortComparatorL) - Static method in class ec.util.QuickSort
Non-Recursive QuickSort
QueueIndividual - Class in ec.steadystate
 
QueueIndividual(Individual, int) - Constructor for class ec.steadystate.QueueIndividual
 
QuickSort - Class in ec.util
Implementations of various center-pivot QuickSort routines in Java, and (if you really want 'em) Insertion Sort routines as well.
QuickSort() - Constructor for class ec.util.QuickSort
 
quitOnRunComplete - Variable in class ec.EvolutionState
Whether or not the system should prematurely quit when Evaluator returns true for runComplete(...) (that is, when the system found an ideal individual.

R

R_FAILURE - Static variable in class ec.EvolutionState
"The evolution run has quit, failing to find a perfect individual."
R_NOTDONE - Static variable in class ec.EvolutionState
"The evolution run has not quit
R_SUCCESS - Static variable in class ec.EvolutionState
"The evolution run has quit, finding a perfect individual."
Rand1EitherOrDEBreeder - Class in ec.de
Rand1EitherOrDEBreeder is a differential evolution breeding operator.
Rand1EitherOrDEBreeder() - Constructor for class ec.de.Rand1EitherOrDEBreeder
 
random - Variable in class ec.EvolutionState
An array of random number generators, indexed by the thread number you were given (or, if you're not in a multithreaded area, use 0).
RandomBranch - Class in ec.gp.build
RandomBranch implements the Random_Branch tree generation method described in
RandomBranch() - Constructor for class ec.gp.build.RandomBranch
 
RandomChoice - Class in ec.util
RandomChoice organizes arrays of floats into distributions which can be used to pick randomly from.
RandomChoice() - Constructor for class ec.util.RandomChoice
 
RandomChoiceChooser - Interface in ec.util
Used by RandomChoice to pick objects by probability from a distribution.
RandomChoiceChooserD - Interface in ec.util
Used by RandomChoice to pick objects by probability from a distribution.
randomizeOrder(EvolutionState, Individual[]) - Method in class ec.coevolve.CompetitiveEvaluator
 
randomizeRulesOrder(EvolutionState, int) - Method in class ec.rule.RuleSet
Randomizes the order of the rules in the rule set.
RandomRestarts - Class in ec.evolve
A special Statistics class which performs random restarts on the population, effectively reininitializing the population and starting over again.
RandomRestarts() - Constructor for class ec.evolve.RandomRestarts
 
randomSeedOffset - Variable in class ec.EvolutionState
An amount to add to each random number generator seed to "offset" it -- often this is simply the job number.
RandomSelection - Class in ec.select
Picks a random individual in the subpopulation.
RandomSelection() - Constructor for class ec.select.RandomSelection
 
randomValueFromClosedInterval(byte, byte, MersenneTwisterFast) - Method in class ec.vector.ByteVectorIndividual
Returns a random value from between min and max inclusive.
randomValueFromClosedInterval(int, int, MersenneTwisterFast) - Method in class ec.vector.IntegerVectorIndividual
Returns a random value from between min and max inclusive.
randomValueFromClosedInterval(long, long, MersenneTwisterFast) - Method in class ec.vector.LongVectorIndividual
Returns a random value from between min and max inclusive.
randomValueFromClosedInterval(short, short, MersenneTwisterFast) - Method in class ec.vector.LongVectorIndividual
Returns a random value from between min and max inclusive.
randomValueFromClosedInterval(short, short, MersenneTwisterFast) - Method in class ec.vector.ShortVectorIndividual
Returns a random value from between min and max inclusive.
randomWalkProbability - Variable in class ec.vector.FloatVectorSpecies
The continuation probability for Integer Random Walk Mutation, per gene.
randomWalkProbability(int) - Method in class ec.vector.FloatVectorSpecies
 
randomWalkProbability - Variable in class ec.vector.IntegerVectorSpecies
The continuation probability for Integer Random Walk Mutation, per gene.
randomWalkProbability(int) - Method in class ec.vector.IntegerVectorSpecies
 
RandTree - Class in ec.gp.build
 
RandTree() - Constructor for class ec.gp.build.RandTree
 
RandTree.ArityObject - Class in ec.gp.build
 
RandTree.ArityObject(int) - Constructor for class ec.gp.build.RandTree.ArityObject
 
rank - Variable in class ec.multiobjective.nsga2.NSGA2MultiObjectiveFitness
Pareto front rank measure (lower ranks are better)
ratio - Variable in class ec.parsimony.RatioBucketTournamentSelection
The value of RATIO
RatioBucketTournamentSelection - Class in ec.parsimony
Does a tournament selection, limited to the subpopulation it's working in at the time.
RatioBucketTournamentSelection() - Constructor for class ec.parsimony.RatioBucketTournamentSelection
 
rawFitness() - Method in class ec.gp.koza.KozaFitness
Deprecated.
use standardizedFitness()
readBooleanWithPreamble(String, EvolutionState, LineNumberReader) - Static method in class ec.util.Code
Finds the next nonblank line, skips past an expected preamble, and reads in a boolean value ("true" or "false") if there is one, and returns it.
readByteWithPreamble(String, EvolutionState, LineNumberReader) - Static method in class ec.util.Code
Finds the next nonblank line, skips past an expected preamble, and reads in a byte if there is one, and returns it.
readCharacterWithPreamble(String, EvolutionState, LineNumberReader) - Static method in class ec.util.Code
Finds the next nonblank line, skips past an expected preamble, and reads in a character if there is one, and returns it.
readDoubleWithPreamble(String, EvolutionState, LineNumberReader) - Static method in class ec.util.Code
Finds the next nonblank line, skips past an expected preamble, and reads in a double if there is one, and returns it.
readFitness(EvolutionState, LineNumberReader) - Method in class ec.Fitness
Reads in the fitness from a form outputted by fitnessToString() and thus printFitnessForHumans(...).
readFitness(EvolutionState, DataInput) - Method in class ec.Fitness
Reads the binary form of an individual from a DataInput.
readFitness(EvolutionState, LineNumberReader) - Method in class ec.gp.koza.KozaFitness
 
readFitness(EvolutionState, DataInput) - Method in class ec.gp.koza.KozaFitness
 
readFitness(EvolutionState, LineNumberReader) - Method in class ec.multiobjective.MultiObjectiveFitness
 
readFitness(EvolutionState, DataInput) - Method in class ec.multiobjective.MultiObjectiveFitness
 
readFitness(EvolutionState, LineNumberReader) - Method in class ec.multiobjective.nsga2.NSGA2MultiObjectiveFitness
 
readFitness(EvolutionState, DataInput) - Method in class ec.multiobjective.nsga2.NSGA2MultiObjectiveFitness
 
readFitness(EvolutionState, LineNumberReader) - Method in class ec.multiobjective.spea2.SPEA2MultiObjectiveFitness
 
readFitness(EvolutionState, DataInput) - Method in class ec.multiobjective.spea2.SPEA2MultiObjectiveFitness
 
readFitness(EvolutionState, LineNumberReader) - Method in class ec.simple.SimpleFitness
Presently does not decode the fact that the fitness is ideal or not
readFitness(EvolutionState, DataInput) - Method in class ec.simple.SimpleFitness
 
readFloatWithPreamble(String, EvolutionState, LineNumberReader) - Static method in class ec.util.Code
Finds the next nonblank line, skips past an expected preamble, and reads in a float if there is one, and returns it.
readGene(EvolutionState, LineNumberReader) - Method in class ec.vector.Gene
Reads a gene printed by printGene(...).
readGene(EvolutionState, DataInput) - Method in class ec.vector.Gene
Override this if you need to read rules in from a binary stream
readGeneFromString(String, EvolutionState) - Method in class ec.vector.Gene
Reads a gene from a string, which may contain a final '\n'.
readGenotype(EvolutionState, DataInput) - Method in class ec.gp.GPIndividual
Overridden for the GPIndividual genotype.
readGenotype(EvolutionState, DataInput) - Method in class ec.Individual
Reads in the genotypic information from a DataInput, erasing the previous genotype of this Individual.
readGenotype(EvolutionState, DataInput) - Method in class ec.rule.RuleIndividual
Overridden for the RuleIndividual genotype.
readGenotype(EvolutionState, DataInput) - Method in class ec.vector.BitVectorIndividual
 
readGenotype(EvolutionState, DataInput) - Method in class ec.vector.ByteVectorIndividual
 
readGenotype(EvolutionState, DataInput) - Method in class ec.vector.DoubleVectorIndividual
 
readGenotype(EvolutionState, DataInput) - Method in class ec.vector.FloatVectorIndividual
 
readGenotype(EvolutionState, DataInput) - Method in class ec.vector.GeneVectorIndividual
 
readGenotype(EvolutionState, DataInput) - Method in class ec.vector.IntegerVectorIndividual
 
readGenotype(EvolutionState, DataInput) - Method in class ec.vector.LongVectorIndividual
 
readGenotype(EvolutionState, DataInput) - Method in class ec.vector.ShortVectorIndividual
 
readIndividual(EvolutionState, LineNumberReader) - Method in class ec.Individual
Reads in the individual from a form printed by printIndividual(), erasing the previous information stored in this Individual.
readIndividual(EvolutionState, DataInput) - Method in class ec.Individual
Reads the binary form of an individual from a DataInput, erasing the previous information stored in this Individual.
readIndividual(EvolutionState, LineNumberReader) - Method in class ec.pso.Particle
 
readIndividual(EvolutionState, DataInput) - Method in class ec.pso.Particle
 
readIntegerWithPreamble(String, EvolutionState, LineNumberReader) - Static method in class ec.util.Code
Finds the next nonblank line, skips past an expected preamble, and reads in an integer if there is one, and returns it.
readLongWithPreamble(String, EvolutionState, LineNumberReader) - Static method in class ec.util.Code
Finds the next nonblank line, skips past an expected preamble, and reads in a long if there is one, and returns it.
readNode(EvolutionState, DataInput) - Method in class ec.gp.ADF
 
readNode(EvolutionState, DataInput) - Method in class ec.gp.ADFArgument
 
readNode(EvolutionState, DataInput) - Method in class ec.gp.ERC
To successfully read from a DataOutput, you must override this to read your specific ERC data in.
readNode(DecodeReturn) - Method in class ec.gp.ERC
 
readNode(DecodeReturn) - Method in class ec.gp.GPNode
Reads the node symbol, advancing the DecodeReturn to the first character in the string beyond the node symbol, and returns a new, empty GPNode of the appropriate class representing that symbol, else null if the node symbol is not of the correct type for your GPNode class.
readNode(EvolutionState, DataInput) - Method in class ec.gp.GPNode
Override this to read any additional node-specific information from dataInput besides: the number of arguments, the specific node class, the children, and the parent.
readPopulation(EvolutionState, LineNumberReader) - Method in class ec.Population
Reads a population from the format generated by printPopulation(....).
readPopulation(EvolutionState, DataInput) - Method in class ec.Population
Reads a population in binary form, from the format generated by writePopulation(...).
readRootedTree(EvolutionState, DataInput, GPType, GPFunctionSet, GPNodeParent, int) - Static method in class ec.gp.GPNode
 
readRootedTree(int, DecodeReturn, GPType, GPFunctionSet, GPNodeParent, int, EvolutionState) - Static method in class ec.gp.GPNode
Reads the node and its children from the form printed out by printRootedTree.
readRule(EvolutionState, LineNumberReader) - Method in class ec.rule.Rule
Reads a rule printed by printRule(...).
readRule(EvolutionState, DataInput) - Method in class ec.rule.Rule
Override this if you need to read rules in from a binary stream
readRuleFromString(String, EvolutionState) - Method in class ec.rule.Rule
Reads a rule from a string, which may contain a final '\n'.
readRuleSet(EvolutionState, LineNumberReader) - Method in class ec.rule.RuleSet
Reads the rule set
readRuleSet(EvolutionState, DataInput) - Method in class ec.rule.RuleSet
Reads RuleSets in from a binary stream
readShortWithPreamble(String, EvolutionState, LineNumberReader) - Static method in class ec.util.Code
Finds the next nonblank line, skips past an expected preamble, and reads in a short if there is one, and returns it.
readState(DataInputStream) - Method in class ec.util.MersenneTwister
Reads the entire state of the MersenneTwister RNG from the stream
readState(DataInputStream) - Method in class ec.util.MersenneTwisterFast
Reads the entire state of the MersenneTwister RNG from the stream
readStringWithPreamble(String, EvolutionState, LineNumberReader) - Static method in class ec.util.Code
Finds the next nonblank line, skips past an expected preamble, and reads in a string if there is one, and returns it.
readSubpopulation(EvolutionState, LineNumberReader) - Method in class ec.Subpopulation
Reads a subpopulation from the format generated by printSubpopulation(....).
readSubpopulation(EvolutionState, DataInput) - Method in class ec.Subpopulation
Reads a subpopulation in binary form, from the format generated by writeSubpopulation(...).
readTree(EvolutionState, LineNumberReader) - Method in class ec.gp.GPTree
Reads in the tree from a form printed by printTree.
readTree(EvolutionState, DataInput) - Method in class ec.gp.GPTree
 
readTrials(EvolutionState, DataInput) - Method in class ec.Fitness
Reads trials in from DataInput.
receiveAdditionalData(EvolutionState, DataInputStream) - Method in class ec.eval.MasterProblem
This method is called on a MasterProblem by the Slave.
reduceBy - Variable in class ec.simple.SimpleBreeder
 
reevaluateElites - Variable in class ec.simple.SimpleBreeder
 
reevaluateIndividuals - Variable in class ec.eval.MetaProblem
Whether to reevaluate individuals if and when they appear for evaluation in the future.
ReflectedObject - Class in ec.util
 
ReflectedObject(Object) - Constructor for class ec.util.ReflectedObject
 
ReflectedObject(Object, Class, String, Object) - Constructor for class ec.util.ReflectedObject
 
registerSlave(EvolutionState, String, Socket, DataOutputStream, DataInputStream) - Method in class ec.eval.SlaveMonitor
Registers a new slave with the monitor.
RehangPipeline - Class in ec.gp.breed
RehangPipeline picks a nonterminal node other than the root and "rehangs" it as a new root.
RehangPipeline() - Constructor for class ec.gp.breed.RehangPipeline
 
reinitializeContacts(EvolutionState) - Method in class ec.eval.MasterProblem
Reinitialize contacts with the slaves
reinitializeContacts(EvolutionState) - Method in class ec.Evaluator
Called to reinitialize remote evaluation network contacts when the run is restarted from checkpoint.
reinitializeContacts(EvolutionState) - Method in class ec.exchange.InterPopulationExchange
Initializes contacts with other processes, if that's what you're doing.
reinitializeContacts(EvolutionState) - Method in class ec.exchange.IslandExchange
Initializes contacts with other processes, if that's what you're doing.
reinitializeContacts(EvolutionState) - Method in class ec.Exchanger
Initializes contacts with other processes, if that's what you're doing.
reinitializeContacts(EvolutionState) - Method in class ec.gp.ge.GEProblem
 
reinitializeContacts(EvolutionState) - Method in class ec.Problem
Called to reinitialize remote evaluation network contacts when the run is restarted from checkpoint.
reinitializeContacts(EvolutionState) - Method in class ec.simple.SimpleExchanger
Doesn't do anything.
remove(Parameter) - Method in class ec.util.ParameterDatabase
Removes a parameter from the topmost database.
removeDeeply(Parameter) - Method in class ec.util.ParameterDatabase
Deprecated.
You shouldn't modify parent databases
removeLog(int) - Method in class ec.util.Output
Removes the given log.
removeRandomRule(EvolutionState, int) - Method in class ec.rule.RuleSet
Removes a randomly-chosen rule from the rule set and returns it.
removeRule(int) - Method in class ec.rule.RuleSet
Removes a rule from the rule set and returns it.
removeTreeModelListener(TreeModelListener) - Method in class ec.util.ReflectedObject
 
reopen() - Method in class ec.util.Log
Forces a file-based log to reopen, erasing its previous contents.
reopen(Log) - Method in class ec.util.LogRestarter
 
reopen(int) - Method in class ec.util.Output
Forces a file-based log to reopen, erasing its previous contents.
reopen(int[]) - Method in class ec.util.Output
Forces one or more file-based logs to reopen, erasing their previous contents.
replacementProbability - Variable in class ec.steadystate.SteadyStateEvolutionState
When a new individual arrives, with what probability should it directly replace the existing "marked for death" individual, as opposed to only replacing it if it's superior?
replaceWith(GPNode) - Method in class ec.gp.GPNode
Replaces the node with another node in its position in the tree.
repostAnnouncementsOnRestart - Variable in class ec.util.Log
Should the log repost all announcements on restart
reproduce(int, int, int, Individual[], EvolutionState, int, boolean) - Method in class ec.BreedingPipeline
Performs direct cloning of n individuals.
ReproductionPipeline - Class in ec.breed
ReproductionPipeline is a BreedingPipeline which simply makes a copy of the individuals it recieves from its source.
ReproductionPipeline() - Constructor for class ec.breed.ReproductionPipeline
 
reserve - Variable in class ec.gp.ADFStack
 
reset() - Method in class ec.gp.ADFStack
Pops off all items on the stack and the substack.
reset() - Method in interface ec.gp.GPNodeSelector
Resets the Node Selector before a new series of pickNode() if need be.
reset() - Method in class ec.gp.koza.KozaNodeSelector
 
reset(EvolutionState, int) - Method in class ec.pso.Particle
 
reset(EvolutionState, int) - Method in class ec.rule.Rule
The reset method randomly reinitializes the rule.
reset(EvolutionState, int) - Method in class ec.rule.RuleIndividual
 
reset(EvolutionState, int) - Method in class ec.rule.RuleSet
A reset method for randomly reinitializing the RuleSet
reset() - Method in class ec.util.DataPipe
Reset the buffer.
reset(String) - Method in class ec.util.DecodeReturn
Use this to reuse your DecodeReturn for another string
reset(String, int) - Method in class ec.util.DecodeReturn
Use this to reuse your DecodeReturn for another string
reset(EvolutionState, int) - Method in class ec.vector.BitVectorIndividual
Initializes the individual by randomly flipping the bits
reset(EvolutionState, int) - Method in class ec.vector.ByteVectorIndividual
Initializes the individual by randomly choosing Integers uniformly from mingene to maxgene.
reset(EvolutionState, int) - Method in class ec.vector.DoubleVectorIndividual
Initializes the individual by randomly choosing doubles uniformly from mingene to maxgene.
reset(EvolutionState, int) - Method in class ec.vector.FloatVectorIndividual
Initializes the individual by randomly choosing floats uniformly from mingene to maxgene.
reset(EvolutionState, int) - Method in class ec.vector.Gene
The reset method randomly reinitializes the gene.
reset(EvolutionState, int) - Method in class ec.vector.GeneVectorIndividual
Initializes the individual by calling reset(...) on each gene.
reset(EvolutionState, int) - Method in class ec.vector.IntegerVectorIndividual
Initializes the individual by randomly choosing Integers uniformly from mingene to maxgene.
reset(EvolutionState, int) - Method in class ec.vector.LongVectorIndividual
Initializes the individual by randomly choosing Longs uniformly from mingene to maxgene.
reset(EvolutionState, int) - Method in class ec.vector.ShortVectorIndividual
Initializes the individual by randomly choosing Integers uniformly from mingene to maxgene.
reset(EvolutionState, int) - Method in class ec.vector.VectorIndividual
Initializes the individual.
reset(EvolutionState, int, int) - Method in class ec.vector.VectorIndividual
Initializes the individual to a new size.
resetEachGeneration - Variable in class ec.breed.UniquePipeline
 
resetFromCheckpoint() - Method in class ec.EvolutionState
This method is called after a checkpoint is restored from but before the run starts up again.
resetInterpreter(Interpreter) - Method in class ec.gp.push.PushProblem
Clears the Interpreter's stacks so it is ready to execute another program.
resetMaxSize - Variable in class ec.rule.RuleSetConstraints
 
resetMinSize - Variable in class ec.rule.RuleSetConstraints
 
resetNode(EvolutionState, int) - Method in class ec.gp.ERC
Remember to override this to randomize your ERC after it has been cloned.
resetNode(EvolutionState, int) - Method in class ec.gp.GPNode
Starts a node in a new life immediately after it has been cloned.
resetNode(EvolutionState, int) - Method in class ec.gp.push.Terminal
 
resize(int) - Method in class ec.Subpopulation
Resizes the Subpopulation to a new size.
restart() - Method in class ec.util.Log
Restarts a log after a system restart from checkpoint.
restart(Log) - Method in class ec.util.LogRestarter
 
restart() - Method in class ec.util.Output
 
restarter - Variable in class ec.util.Log
The log's restarter
restoreFromCheckpoint(String) - Static method in class ec.util.Checkpoint
Returns an EvolutionState object read from a checkpoint file whose filename is checkpoint
retries - Variable in class ec.de.DEBreeder
 
returntype - Variable in class ec.gp.GPNodeConstraints
The return type for a GPNode
reverseMap(EvolutionState, GPIndividual, int) - Method in class ec.gp.ge.GESpecies
Reverse of the original map() function, takes a GPIndividual and returns a corresponding GEIndividual; The GPIndividual may contain more than one trees, and such cases are handled accordingly, see the 3rd bullet below -- NOTE: This reverse mapping is only valid for S-expression trees ; This procedure supports ERC for the current population (not for population /subpopulation from other islands); However, that could be done by merging all ERCBanks from all the sub-populations but that is not done yet ; Support for the ADF's are done as follows -- suppose in one GPIndividual, there are N trees -- T1, T2, ,,, Tn and each of them follows n different grammars G1, G2, ,,, Gn respectively; now if they are reverse-mapped to int arrays, there will be n int arrays A1[], A2[], ,,, An[]; and suppose the i-th tree Ti is reverse mapped to int array Ai[] and morevoer Ai[] is the longest among all the arrays (Bj[]s); so Bi[] is sufficient to build all ADF trees Tjs.
ROOT_D - Variable in class ec.gp.build.Uniform
 
ROOT_D_ZERO - Variable in class ec.gp.build.Uniform
 
rootedTreeEquals(GPNode) - Method in class ec.gp.GPNode
Returns true if the two rooted trees are "genetically" equal, though they may have different parents.
rootedTreeHashCode() - Method in class ec.gp.GPNode
Returns a hashcode associated with all the nodes in the tree.
rootParent() - Method in class ec.gp.GPNode
Returns the root ancestor of this node.
rootProbability - Variable in class ec.gp.koza.KozaNodeSelector
The probability the root must be chosen
RPAREN - Static variable in class ec.gp.ge.GrammarParser
 
RULE - Static variable in class ec.gp.ge.GrammarParser
 
Rule - Class in ec.rule
Rule is an abstract class for describing rules.
Rule() - Constructor for class ec.rule.Rule
 
ruleConstraintRepository - Variable in class ec.rule.RuleInitializer
 
RuleConstraints - Class in ec.rule
RuleConstraints is a class for constraints applicable to rules.
RuleConstraints() - Constructor for class ec.rule.RuleConstraints
 
ruleConstraints - Variable in class ec.rule.RuleInitializer
 
RuleCrossoverPipeline - Class in ec.rule.breed
RuleCrossoverPipeline is a BreedingPipeline which implements a simple default crossover for RuleIndividuals.
RuleCrossoverPipeline() - Constructor for class ec.rule.breed.RuleCrossoverPipeline
 
ruleCrossProbability - Variable in class ec.rule.breed.RuleCrossoverPipeline
What is the probability of a rule migrating?
RuleDefaults - Class in ec.rule
A static class that returns the base for "default values" which rule-style operators use, rather than making the user specify them all on a per- species basis.
RuleDefaults() - Constructor for class ec.rule.RuleDefaults
 
RuleIndividual - Class in ec.rule
RuleIndividual is an Individual with an array of RuleSets, each of which is a set of Rules.
RuleIndividual() - Constructor for class ec.rule.RuleIndividual
 
RuleInitializer - Class in ec.rule
A SimpleInitializer subclass designed to be used with rules.
RuleInitializer() - Constructor for class ec.rule.RuleInitializer
 
RuleMutationPipeline - Class in ec.rule.breed
RuleMutationPipeline is a BreedingPipeline which implements a simple default Mutation for RuleIndividuals.
RuleMutationPipeline() - Constructor for class ec.rule.breed.RuleMutationPipeline
 
rulePrototype - Variable in class ec.rule.RuleSetConstraints
The prototype of the Rule that will be used in the RuleSet (the RuleSet contains only rules with the specified prototype).
rules - Variable in class ec.rule.RuleSet
The rules in the rule set
RuleSet - Class in ec.rule
RuleSet is a set of Rules, implemented straightforwardly as an arbitrary-length array of Rules.
RuleSet() - Constructor for class ec.rule.RuleSet
 
ruleSetConstraintRepository - Variable in class ec.rule.RuleInitializer
 
ruleSetConstraints - Variable in class ec.rule.RuleInitializer
 
RuleSetConstraints - Class in ec.rule
RuleSetConstraints is an basic class for constraints applicable to rulesets.
RuleSetConstraints() - Constructor for class ec.rule.RuleSetConstraints
 
rulesets - Variable in class ec.rule.RuleIndividual
The individual's rulesets.
RuleSpecies - Class in ec.rule
RuleSpecies is a simple individual which is suitable as a species for rule sets subpopulations.
RuleSpecies() - Constructor for class ec.rule.RuleSpecies
 
run(int) - Method in class ec.EvolutionState
Starts the run.
runComplete(EvolutionState) - Method in class ec.coevolve.CompetitiveEvaluator
 
runComplete(EvolutionState) - Method in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
runComplete(EvolutionState) - Method in class ec.Evaluator
Returns true if an ideal individual has been found or some other run result has shortcircuited the run so that it should end prematurely right now.
runComplete(EvolutionState) - Method in class ec.exchange.InterPopulationExchange
Called after preBreedingExchangePopulation(...) to evaluate whether or not the exchanger wishes the run to shut down (with ec.EvolutionState.R_FAILURE).
runComplete(EvolutionState) - Method in class ec.exchange.IslandExchange
Called after preBreedingExchangePopulation(...) to evaluate whether or not the exchanger wishes the run to shut down (with ec.EvolutionState.R_FAILURE).
runComplete(EvolutionState) - Method in class ec.Exchanger
Called after preBreedingExchangePopulation(...) to evaluate whether or not the exchanger wishes the run to shut down (with ec.EvolutionState.R_FAILURE) -- returns a String (which will be printed out as a message) if the exchanger wants to shut down, else returns null if the exchanger does NOT want to shut down.
runComplete(EvolutionState) - Method in class ec.simple.SimpleEvaluator
The SimpleEvaluator determines that a run is complete by asking each individual in each population if he's optimal; if he finds an individual somewhere that's optimal, he signals that the run is complete.
runComplete(EvolutionState) - Method in class ec.simple.SimpleExchanger
Always returns null
runComplete(EvolutionState, Individual) - Method in class ec.steadystate.SteadyStateEvaluator
The SimpleEvaluator determines that a run is complete by asking each individual in each population if he's optimal; if he finds an individual somewhere that's optimal, he signals that the run is complete.
runEvolve - Static variable in class ec.eval.Slave
 
runs - Variable in class ec.eval.MetaProblem
The number of base-level evolutionary runs to perform to evaluate an individual.
runTime - Static variable in class ec.eval.Slave
 
runtimeArguments - Variable in class ec.EvolutionState
The original runtime arguments passed to the Java process.

S

s - Variable in class ec.util.DecodeReturn
Stores strings, error messages
scanAt(int) - Method in class ec.util.DecodeReturn
Sets the DecodeReturn to begin scanning at _pos, which should be valid.
scheduleJobForEvaluation(EvolutionState, Job) - Method in class ec.eval.SlaveMonitor
Schedules a job for execution on one of the available slaves.
SEED_INCREMENT - Static variable in class ec.eval.SlaveMonitor
 
SelectDefaults - Class in ec.select
 
SelectDefaults() - Constructor for class ec.select.SelectDefaults
 
SelectionMethod - Class in ec
A SelectionMethod is a BreedingSource which provides direct IMMUTABLE pointers to original individuals in an old population, not fresh mutable copies.
SelectionMethod() - Constructor for class ec.SelectionMethod
 
selects - Variable in class ec.select.MultiSelection
The MultiSelection's individuals
sendAdditionalData(EvolutionState, DataOutputStream) - Method in class ec.eval.MasterProblem
This method is called from the SlaveMonitor's accept() thread to optionally send additional data to the Slave via the dataOut stream.
sequentialBreeding - Variable in class ec.simple.SimpleBreeder
 
seriesCollection - Variable in class ec.display.chart.XYSeriesChartStatistics
 
serverAddress - Variable in class ec.exchange.IslandExchange
The address of the server
serverPort - Variable in class ec.exchange.IslandExchange
The port of the server
serverThread - Variable in class ec.exchange.IslandExchange
The thread of the server (is different than null only for the island with the server)
servSock - Variable in class ec.eval.SlaveMonitor
The socket where slaves connect.
set - Variable in class ec.breed.UniquePipeline
 
set(Parameter, String) - Method in class ec.util.ParameterDatabase
Sets a parameter in the topmost database to a given value, trimmed of whitespace.
SET - Static variable in class ec.util.ParameterDatabaseEvent
 
setCheckpoint(EvolutionState) - Static method in class ec.util.Checkpoint
Writes the evolution state out to a file.
setContext(Individual[], int) - Method in class ec.Fitness
 
setContext(Individual[]) - Method in class ec.Fitness
 
setFilePrefix(String) - Method in class ec.util.Output
 
setFitness(EvolutionState, double) - Method in class ec.gp.koza.KozaFitness
Deprecated. 
setFitness(EvolutionState, double) - Method in class ec.simple.SimpleFitness
Deprecated. 
setFitness(EvolutionState, double, boolean) - Method in class ec.simple.SimpleFitness
 
setFlush(boolean) - Method in class ec.util.Output
Deprecated.
We now always flush
setGenome(Object) - Method in class ec.pso.Particle
 
setGenome(Object) - Method in class ec.vector.BitVectorIndividual
 
setGenome(Object) - Method in class ec.vector.ByteVectorIndividual
 
setGenome(Object) - Method in class ec.vector.DoubleVectorIndividual
 
setGenome(Object) - Method in class ec.vector.FloatVectorIndividual
 
setGenome(Object) - Method in class ec.vector.GeneVectorIndividual
 
setGenome(Object) - Method in class ec.vector.IntegerVectorIndividual
 
setGenome(Object) - Method in class ec.vector.LongVectorIndividual
 
setGenome(Object) - Method in class ec.vector.ShortVectorIndividual
 
setGenome(Object) - Method in class ec.vector.VectorIndividual
Sets the gene array.
setGenomeLength(int) - Method in class ec.pso.Particle
 
setGenomeLength(int) - Method in class ec.vector.BitVectorIndividual
 
setGenomeLength(int) - Method in class ec.vector.ByteVectorIndividual
 
setGenomeLength(int) - Method in class ec.vector.DoubleVectorIndividual
 
setGenomeLength(int) - Method in class ec.vector.FloatVectorIndividual
 
setGenomeLength(int) - Method in class ec.vector.GeneVectorIndividual
 
setGenomeLength(int) - Method in class ec.vector.IntegerVectorIndividual
 
setGenomeLength(int) - Method in class ec.vector.LongVectorIndividual
 
setGenomeLength(int) - Method in class ec.vector.ShortVectorIndividual
 
setGenomeLength(int) - Method in class ec.vector.VectorIndividual
Sets the genome length.
setIndex(int, int) - Method in interface ec.spatial.Space
Input: a threadnumber (either for evaluation or for breeding), and an index in a subpopulation (the index in the subpopulation is, of course, associated with a location in the space) Functionality: stores the index and the threadnumber for further accesses to the getIndexRandomNeighbor method.
setIndex(int, int) - Method in class ec.spatial.Spatial1DSubpopulation
 
setMinimumFitness(EvolutionState, int, Individual) - Method in class ec.parsimony.TarpeianStatistics
Sets the fitness of an individual to the minimum fitness possible.
setObjectives(EvolutionState, double[]) - Method in class ec.multiobjective.MultiObjectiveFitness
 
setProbability(Object, double) - Method in class ec.BreedingSource
 
setProbability(Object, float) - Method in interface ec.util.RandomChoiceChooser
Sets obj's probability
setProbability(Object, double) - Method in interface ec.util.RandomChoiceChooserD
Sets obj's probability
setSeed(String, int, int) - Method in class ec.display.ControlPanel
 
setSeed(long) - Method in class ec.util.MersenneTwister
Initalize the pseudo random number generator.
setSeed(int[]) - Method in class ec.util.MersenneTwister
Sets the seed of the MersenneTwister using an array of integers.
setSeed(long) - Method in class ec.util.MersenneTwisterFast
Initalize the pseudo random number generator.
setSeed(int[]) - Method in class ec.util.MersenneTwisterFast
Sets the seed of the MersenneTwister using an array of integers.
setStandardizedFitness(EvolutionState, double) - Method in class ec.gp.koza.KozaFitness
Set the standardized fitness in the half-open interval [0.0,infinity) which is defined (NOTE: DIFFERENT FROM fitness()!!!) as 0.0 being the IDEAL and infinity being worse than the worst possible.
setStore(boolean) - Method in class ec.util.Output
Sets whether the Output stores its announcements.
setThrowsErrors(boolean) - Method in class ec.util.Output
 
setToBestOf(EvolutionState, Fitness[]) - Method in class ec.Fitness
Sets the fitness to be the same value as the best of the provided fitnesses.
setToBestOf(EvolutionState, Fitness[]) - Method in class ec.multiobjective.MultiObjectiveFitness
 
setToLambda(Population, EvolutionState) - Method in class ec.es.MuCommaLambdaBreeder
Sets all subpopulations in pop to the expected lambda size.
setToMeanOf(EvolutionState, Fitness[]) - Method in class ec.Fitness
Sets the fitness to be the same value as the mean of the provided fitnesses.
setToMeanOf(EvolutionState, Fitness[]) - Method in class ec.gp.koza.KozaFitness
 
setToMeanOf(EvolutionState, Fitness[]) - Method in class ec.multiobjective.MultiObjectiveFitness
 
setToMeanOf(EvolutionState, Fitness[]) - Method in class ec.simple.SimpleFitness
 
setToMedianOf(EvolutionState, Fitness[]) - Method in class ec.Fitness
Sets the fitness to be the median of the provided fitnesses.
setToMedianOf(EvolutionState, Fitness[]) - Method in class ec.multiobjective.MultiObjectiveFitness
 
setToMuPlusLambda(Population, EvolutionState) - Method in class ec.es.MuPlusLambdaBreeder
Sets all subpopulations in pop to the expected mu+lambda size.
setup(EvolutionState, Parameter) - Method in class ec.breed.BufferedBreedingPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.breed.CheckingPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.breed.ForceBreedingPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.breed.GenerationSwitchPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.breed.InitializationPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.breed.MultiBreedingPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.breed.ReproductionPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.breed.UniquePipeline
 
setup(EvolutionState, Parameter) - Method in class ec.BreedingPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.BreedingSource
Sets up the BreedingPipeline.
setup(EvolutionState, Parameter) - Method in class ec.coevolve.CompetitiveEvaluator
 
setup(EvolutionState, Parameter) - Method in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
setup(EvolutionState, Parameter) - Method in class ec.de.Best1BinDEBreeder
 
setup(EvolutionState, Parameter) - Method in class ec.de.DEBreeder
 
setup(EvolutionState, Parameter) - Method in class ec.de.Rand1EitherOrDEBreeder
 
setup(EvolutionState, Parameter) - Method in class ec.display.chart.BarChartStatistics
 
setup(EvolutionState, Parameter) - Method in class ec.display.chart.ChartableStatistics
 
setup(EvolutionState, Parameter) - Method in class ec.display.chart.XYSeriesChartStatistics
 
setup(EvolutionState, Parameter) - Method in class ec.display.portrayal.SimpleIndividualPortrayal
 
setup(EvolutionState, Parameter) - Method in class ec.display.StatisticsChartPane
 
setup(EvolutionState, Parameter) - Method in class ec.display.SubpopulationPanel
 
setup(EvolutionState, Parameter) - Method in class ec.es.MuCommaLambdaBreeder
 
setup(EvolutionState, Parameter) - Method in class ec.eval.MasterProblem
 
setup(EvolutionState, Parameter) - Method in class ec.eval.MetaProblem
 
setup(EvolutionState, Parameter) - Method in class ec.Evaluator
 
setup(EvolutionState, Parameter) - Method in class ec.EvolutionState
Unlike for other setup() methods, ignore the base; it will always be null.
setup(EvolutionState, Parameter) - Method in class ec.evolve.RandomRestarts
Gets the clock ticking.
setup(EvolutionState, Parameter) - Method in class ec.exchange.InterPopulationExchange
 
setup(EvolutionState, Parameter) - Method in class ec.exchange.IslandExchange
 
setup(EvolutionState, Parameter) - Method in class ec.Fitness
 
setup(EvolutionState, Parameter) - Method in class ec.gp.ADF
 
setup(EvolutionState, Parameter) - Method in class ec.gp.ADFArgument
 
setup(EvolutionState, Parameter) - Method in class ec.gp.ADFContext
 
setup(EvolutionState, Parameter) - Method in class ec.gp.ADFStack
 
setup(EvolutionState, Parameter) - Method in class ec.gp.breed.InternalCrossoverPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.gp.breed.MutateAllNodesPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.gp.breed.MutateDemotePipeline
 
setup(EvolutionState, Parameter) - Method in class ec.gp.breed.MutateERCPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.gp.breed.MutateOneNodePipeline
 
setup(EvolutionState, Parameter) - Method in class ec.gp.breed.MutatePromotePipeline
 
setup(EvolutionState, Parameter) - Method in class ec.gp.breed.MutateSwapPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.gp.breed.RehangPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.gp.breed.SizeFairCrossoverPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.gp.build.PTC1
 
setup(EvolutionState, Parameter) - Method in class ec.gp.build.PTC2
 
setup(EvolutionState, Parameter) - Method in class ec.gp.build.PTCFunctionSet
 
setup(EvolutionState, Parameter) - Method in class ec.gp.build.RandomBranch
 
setup(EvolutionState, Parameter) - Method in class ec.gp.build.RandTree
 
setup(EvolutionState, Parameter) - Method in class ec.gp.build.Uniform
 
setup(EvolutionState, Parameter) - Method in class ec.gp.ge.GEProblem
 
setup(EvolutionState, Parameter) - Method in class ec.gp.ge.GESpecies
 
setup(EvolutionState, Parameter) - Method in class ec.gp.ge.GrammarParser
 
setup(EvolutionState, Parameter) - Method in class ec.gp.GPData
 
setup(EvolutionState, Parameter) - Method in class ec.gp.GPFunctionSet
Must be done after GPType and GPNodeConstraints have been set up
setup(EvolutionState, Parameter) - Method in class ec.gp.GPIndividual
Sets up a prototypical GPIndividual with those features which it shares with other GPIndividuals in its species, and nothing more.
setup(EvolutionState, Parameter) - Method in class ec.gp.GPInitializer
 
setup(EvolutionState, Parameter) - Method in class ec.gp.GPNode
Sets up a prototypical GPNode with those features all nodes of that prototype share, and nothing more.
setup(EvolutionState, Parameter) - Method in class ec.gp.GPNodeBuilder
 
setup(EvolutionState, Parameter) - Method in class ec.gp.GPNodeConstraints
This must be called after the GPTypes have been set up.
setup(EvolutionState, Parameter) - Method in class ec.gp.GPProblem
 
setup(EvolutionState, Parameter) - Method in class ec.gp.GPSetType
 
setup(EvolutionState, Parameter) - Method in class ec.gp.GPSpecies
 
setup(EvolutionState, Parameter) - Method in class ec.gp.GPTree
Sets up a prototypical GPTree with those features it shares with other GPTrees in its position in its GPIndividual, and nothhing more.
setup(EvolutionState, Parameter) - Method in class ec.gp.GPTreeConstraints
This must be called after the GPTypes and GPFunctionSets have been set up.
setup(EvolutionState, Parameter) - Method in class ec.gp.GPType
 
setup(EvolutionState, Parameter) - Method in class ec.gp.koza.CrossoverPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.gp.koza.HalfBuilder
 
setup(EvolutionState, Parameter) - Method in class ec.gp.koza.KozaBuilder
 
setup(EvolutionState, Parameter) - Method in class ec.gp.koza.KozaFitness
 
setup(EvolutionState, Parameter) - Method in class ec.gp.koza.KozaNodeSelector
 
setup(EvolutionState, Parameter) - Method in class ec.gp.koza.KozaShortStatistics
 
setup(EvolutionState, Parameter) - Method in class ec.gp.koza.MutationPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.gp.push.PushBuilder
 
setup(EvolutionState, Parameter) - Method in class ec.gp.push.PushInstruction
 
setup(EvolutionState, Parameter) - Method in class ec.gp.push.Terminal
 
setup(EvolutionState, Parameter) - Method in class ec.Individual
This should be used to set up only those things which you share in common with all other individuals in your species; individual-specific items which make you you should be filled in by Species.newIndividual(...), and modified by breeders.
setup(EvolutionState, Parameter) - Method in class ec.multiobjective.MultiObjectiveFitness
Sets up.
setup(EvolutionState, Parameter) - Method in class ec.multiobjective.MultiObjectiveStatistics
 
setup(EvolutionState, Parameter) - Method in class ec.multiobjective.nsga2.NSGA2Breeder
 
setup(EvolutionState, Parameter) - Method in class ec.multiobjective.nsga2.NSGA2Evaluator
 
setup(EvolutionState, Parameter) - Method in class ec.multiobjective.spea2.SPEA2Breeder
 
setup(EvolutionState, Parameter) - Method in class ec.parsimony.BucketTournamentSelection
 
setup(EvolutionState, Parameter) - Method in class ec.parsimony.DoubleTournamentSelection
 
setup(EvolutionState, Parameter) - Method in class ec.parsimony.ProportionalTournamentSelection
 
setup(EvolutionState, Parameter) - Method in class ec.parsimony.RatioBucketTournamentSelection
 
setup(EvolutionState, Parameter) - Method in class ec.parsimony.TarpeianStatistics
 
setup(EvolutionState, Parameter) - Method in class ec.Population
 
setup(EvolutionState, Parameter) - Method in class ec.Problem
 
setup(EvolutionState, Parameter) - Method in interface ec.Prototype
Sets up the object by reading it from the parameters stored in state, built off of the parameter base base.
setup(EvolutionState, Parameter) - Method in class ec.pso.Particle
 
setup(EvolutionState, Parameter) - Method in class ec.pso.PSOBreeder
 
setup(EvolutionState, Parameter) - Method in class ec.rule.breed.RuleCrossoverPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.rule.Rule
 
setup(EvolutionState, Parameter) - Method in class ec.rule.RuleConstraints
 
setup(EvolutionState, Parameter) - Method in class ec.rule.RuleIndividual
 
setup(EvolutionState, Parameter) - Method in class ec.rule.RuleInitializer
Sets up the RuleConstraints and RuleSetConstraints cliques.
setup(EvolutionState, Parameter) - Method in class ec.rule.RuleSet
 
setup(EvolutionState, Parameter) - Method in class ec.rule.RuleSetConstraints
 
setup(EvolutionState, Parameter) - Method in class ec.rule.RuleSpecies
 
setup(EvolutionState, Parameter) - Method in class ec.select.BestSelection
 
setup(EvolutionState, Parameter) - Method in class ec.select.BoltzmannSelection
 
setup(EvolutionState, Parameter) - Method in class ec.select.GreedyOverselection
 
setup(EvolutionState, Parameter) - Method in class ec.select.MultiSelection
 
setup(EvolutionState, Parameter) - Method in class ec.select.SigmaScalingSelection
 
setup(EvolutionState, Parameter) - Method in class ec.select.SUSSelection
 
setup(EvolutionState, Parameter) - Method in class ec.select.TournamentSelection
 
Setup - Interface in ec
Setup classes are classes which get set up once from user-supplied parameters prior to being used.
setup(EvolutionState, Parameter) - Method in interface ec.Setup
Sets up the object by reading it from the parameters stored in state, built off of the parameter base base.
setup(EvolutionState, Parameter) - Method in class ec.simple.SimpleBreeder
 
setup(EvolutionState, Parameter) - Method in class ec.simple.SimpleEvaluator
 
setup(EvolutionState, Parameter) - Method in class ec.simple.SimpleExchanger
 
setup(EvolutionState, Parameter) - Method in class ec.simple.SimpleFinisher
 
setup(EvolutionState, Parameter) - Method in class ec.simple.SimpleFitness
 
setup(EvolutionState, Parameter) - Method in class ec.simple.SimpleInitializer
 
setup(EvolutionState, Parameter) - Method in class ec.simple.SimpleShortStatistics
 
setup(EvolutionState, Parameter) - Method in class ec.simple.SimpleStatistics
 
setup(EvolutionState, Parameter) - Method in class ec.spatial.Spatial1DSubpopulation
Read additional parameters for the spatially-embedded subpopulation.
setup(EvolutionState, Parameter) - Method in class ec.spatial.SpatialBreeder
 
setup(EvolutionState, Parameter) - Method in class ec.spatial.SpatialTournamentSelection
 
setup(EvolutionState, Parameter) - Method in class ec.Species
The default version of setup(...) loads requested pipelines and calls setup(...) on them and normalizes their probabilities.
setup(EvolutionState, Parameter) - Method in class ec.Statistics
 
setup(EvolutionState, Parameter) - Method in class ec.steadystate.SteadyStateBreeder
 
setup(EvolutionState, Parameter) - Method in class ec.steadystate.SteadyStateEvaluator
 
setup(EvolutionState, Parameter) - Method in class ec.steadystate.SteadyStateEvolutionState
 
setup(EvolutionState, Parameter) - Method in class ec.Subpopulation
 
setup(EvolutionState, Parameter) - Method in class ec.vector.BitVectorIndividual
 
setup(EvolutionState, Parameter) - Method in class ec.vector.BitVectorSpecies
 
setup(EvolutionState, Parameter) - Method in class ec.vector.breed.ListCrossoverPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.vector.breed.MultipleVectorCrossoverPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.vector.breed.VectorCrossoverPipeline
 
setup(EvolutionState, Parameter) - Method in class ec.vector.ByteVectorIndividual
 
setup(EvolutionState, Parameter) - Method in class ec.vector.DoubleVectorIndividual
 
setup(EvolutionState, Parameter) - Method in class ec.vector.FloatVectorIndividual
 
setup(EvolutionState, Parameter) - Method in class ec.vector.FloatVectorSpecies
 
setup(EvolutionState, Parameter) - Method in class ec.vector.Gene
 
setup(EvolutionState, Parameter) - Method in class ec.vector.GeneVectorIndividual
 
setup(EvolutionState, Parameter) - Method in class ec.vector.GeneVectorSpecies
 
setup(EvolutionState, Parameter) - Method in class ec.vector.IntegerVectorIndividual
 
setup(EvolutionState, Parameter) - Method in class ec.vector.IntegerVectorSpecies
 
setup(EvolutionState, Parameter) - Method in class ec.vector.LongVectorIndividual
 
setup(EvolutionState, Parameter) - Method in class ec.vector.ShortVectorIndividual
 
setup(EvolutionState, Parameter) - Method in class ec.vector.VectorSpecies
 
setupArities(EvolutionState, GPFunctionSet) - Method in class ec.gp.build.RandTree
 
setupConstraints(EvolutionState, Parameter) - Method in class ec.rule.RuleInitializer
Sets up all the RuleConstraints, loading them from the parameter file.
setupFunctionSets(EvolutionState, Parameter) - Method in class ec.gp.GPInitializer
 
setupGenome(EvolutionState, Parameter) - Method in class ec.vector.VectorSpecies
 
setupNodeConstraints(EvolutionState, Parameter) - Method in class ec.gp.GPInitializer
Sets up all the GPNodeConstraints, loading them from the parameter file.
setupPopulation(EvolutionState, int) - Method in class ec.Initializer
Loads a Population from the parameter file, sets it up, and returns it.
setupPopulation(EvolutionState, int) - Method in class ec.simple.SimpleInitializer
 
setupProbabilities(BreedingSource[]) - Static method in class ec.BreedingSource
Normalizes and arranges the probabilities in sources so that they are usable by pickRandom(...).
setupRuleSetConstraints(EvolutionState, Parameter) - Method in class ec.rule.RuleInitializer
 
setupTreeConstraints(EvolutionState, Parameter) - Method in class ec.gp.GPInitializer
Sets up all the GPTreeConstraints, loading them from the parameter file.
setupTypes(EvolutionState, Parameter) - Method in class ec.gp.GPInitializer
Sets up all the types, loading them from the parameter file.
setVerbosity(int) - Method in class ec.util.Output
Deprecated.
Verbosity no longer has an effect.
setVisibleLeaves(boolean) - Method in class ec.util.ParameterDatabaseTreeModel
 
ShortVectorIndividual - Class in ec.vector
ShortVectorIndividual is a VectorIndividual whose genome is an array of shorts.
ShortVectorIndividual() - Constructor for class ec.vector.ShortVectorIndividual
 
shouldBreedSubpop(EvolutionState, int, int) - Method in class ec.simple.SimpleBreeder
Returns true if we're doing sequential breeding and it's the subpopulation's turn (round robin, one subpopulation per generation).
shouldEvaluateSubpop(EvolutionState, int, int) - Method in class ec.coevolve.MultiPopCoevolutionaryEvaluator
Returns true if the subpopulation should be evaluated.
shuffle(EvolutionState, int[]) - Method in class ec.coevolve.MultiPopCoevolutionaryEvaluator
 
shuffle(GPNode[], EvolutionState, int) - Method in class ec.gp.push.PushBuilder
 
shuffle - Variable in class ec.select.SUSSelection
Should we shuffle first?
shutdown() - Method in class ec.eval.SlaveMonitor
Shuts down the slave monitor (also shuts down all slaves).
SigmaScalingSelection - Class in ec.select
Similar to FitProportionateSelection, but with adjustments to scale up/exaggerate differences in fitness for selection when true fitness values are very close to eachother across the population.
SigmaScalingSelection() - Constructor for class ec.select.SigmaScalingSelection
 
silent - Variable in class ec.util.Log
Should we write to this log at all?
silentFile - Variable in class ec.Statistics
 
silentFront - Variable in class ec.multiobjective.MultiObjectiveStatistics
 
silentPrint - Variable in class ec.Statistics
 
SimpleBreeder - Class in ec.simple
Breeds each subpopulation separately, with no inter-population exchange, and using a generational approach.
SimpleBreeder() - Constructor for class ec.simple.SimpleBreeder
 
SimpleDefaults - Class in ec.simple
 
SimpleDefaults() - Constructor for class ec.simple.SimpleDefaults
 
SimpleEvaluator - Class in ec.simple
The SimpleEvaluator is a simple, non-coevolved generational evaluator which evaluates every single member of every subpopulation individually in its own problem space.
SimpleEvaluator() - Constructor for class ec.simple.SimpleEvaluator
 
SimpleEvolutionState - Class in ec.simple
A SimpleEvolutionState is an EvolutionState which implements a simple form of generational evolution.
SimpleEvolutionState() - Constructor for class ec.simple.SimpleEvolutionState
 
SimpleExchanger - Class in ec.simple
A SimpleExchanger is a default Exchanger which, well, doesn't do anything.
SimpleExchanger() - Constructor for class ec.simple.SimpleExchanger
 
SimpleFinisher - Class in ec.simple
SimpleFinisher is a default Finisher which doesn't do anything.
SimpleFinisher() - Constructor for class ec.simple.SimpleFinisher
 
SimpleFitness - Class in ec.simple
A simple default fitness, consisting of a double floating-point value where fitness A is superior to fitness B if and only if A > B.
SimpleFitness() - Constructor for class ec.simple.SimpleFitness
 
SimpleIndividualPortrayal - Class in ec.display.portrayal
This portrayal uses a text pane to display the results of printIndividualForHumans().
SimpleIndividualPortrayal() - Constructor for class ec.display.portrayal.SimpleIndividualPortrayal
 
SimpleInitializer - Class in ec.simple
SimpleInitializer is a default Initializer which initializes a Population by calling the Population's populate(...) method.
SimpleInitializer() - Constructor for class ec.simple.SimpleInitializer
 
SimpleProblemForm - Interface in ec.simple
SimpleProblemForm is an interface which defines methods for Problems to implement simple, single-individual (non-coevolutionary) evaluation.
SimpleShortStatistics - Class in ec.simple
A Simple-style statistics generator, intended to be easily parseable with awk or other Unix tools.
SimpleShortStatistics() - Constructor for class ec.simple.SimpleShortStatistics
 
SimpleStatistics - Class in ec.simple
A basic Statistics class suitable for simple problem applications.
SimpleStatistics() - Constructor for class ec.simple.SimpleStatistics
 
simulatedBinaryCrossover(MersenneTwisterFast, DoubleVectorIndividual, double) - Method in class ec.vector.DoubleVectorIndividual
 
simulatedBinaryCrossover(MersenneTwisterFast, FloatVectorIndividual, float) - Method in class ec.vector.FloatVectorIndividual
 
Singleton - Interface in ec
A Singleton is a class for which there will be only one instance in the entire course of a run, and which will exist for pretty much the entire run.
size - Variable in class ec.exchange.IslandExchange
how many individuals to send each time
size() - Method in class ec.gp.GPIndividual
Returns the "size" of the individual, namely, the number of nodes in all of its subtrees.
size() - Method in class ec.Individual
Returns the "size" of the individual.
size - Variable in class ec.parsimony.BucketTournamentSelection
Size of the tournament
size - Variable in class ec.parsimony.DoubleTournamentSelection
Size of the tournament
size - Variable in class ec.parsimony.RatioBucketTournamentSelection
Size of the tournament
size() - Method in class ec.rule.RuleIndividual
 
size - Variable in class ec.select.BestSelection
Base size of the tournament; this may change.
size() - Method in class ec.util.DataPipe
Returns the total size of the buffer.
size() - Method in class ec.vector.VectorIndividual
 
size2 - Variable in class ec.parsimony.DoubleTournamentSelection
 
SIZE_OF_BYTE - Static variable in class ec.gp.GPInitializer
 
SIZE_OF_BYTE - Static variable in class ec.gp.GPNodeConstraints
 
SIZE_OF_BYTE - Static variable in class ec.gp.GPTreeConstraints
 
SIZE_OF_BYTE - Static variable in class ec.rule.RuleInitializer
 
sizeDistribution - Variable in class ec.gp.GPNodeBuilder
the maximum possible size -- if unused, it's 0
sizeDistribution - Variable in class ec.rule.RuleSetConstraints
 
SizeFairCrossoverPipeline - Class in ec.gp.breed
SizeFairCrossover works similarly to one written in the paper "Size Fair and Homologous Tree Genetic Programming Crossovers" by Langdon (1998).
SizeFairCrossoverPipeline() - Constructor for class ec.gp.breed.SizeFairCrossoverPipeline
 
Slave - Class in ec.eval
Slave.java
Slave() - Constructor for class ec.eval.Slave
 
SlaveMonitor - Class in ec.eval
SlaveMonitor.java
SlaveMonitor(EvolutionState, boolean, MasterProblem) - Constructor for class ec.eval.SlaveMonitor
Simple constructor that initializes the data structures for keeping track of the state of each slave.
slaveNum - Static variable in class ec.eval.Slave
My unique slave number.
SLEEP_TIME - Static variable in class ec.eval.Slave
How long we sleep in between attempts to connect to the master (in milliseconds).
SLEEP_TIME - Static variable in class ec.exchange.IslandExchange
How long we sleep in between attempts to connect or look for signals
sort(Object, Comparator) - Method in class ec.util.ParameterDatabaseTreeModel
 
SortComparator - Interface in ec.util
The interface for passing objects to ec.util.QuickSort
SortComparatorL - Interface in ec.util
The interface for passing objects to ec.util.QuickSort
sortedFitOver - Variable in class ec.select.GreedyOverselection
 
sortedFitUnder - Variable in class ec.select.GreedyOverselection
 
sortedPop - Variable in class ec.select.BestSelection
Sorted, normalized, totalized fitnesses for the population
sortedPop - Variable in class ec.select.GreedyOverselection
Sorted population -- since I *have* to use an int-sized individual (short gives me only 16K), I might as well just have pointers to the population itself.
sources - Variable in class ec.BreedingPipeline
Array of sources feeding the pipeline
sourcesAreProperForm(SteadyStateEvolutionState) - Method in class ec.BreedingPipeline
 
sourcesAreProperForm(SteadyStateEvolutionState) - Method in class ec.parsimony.BucketTournamentSelection
 
sourcesAreProperForm(SteadyStateEvolutionState) - Method in class ec.parsimony.DoubleTournamentSelection
 
sourcesAreProperForm(SteadyStateEvolutionState) - Method in class ec.parsimony.RatioBucketTournamentSelection
 
sourcesAreProperForm(SteadyStateEvolutionState) - Method in class ec.select.FirstSelection
 
sourcesAreProperForm(SteadyStateEvolutionState) - Method in class ec.select.RandomSelection
 
sourcesAreProperForm(SteadyStateEvolutionState) - Method in class ec.select.TournamentSelection
 
sourcesAreProperForm(SteadyStateEvolutionState, BreedingPipeline[]) - Method in class ec.steadystate.SteadyStateBreeder
Called to check to see if the breeding sources are correct -- if you use this method, you must call state.output.exitIfErrors() immediately afterwards.
sourcesAreProperForm(SteadyStateEvolutionState) - Method in interface ec.steadystate.SteadyStateBSourceForm
Issue an error (not a fatal -- we guarantee that callers of this method will also call exitIfErrors) if any of your sources, or their sources, etc., are not of SteadyStateBSourceForm.
Space - Interface in ec.spatial
In a spatially-embedded EA, the subpopulations of individuals are assumed to be spatially distributed in some sort of space, be it one-dimmensional, two- dimmensional, or whatever else.
sparsity - Variable in class ec.multiobjective.nsga2.NSGA2MultiObjectiveFitness
Sparsity along front rank measure (higher sparsity is better)
Spatial1DSubpopulation - Class in ec.spatial
A Spatial1DSubpopulation is an EC subpopulation that is additionally embedded into a one-dimmensional space.
Spatial1DSubpopulation() - Constructor for class ec.spatial.Spatial1DSubpopulation
 
SpatialBreeder - Class in ec.spatial
A slight modification of the simple breeder for spatially-embedded EAs.
SpatialBreeder() - Constructor for class ec.spatial.SpatialBreeder
 
SpatialDefaults - Class in ec.spatial
 
SpatialDefaults() - Constructor for class ec.spatial.SpatialDefaults
 
SpatialMultiPopCoevolutionaryEvaluator - Class in ec.spatial
SpatialMultiPopCoevolutionaryEvaluator implements a coevolutionary evaluator involving multiple spatially-embedded subpopulations.
SpatialMultiPopCoevolutionaryEvaluator() - Constructor for class ec.spatial.SpatialMultiPopCoevolutionaryEvaluator
 
SpatialTournamentSelection - Class in ec.spatial
A slight modification of the tournament selection procedure for use with spatially-embedded EAs.
SpatialTournamentSelection() - Constructor for class ec.spatial.SpatialTournamentSelection
 
SPEA2_DISTANCE_PREAMBLE - Static variable in class ec.multiobjective.spea2.SPEA2MultiObjectiveFitness
 
SPEA2_FITNESS_PREAMBLE - Static variable in class ec.multiobjective.spea2.SPEA2MultiObjectiveFitness
 
SPEA2_STRENGTH_PREAMBLE - Static variable in class ec.multiobjective.spea2.SPEA2MultiObjectiveFitness
 
SPEA2Breeder - Class in ec.multiobjective.spea2
This subclass of SimpleBreeder overrides the loadElites method to build an archive in the top elites[subpopnum] of each subpopulation.
SPEA2Breeder() - Constructor for class ec.multiobjective.spea2.SPEA2Breeder
 
SPEA2Evaluator - Class in ec.multiobjective.spea2
This subclass of SimpleEvaluator evaluates the population, then computes auxiliary fitness data of each subpopulation.
SPEA2Evaluator() - Constructor for class ec.multiobjective.spea2.SPEA2Evaluator
 
SPEA2MultiObjectiveFitness - Class in ec.multiobjective.spea2
SPEA2MultiObjectiveFitness is a subclass of MultiObjectiveFitness which adds three auxiliary fitness measures used in SPEA2: strength S(i), kthNNDistance D(i), and a final fitness value R(i) + D(i).
SPEA2MultiObjectiveFitness() - Constructor for class ec.multiobjective.spea2.SPEA2MultiObjectiveFitness
 
SPEA2TournamentSelection - Class in ec.multiobjective.spea2
This is a special version of TournamentSelection which restricts the selection to only the archive region (the top 'archiveSize' elements in the subpopulation).
SPEA2TournamentSelection() - Constructor for class ec.multiobjective.spea2.SPEA2TournamentSelection
 
species - Variable in class ec.Individual
The species of the Individual.
Species - Class in ec
Species is a prototype which defines the features for a set of individuals in the population.
Species() - Constructor for class ec.Species
 
species - Variable in class ec.Subpopulation
The species for individuals in this subpopulation.
split(int[], RuleSet[]) - Method in class ec.rule.RuleSet
Splits the rule set into n pieces, according to points, which *must* be sorted.
split(EvolutionState, int, RuleSet[]) - Method in class ec.rule.RuleSet
Splits the rule set into a number of disjoint rule sets, copying the rules and adding them to the sets as appropriate.
split(int[], Object[]) - Method in class ec.vector.BitVectorIndividual
Splits the genome into n pieces, according to points, which *must* be sorted.
split(int[], Object[]) - Method in class ec.vector.ByteVectorIndividual
Splits the genome into n pieces, according to points, which *must* be sorted.
split(int[], Object[]) - Method in class ec.vector.DoubleVectorIndividual
Splits the genome into n pieces, according to points, which *must* be sorted.
split(int[], Object[]) - Method in class ec.vector.FloatVectorIndividual
Splits the genome into n pieces, according to points, which *must* be sorted.
split(int[], Object[]) - Method in class ec.vector.GeneVectorIndividual
Splits the genome into n pieces, according to points, which *must* be sorted.
split(int[], Object[]) - Method in class ec.vector.IntegerVectorIndividual
Splits the genome into n pieces, according to points, which *must* be sorted.
split(int[], Object[]) - Method in class ec.vector.LongVectorIndividual
Splits the genome into n pieces, according to points, which *must* be sorted.
split(int[], Object[]) - Method in class ec.vector.ShortVectorIndividual
Splits the genome into n pieces, according to points, which *must* be sorted.
split(int[], Object[]) - Method in class ec.vector.VectorIndividual
Splits the genome into n pieces, according to points, which *must* be sorted.
splitIntoTwo(EvolutionState, int, RuleSet[], double) - Method in class ec.rule.RuleSet
Splits the rule set into a two disjoint rule sets, copying the rules and adding them to the sets as appropriate.
stack - Variable in class ec.gp.ADFStack
 
stack - Variable in class ec.gp.GPProblem
The GPProblem's stack
standardizedFitness - Variable in class ec.gp.koza.KozaFitness
This ranges from 0 (best) to infinity (worst).
standardizedFitness() - Method in class ec.gp.koza.KozaFitness
Returns the standardized fitness metric.
start - Variable in class ec.evolve.RandomRestarts
 
start(Runnable) - Method in class ec.util.ThreadPool
Start a thread on the given Runnable and returns it.
start(Runnable, String) - Method in class ec.util.ThreadPool
Start a thread on the given Runnable with a given thread name (for debugging purposes).
start(Runnable, int) - Method in class ec.util.ThreadPool
Start a thread on the given Runnable and returns it.
start(Runnable, int, String) - Method in class ec.util.ThreadPool
Start a thread on the given Runnable with a given thread name (for debugging purposes) and returns it.
startFresh() - Method in class ec.EvolutionState
 
startFresh() - Method in class ec.exchange.IslandExchange
 
startFresh() - Method in class ec.simple.SimpleEvolutionState
 
startFresh() - Method in class ec.steadystate.SteadyStateEvolutionState
 
startFromCheckpoint() - Method in class ec.EvolutionState
 
startFromCheckpoint() - Method in class ec.exchange.IslandExchange
 
state - Variable in class ec.eval.SlaveMonitor
 
stateEquals(MersenneTwister) - Method in class ec.util.MersenneTwister
Returns true if the MersenneTwister's current internal state is equal to another MersenneTwister.
stateEquals(MersenneTwisterFast) - Method in class ec.util.MersenneTwisterFast
Returns true if the MersenneTwisterFast's current internal state is equal to another MersenneTwisterFast.
statistics - Variable in class ec.EvolutionState
The population statistics, a singleton object.
Statistics - Class in ec
Statistics and its subclasses are Cliques which generate statistics during the run.
Statistics() - Constructor for class ec.Statistics
 
StatisticsChartPane - Class in ec.display
 
StatisticsChartPane() - Constructor for class ec.display.StatisticsChartPane
 
StatisticsChartPane(int) - Constructor for class ec.display.StatisticsChartPane
 
StatisticsChartPane(int, int) - Constructor for class ec.display.StatisticsChartPane
 
StatisticsChartPaneTab - Class in ec.display.chart
 
StatisticsChartPaneTab(ChartPanel) - Constructor for class ec.display.chart.StatisticsChartPaneTab
 
StatisticsChartPaneTab(ChartPanel, boolean) - Constructor for class ec.display.chart.StatisticsChartPaneTab
 
statisticslog - Variable in class ec.simple.SimpleShortStatistics
 
statisticslog - Variable in class ec.simple.SimpleStatistics
The Statistics' log
SteadyStateBreeder - Class in ec.steadystate
This subclass of Breeder performs the evaluation portion of Steady-State Evolution and (in distributed form) Asynchronous Evolution.
SteadyStateBreeder() - Constructor for class ec.steadystate.SteadyStateBreeder
Do we allow duplicates?
SteadyStateBSourceForm - Interface in ec.steadystate
 
SteadyStateDefaults - Class in ec.steadystate
 
SteadyStateDefaults() - Constructor for class ec.steadystate.SteadyStateDefaults
 
SteadyStateEvaluator - Class in ec.steadystate
This subclass of Evaluator performs the evaluation portion of Steady-State Evolution and (in distributed form) Asynchronous Evolution.
SteadyStateEvaluator() - Constructor for class ec.steadystate.SteadyStateEvaluator
 
SteadyStateEvolutionState - Class in ec.steadystate
This subclass of EvolutionState implements basic Steady-State Evolution and (in distributed form) Asynchronous Evolution.
SteadyStateEvolutionState() - Constructor for class ec.steadystate.SteadyStateEvolutionState
 
SteadyStateExchangerForm - Interface in ec.steadystate
The SteadyStateExchangerForm is a badge which Exchanger subclasses may wear if they work properly with the SteadyStateEvolutionState mechanism.
SteadyStateStatisticsForm - Interface in ec.steadystate
This interface defines the hooks for SteadyStateEvolutionState objects to update themselves on.
steps - Variable in class ec.select.SUSSelection
How many samples have been done?
strength - Variable in class ec.multiobjective.spea2.SPEA2MultiObjectiveFitness
SPEA2 strength (# of nodes it dominates)
STRING_CONSTANT - Static variable in class ec.gp.ge.GrammarParser
 
style - Variable in class ec.coevolve.CompetitiveEvaluator
 
STYLE_N_RANDOM_COMPETITORS_ONEWAY - Static variable in class ec.coevolve.CompetitiveEvaluator
 
STYLE_N_RANDOM_COMPETITORS_TWOWAY - Static variable in class ec.coevolve.CompetitiveEvaluator
 
STYLE_ROUND_ROBIN - Static variable in class ec.coevolve.CompetitiveEvaluator
 
STYLE_SINGLE_ELIMINATION - Static variable in class ec.coevolve.CompetitiveEvaluator
 
subpop - Variable in class ec.steadystate.QueueIndividual
 
SUBPOP_INDEX_PREAMBLE - Static variable in class ec.Population
 
subpops - Variable in class ec.Population
 
Subpopulation - Class in ec
Subpopulation is a group which is basically an array of Individuals.
Subpopulation() - Constructor for class ec.Subpopulation
 
SubpopulationPanel - Class in ec.display
 
SubpopulationPanel(Console, int) - Constructor for class ec.display.SubpopulationPanel
 
SubpopulationPanel(Console, int, boolean) - Constructor for class ec.display.SubpopulationPanel
 
substack - Variable in class ec.gp.ADFStack
 
sumSquaredObjectiveDistance(MultiObjectiveFitness) - Method in class ec.multiobjective.MultiObjectiveFitness
Returns the sum of the squared difference between two Fitnesses in Objective space.
SUSSelection - Class in ec.select
Picks individuals in a population using the Stochastic Universal Selection (SUS) process, using fitnesses as returned by their fitness() methods.
SUSSelection() - Constructor for class ec.select.SUSSelection
 
swapCompatibleWith(GPInitializer, GPNode) - Method in class ec.gp.GPNode
Returns true if I can swap into node's position.
SYNC - Static variable in class ec.exchange.IslandExchange
Synchronize signal
synchronous - Variable in class ec.exchange.IslandExchange
synchronous or asynchronous communication
systemMessage(String) - Method in class ec.util.Output
Posts a system message.

T

T_BOOLEAN - Static variable in class ec.util.DecodeReturn
 
T_BYTE - Static variable in class ec.util.DecodeReturn
 
T_CHAR - Static variable in class ec.util.DecodeReturn
 
T_CHARACTER - Static variable in class ec.util.DecodeReturn
Same as T_CHAR
T_DOUBLE - Static variable in class ec.util.DecodeReturn
 
T_ERROR - Static variable in class ec.util.DecodeReturn
The actual error is stored in the String slot
T_FLOAT - Static variable in class ec.util.DecodeReturn
 
T_INT - Static variable in class ec.util.DecodeReturn
 
T_INTEGER - Static variable in class ec.util.DecodeReturn
Same as T_INT
T_LONG - Static variable in class ec.util.DecodeReturn
 
T_SHORT - Static variable in class ec.util.DecodeReturn
 
T_STRING - Static variable in class ec.util.DecodeReturn
 
TarpeianStatistics - Class in ec.parsimony
This Statistics subclass implements Poli's "Tarpeian" method of parsimony control, whereby some kill-proportion of above-average-sized individuals in each subpopulation have their fitnesses set to a very bad value, and marks them as already evaluated (so the Evaluator can skip them).
TarpeianStatistics() - Constructor for class ec.parsimony.TarpeianStatistics
 
Terminal - Class in ec.gp.push
Terminal is the leaf node in Push trees and is used to represent Push instructions of all types.
Terminal() - Constructor for class ec.gp.push.Terminal
 
terminalProbabilities(int) - Method in class ec.gp.build.PTCFunctionSet
 
terminalProbabilities(int) - Method in interface ec.gp.build.PTCFunctionSetForm
Returns an organized distribution (see ec.util.RandomChoice) of likelihoods that various terminals in the function set will be chosen over other terminals with the same return type.
terminalProbability - Variable in class ec.gp.koza.KozaNodeSelector
The probability a terminal must be chosen
terminals - Variable in class ec.gp.GPFunctionSet
The terminals our GPTree can use: terminals[type][thenodes].
terminals - Variable in class ec.gp.koza.KozaNodeSelector
The number of terminals in the tree, -1 if unknown.
terminals_h - Variable in class ec.gp.GPFunctionSet
The terminals our GPTree can use: arrays of terminals hashed by type.
test(GPNode) - Method in class ec.gp.GPNodeGatherer
Returns true if thisNode is the kind of node to be considered in the gather count for nodeInPosition(...) and GPNode.numNodes(GPNodeGatherer).
ThreadPool - Class in ec.util
ThreadPool.java A simple, lightweight thread pool, for those who cannot or will not use Java's baroque java.util.concurrent package.
ThreadPool() - Constructor for class ec.util.ThreadPool
 
ThreadPool.Worker - Interface in ec.util
A Worker is a special kind of object which represents an underlying Worker thread usable in the ThreadPool.
title - Variable in class ec.display.chart.ChartableStatistics
 
top(int) - Method in class ec.gp.ADFStack
Returns the nth item in the stack (0-indexed), or null if this goes to the bottom of the stack.
top() - Method in class ec.util.Parameter
Returns the path item at the far end of the parameter.
top_n_percent - Variable in class ec.select.GreedyOverselection
 
topOfFloatStack(Interpreter) - Method in class ec.gp.push.PushProblem
Returns the top of the interpreter's float stack.
topOfIntStack(Interpreter) - Method in class ec.gp.push.PushProblem
Returns the top of the interpreter's int stack.
toroidal - Variable in class ec.spatial.Spatial1DSubpopulation
 
tossSecondParent - Variable in class ec.gp.breed.SizeFairCrossoverPipeline
Should the pipeline discard the second parent after crossing over?
tossSecondParent - Variable in class ec.gp.koza.CrossoverPipeline
Should the pipeline discard the second parent after crossing over?
tossSecondParent - Variable in class ec.rule.breed.RuleCrossoverPipeline
Should the pipeline discard the second parent after crossing over?
tossSecondParent - Variable in class ec.vector.breed.ListCrossoverPipeline
 
tossSecondParent - Variable in class ec.vector.breed.VectorCrossoverPipeline
Should the pipeline discard the second parent after crossing over?
toString() - Method in class ec.display.ParameterValue
 
toString() - Method in class ec.gp.ADF
 
toString() - Method in class ec.gp.ADFArgument
 
toString() - Method in class ec.gp.ERC
This defaults to simply name() + "[" + encode() + "]".
toString() - Method in class ec.gp.ge.GrammarFunctionNode
A better toString() function -- khaled
toString() - Method in class ec.gp.ge.GrammarNode
 
toString() - Method in class ec.gp.ge.GrammarParser
 
toString() - Method in class ec.gp.ge.GrammarRuleNode
A better toString() function -- khaled
toString() - Method in class ec.gp.GPFunctionSet
Returns the name.
toString() - Method in class ec.gp.GPNode
Returns a Lisp-like atom for the node which can be read in again by computer.
toString() - Method in class ec.gp.GPNodeConstraints
 
toString() - Method in class ec.gp.GPTreeConstraints
 
toString() - Method in class ec.gp.GPType
Returns the type's name
toString() - Method in class ec.gp.push.Nonterminal
 
toString() - Method in class ec.Individual
Overridden here because hashCode() is not expected to return the pointer to the object.
toString() - Method in class ec.rule.RuleConstraints
Converting the rule to a string ( the name )
toString() - Method in class ec.rule.RuleSetConstraints
Converting the rule to a string ( the name )
toString() - Method in class ec.util.DataPipe
 
toString() - Method in class ec.util.Parameter
 
toString() - Method in class ec.util.ParameterDatabase
 
toString() - Method in class ec.util.ReflectedObject
 
toStringForError() - Method in class ec.gp.GPNode
Returns a description of the node that can make it easy to identify in error messages (by default, at least its name and the tree it's found in).
toStringForHumans() - Method in class ec.gp.ERC
You might want to override this to return a special human-readable version of the erc value; otherwise this defaults to toString(); This should be something that resembles a LISP atom.
toStringForHumans() - Method in class ec.gp.GPNode
Returns a Lisp-like atom for the node which is intended for human consumption, and not to be read in again.
toStringForHumans() - Method in class ec.gp.push.Nonterminal
 
toStringForHumans() - Method in class ec.gp.push.Terminal
 
totalFitnessThisGen - Variable in class ec.simple.SimpleShortStatistics
 
totalIndsSoFar - Variable in class ec.simple.SimpleShortStatistics
 
totalIndsThisGen - Variable in class ec.simple.SimpleShortStatistics
 
totalSizeSoFar - Variable in class ec.simple.SimpleShortStatistics
 
totalSizeThisGen - Variable in class ec.simple.SimpleShortStatistics
 
TournamentSelection - Class in ec.select
Does a simple tournament selection, limited to the subpopulation it's working in at the time.
TournamentSelection() - Constructor for class ec.select.TournamentSelection
 
transferAdditionalData(EvolutionState) - Method in class ec.eval.MasterProblem
This method is called by a Slave to transfer data previously loaded via receiveAdditionalData() to a running EvolutionState at the beginning of evolution.
traverseTreeForDepth(GPNode, ArrayList, HashMap) - Method in class ec.gp.breed.SizeFairCrossoverPipeline
Recursively travel the tree so that depth and subtree below are computed only once and can be reused later.
tree1 - Variable in class ec.gp.breed.InternalCrossoverPipeline
Is the first tree fixed? If not, this is -1
tree1 - Variable in class ec.gp.breed.SizeFairCrossoverPipeline
Is the first tree fixed? If not, this is -1
tree1 - Variable in class ec.gp.koza.CrossoverPipeline
Is the first tree fixed? If not, this is -1
tree2 - Variable in class ec.gp.breed.InternalCrossoverPipeline
Is the second tree fixed? If not, this is -1
tree2 - Variable in class ec.gp.breed.SizeFairCrossoverPipeline
Is the second tree fixed? If not, this is -1
tree2 - Variable in class ec.gp.koza.CrossoverPipeline
Is the second tree fixed? If not, this is -1
TREE_UNFIXED - Static variable in class ec.gp.GPBreedingPipeline
Standard value for an unfixed tree
treeConstraintRepository - Variable in class ec.gp.GPInitializer
 
treeConstraints - Variable in class ec.gp.GPInitializer
 
treeEquals(GPTree) - Method in class ec.gp.GPTree
Returns true if I am "genetically" the same as tree, though we may have different owners.
treeHashCode() - Method in class ec.gp.GPTree
Returns a hash code for comparing different GPTrees.
treeNumber() - Method in class ec.gp.GPTree
An expensive function which determines my tree number -- only use for errors, etc.
trees - Variable in class ec.gp.GPIndividual
 
treetype - Variable in class ec.gp.GPTreeConstraints
The type of the root of the tree
trials - Variable in class ec.Fitness
Auxiliary variable, used by coevolutionary processes, to compute the number of trials used to compute this Fitness value.
truesizes - Variable in class ec.gp.build.Uniform
 
TRUNCATE - Static variable in class ec.Subpopulation
 
tweak(EvolutionState, double[], double, double, double, double, int) - Method in class ec.pso.Particle
 
type - Variable in class ec.gp.GPType
The preassigned integer value for the type
type - Variable in class ec.util.DecodeReturn
The DecodeReturn type
TYPE_RANDOM_WALK - Static variable in class ec.spatial.SpatialTournamentSelection
 
TYPE_UNIFORM - Static variable in class ec.spatial.SpatialTournamentSelection
 
typeFor(String, EvolutionState) - Static method in class ec.gp.GPType
Returns a type for a given name.
typeRepository - Variable in class ec.gp.GPInitializer
TODO Comment these members.
types - Variable in class ec.gp.GPInitializer
 
types_h - Variable in class ec.gp.GPSetType
The hashtable of types in the set
types_packed - Variable in class ec.gp.GPSetType
A packed, sorted array of atomic types in the set
types_sparse - Variable in class ec.gp.GPSetType
A sparse array of atomic types in the set
typicalIndsProduced() - Method in class ec.breed.BufferedBreedingPipeline
 
typicalIndsProduced() - Method in class ec.breed.ForceBreedingPipeline
Returns the max of typicalIndsProduced() of all its children
typicalIndsProduced() - Method in class ec.breed.GenerationSwitchPipeline
Returns the max of typicalIndsProduced() of all its children
typicalIndsProduced() - Method in class ec.breed.MultiBreedingPipeline
Returns the max of typicalIndsProduced() of all its children
typicalIndsProduced() - Method in class ec.BreedingPipeline
Returns the "typical" number of individuals produced -- by default this is the minimum typical number of individuals produced by any children sources of the pipeline.
typicalIndsProduced() - Method in class ec.BreedingSource
Returns the "typical" number of individuals generated with one call of produce(...).
typicalIndsProduced() - Method in class ec.gp.breed.SizeFairCrossoverPipeline
Returns 2 * minimum number of typical individuals produced by any sources, else 1* minimum number if tossSecondParent is true.
typicalIndsProduced() - Method in class ec.gp.koza.CrossoverPipeline
Returns 2 * minimum number of typical individuals produced by any sources, else 1* minimum number if tossSecondParent is true.
typicalIndsProduced() - Method in class ec.rule.breed.RuleCrossoverPipeline
Returns 2 (unless tossing the second sibling, in which case it returns 1)
typicalIndsProduced() - Method in class ec.rule.breed.RuleMutationPipeline
Returns 1
typicalIndsProduced() - Method in class ec.SelectionMethod
Returns 1 (the typical default value)
typicalIndsProduced() - Method in class ec.vector.breed.ListCrossoverPipeline
 
typicalIndsProduced() - Method in class ec.vector.breed.MultipleVectorCrossoverPipeline
Returns the minimum number of children that are produced per crossover
typicalIndsProduced() - Method in class ec.vector.breed.VectorCrossoverPipeline
Returns 2 * minimum number of typical individuals produced by any sources, else 1* minimum number if tossSecondParent is true.

U

UNDEFINED - Static variable in class ec.EvolutionState
 
Uniform - Class in ec.gp.build
Uniform implements the algorithm described in
Uniform() - Constructor for class ec.gp.build.Uniform
 
UniquePipeline - Class in ec.breed
UniquePipeline is a BreedingPipeline which tries very hard to guarantee that all the individuals it produces are unique from members of the original subpopulation.
UniquePipeline() - Constructor for class ec.breed.UniquePipeline
 
UNKNOWN_VALUE - Static variable in class ec.util.ParameterDatabase
 
unmarkElitesEvaluated(EvolutionState, Population) - Method in class ec.simple.SimpleBreeder
 
unregisterSlave(SlaveConnection) - Method in class ec.eval.SlaveMonitor
Unregisters a dead slave from the monitor.
update(EvolutionState, int, int, int) - Method in class ec.pso.Particle
 
upperbound - Variable in class ec.evolve.RandomRestarts
 
useCompression - Variable in class ec.eval.SlaveMonitor
Indicates whether compression is used over the socket IO streams.
useTrueDistribution - Variable in class ec.gp.build.Uniform
 
usingElitism(int) - Method in class ec.simple.SimpleBreeder
 

V

V_ANY_POINT - Static variable in class ec.vector.VectorSpecies
 
V_AUTO - Static variable in class ec.simple.SimpleEvaluator
 
V_BEST - Static variable in class ec.simple.SimpleEvaluator
 
V_BOOLEAN - Static variable in class ec.eval.MetaProblem
 
V_C - Static variable in class ec.gp.GPTree
 
V_DOT - Static variable in class ec.gp.GPTree
 
V_EVALUATEGROUPED - Static variable in class ec.eval.Slave
 
V_EVALUATESIMPLE - Static variable in class ec.eval.Slave
 
V_FILL - Static variable in class ec.Subpopulation
 
V_FITNESS - Static variable in class ec.eval.Slave
 
V_FLIP_MUTATION - Static variable in class ec.vector.BitVectorSpecies
 
V_FLOAT - Static variable in class ec.eval.MetaProblem
 
V_GAUSS_MUTATION - Static variable in class ec.vector.FloatVectorSpecies
 
V_GEOMETRIC - Static variable in class ec.vector.VectorSpecies
 
V_INDIVIDUAL - Static variable in class ec.eval.Slave
 
V_INTEGER - Static variable in class ec.eval.MetaProblem
 
V_INTEGER_RANDOM_WALK_MUTATION - Static variable in class ec.vector.FloatVectorSpecies
 
V_INTEGER_RESET_MUTATION - Static variable in class ec.vector.FloatVectorSpecies
 
V_INTERMED_RECOMB - Static variable in class ec.vector.VectorSpecies
 
V_LATEX - Static variable in class ec.gp.GPTree
 
V_LINE_RECOMB - Static variable in class ec.vector.VectorSpecies
 
V_LISP - Static variable in class ec.gp.GPTree
 
V_MEAN - Static variable in class ec.simple.SimpleEvaluator
 
V_MEDIAN - Static variable in class ec.simple.SimpleEvaluator
 
V_NEIGHBORHOOD_RANDOM - Static variable in class ec.pso.PSOBreeder
 
V_NEIGHBORHOOD_RANDOM_EACH_TIME - Static variable in class ec.pso.PSOBreeder
 
V_NEIGHBORHOOD_TOROIDAL - Static variable in class ec.pso.PSOBreeder
 
V_NO_ERRORS - Static variable in class ec.util.Output
Don't print warnings, messages, or simple errors
V_NO_GENERAL - Static variable in class ec.util.Output
The standard verbosity to use if you don't want common reporting (like statistics)
V_NO_MESSAGES - Static variable in class ec.util.Output
Don't print messages
V_NO_WARNINGS - Static variable in class ec.util.Output
Don't print warnings or messages
V_NOTHING - Static variable in class ec.eval.Slave
 
V_ONE_POINT - Static variable in class ec.vector.VectorSpecies
 
V_ONE_POINT_NO_NOP - Static variable in class ec.vector.VectorSpecies
 
V_POLYNOMIAL_MUTATION - Static variable in class ec.vector.FloatVectorSpecies
 
V_RANDOM_WALK - Static variable in class ec.spatial.SpatialTournamentSelection
 
V_RANDOM_WALK_MUTATION - Static variable in class ec.vector.IntegerVectorSpecies
 
V_RESET_MUTATION - Static variable in class ec.vector.BitVectorSpecies
 
V_RESET_MUTATION - Static variable in class ec.vector.FloatVectorSpecies
 
V_RESET_MUTATION - Static variable in class ec.vector.IntegerVectorSpecies
 
V_SAME - Static variable in class ec.BreedingPipeline
Indicates that a source is the exact same source as the previous source.
V_SEED_TIME - Static variable in class ec.Evolve
'time' seed parameter value
V_SHUTDOWN - Static variable in class ec.eval.Slave
 
V_SIMULATED_BINARY - Static variable in class ec.vector.VectorSpecies
 
V_THREADS_AUTO - Static variable in class ec.Evolve
'auto' thread parameter value
V_TOTALLY_SILENT - Static variable in class ec.util.Output
No verbosity at all, not even system messages or fatal errors
V_TRUNCATE - Static variable in class ec.Subpopulation
 
V_TWO_POINT - Static variable in class ec.vector.VectorSpecies
 
V_TWO_POINT_NO_NOP - Static variable in class ec.vector.VectorSpecies
 
V_UNIFORM - Static variable in class ec.spatial.SpatialTournamentSelection
 
V_UNIFORM - Static variable in class ec.vector.VectorSpecies
 
V_VERBOSE - Static variable in class ec.util.Output
Total verbosity
V_WRAP - Static variable in class ec.Subpopulation
 
valid(DoubleVectorIndividual) - Method in class ec.de.DEBreeder
Tests the Individual to see if its values are in range.
validateRules() - Method in class ec.gp.ge.GrammarParser
Checks that all grammar rules in ruleshashmap have at least one possible production
valueForPathChanged(TreePath, Object) - Method in class ec.util.ReflectedObject
 
VectorCrossoverPipeline - Class in ec.vector.breed
VectorCrossoverPipeline is a BreedingPipeline which implements a simple default crossover for VectorIndividuals.
VectorCrossoverPipeline() - Constructor for class ec.vector.breed.VectorCrossoverPipeline
 
VectorDefaults - Class in ec.vector
Vector defaults is the basic defaults class for the Vector package.
VectorDefaults() - Constructor for class ec.vector.VectorDefaults
 
VectorIndividual - Class in ec.vector
VectorIndividual is the abstract superclass of simple individual representations which consist of vectors of values (booleans, integers, floating-point, etc.)
VectorIndividual() - Constructor for class ec.vector.VectorIndividual
 
VectorMutationPipeline - Class in ec.vector.breed
VectorMutationPipeline is a BreedingPipeline which implements a simple default Mutation for VectorIndividuals.
VectorMutationPipeline() - Constructor for class ec.vector.breed.VectorMutationPipeline
 
VectorSpecies - Class in ec.vector
VectorSpecies is a species which can create VectorIndividuals.
VectorSpecies() - Constructor for class ec.vector.VectorSpecies
 
velCoeff - Variable in class ec.pso.PSOBreeder
 
velocity - Variable in class ec.pso.Particle
 
verify(EvolutionState) - Method in class ec.gp.GPIndividual
Verification of validity of the GPIndividual -- strictly for debugging purposes only
verify(EvolutionState) - Method in class ec.gp.GPTree
Verification of validity of the tree -- strictly for debugging purposes only
verifyPoints(GPInitializer, GPNode, GPNode) - Method in class ec.gp.breed.SizeFairCrossoverPipeline
Returns true if inner1 can feasibly be swapped into inner2's position.
verifyPoints(GPInitializer, GPNode, GPNode) - Method in class ec.gp.koza.CrossoverPipeline
Returns true if inner1 can feasibly be swapped into inner2's position.
verifyPoints(GPNode, GPNode) - Method in class ec.gp.koza.MutationPipeline
Returns true if inner1 can feasibly be swapped into inner2's position
Version - Class in ec.util
Version is a static class which stores version information for this evolutionary computation system.
Version() - Constructor for class ec.util.Version
 
version - Static variable in class ec.util.Version
 

W

waitForAllSlavesToFinishEvaluating(EvolutionState) - Method in class ec.eval.SlaveMonitor
This method returns only when all slaves have finished the jobs that they were assigned.
waitForIndividual() - Method in class ec.eval.SlaveMonitor
Blocks until an individual comes available
waitOnMonitor(Object) - Method in class ec.eval.SlaveMonitor
 
warnAboutNonterminal(boolean, GPType, boolean, EvolutionState) - Method in class ec.gp.GPNodeBuilder
If the given test is true, issues a warning that no terminal was found with a return type of the given type, and that an algorithm had requested one.
warnAboutNonTerminalWithType(GPType, boolean, EvolutionState) - Method in class ec.gp.GPNodeBuilder
Issues a warning that no nonterminal was found with a return type of the given type, and that an algorithm had requested one.
warnAboutNoTerminalWithType(GPType, boolean, EvolutionState) - Method in class ec.gp.GPNodeBuilder
Issues a warning that no terminal was found with a return type of the given type, and that an algorithm had requested one.
warning(String, Parameter, Parameter) - Method in class ec.util.Output
Posts a warning.
warning(String, Parameter) - Method in class ec.util.Output
Posts a warning.
warning(String) - Method in class ec.util.Output
Posts a warning.
warnOnce(String) - Method in class ec.util.Output
Posts a warning one time only.
warnOnce(String, Parameter) - Method in class ec.util.Output
 
warnOnce(String, Parameter, Parameter) - Method in class ec.util.Output
 
WRAP - Static variable in class ec.Subpopulation
 
writeFitness(EvolutionState, DataOutput) - Method in class ec.Fitness
Writes the binary form of an individual out to a DataOutput.
writeFitness(EvolutionState, DataOutput) - Method in class ec.gp.koza.KozaFitness
 
writeFitness(EvolutionState, DataOutput) - Method in class ec.multiobjective.MultiObjectiveFitness
 
writeFitness(EvolutionState, DataOutput) - Method in class ec.multiobjective.nsga2.NSGA2MultiObjectiveFitness
 
writeFitness(EvolutionState, DataOutput) - Method in class ec.multiobjective.spea2.SPEA2MultiObjectiveFitness
 
writeFitness(EvolutionState, DataOutput) - Method in class ec.simple.SimpleFitness
 
writeGene(EvolutionState, DataOutput) - Method in class ec.vector.Gene
Override this if you need to write rules out to a binary stream
writeGenotype(EvolutionState, DataOutput) - Method in class ec.gp.GPIndividual
Overridden for the GPIndividual genotype.
writeGenotype(EvolutionState, DataOutput) - Method in class ec.Individual
Writes the genotypic information to a DataOutput.
writeGenotype(EvolutionState, DataOutput) - Method in class ec.rule.RuleIndividual
Overridden for the RuleIndividual genotype, writing each ruleset in turn.
writeGenotype(EvolutionState, DataOutput) - Method in class ec.vector.BitVectorIndividual
 
writeGenotype(EvolutionState, DataOutput) - Method in class ec.vector.ByteVectorIndividual
 
writeGenotype(EvolutionState, DataOutput) - Method in class ec.vector.DoubleVectorIndividual
 
writeGenotype(EvolutionState, DataOutput) - Method in class ec.vector.FloatVectorIndividual
 
writeGenotype(EvolutionState, DataOutput) - Method in class ec.vector.GeneVectorIndividual
 
writeGenotype(EvolutionState, DataOutput) - Method in class ec.vector.IntegerVectorIndividual
 
writeGenotype(EvolutionState, DataOutput) - Method in class ec.vector.LongVectorIndividual
 
writeGenotype(EvolutionState, DataOutput) - Method in class ec.vector.ShortVectorIndividual
 
writeIndividual(EvolutionState, DataOutput) - Method in class ec.Individual
Writes the binary form of an individual out to a DataOutput.
writeIndividual(EvolutionState, DataOutput) - Method in class ec.pso.Particle
 
writeNode(EvolutionState, DataOutput) - Method in class ec.gp.ADF
 
writeNode(EvolutionState, DataOutput) - Method in class ec.gp.ADFArgument
 
writeNode(EvolutionState, DataOutput) - Method in class ec.gp.ERC
To successfully write to a DataOutput, you must override this to write your specific ERC data out.
writeNode(EvolutionState, DataOutput) - Method in class ec.gp.GPNode
Override this to write any additional node-specific information to dataOutput besides: the number of arguments, the specific node class, the children, and the parent.
writePopulation(EvolutionState, DataOutput) - Method in class ec.Population
Writes a population in binary form, in a format readable by readPopulation(EvolutionState, DataInput).
writer - Variable in class ec.util.Log
The log's writer
writeRootedTree(EvolutionState, GPType, GPFunctionSet, DataOutput) - Method in class ec.gp.GPNode
 
writeRule(EvolutionState, DataOutput) - Method in class ec.rule.Rule
Override this if you need to write rules out to a binary stream
writeRuleSet(EvolutionState, DataOutput) - Method in class ec.rule.RuleSet
Writes RuleSets out to a binary stream
writeState(DataOutputStream) - Method in class ec.util.MersenneTwister
Writes the entire state of the MersenneTwister RNG to the stream
writeState(DataOutputStream) - Method in class ec.util.MersenneTwisterFast
Writes the entire state of the MersenneTwister RNG to the stream
writeSubpopulation(EvolutionState, DataOutput) - Method in class ec.Subpopulation
Writes a subpopulation in binary form, in a format readable by readSubpopulation(EvolutionState, DataInput).
writeTree(EvolutionState, DataOutput) - Method in class ec.gp.GPTree
 
writeTrials(EvolutionState, DataOutput) - Method in class ec.Fitness
Writes trials out to DataOutput

X

xlabel - Variable in class ec.display.chart.ChartableStatistics
 
XYSeriesChartStatistics - Class in ec.display.chart
 
XYSeriesChartStatistics() - Constructor for class ec.display.chart.XYSeriesChartStatistics
 

Y

ylabel - Variable in class ec.display.chart.ChartableStatistics
 

Z

zeroChildren - Variable in class ec.gp.GPNodeConstraints
A little memory optimization: if GPNodes have no children, they are welcome to use share this zero-sized array as their children array.

_

_functionsets - Variable in class ec.gp.build.Uniform
 
_truesizes - Variable in class ec.gp.build.Uniform