public class NSGA2MultiObjectiveFitness extends MultiObjectiveFitness
Modifier and Type | Field and Description |
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static java.lang.String |
NSGA2_RANK_PREAMBLE |
static java.lang.String |
NSGA2_SPARSITY_PREAMBLE |
int |
rank
Pareto front rank measure (lower ranks are better)
|
double |
sparsity
Sparsity along front rank measure (higher sparsity is better)
|
FITNESS_POSTAMBLE, maximize, maxObjective, minObjective, MULTI_FITNESS_POSTAMBLE, objectives, P_MAXIMIZE, P_MAXOBJECTIVES, P_MINOBJECTIVES, P_NUMOBJECTIVES
context, FITNESS_PREAMBLE, P_FITNESS, trials
Constructor and Description |
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NSGA2MultiObjectiveFitness() |
Modifier and Type | Method and Description |
---|---|
boolean |
betterThan(Fitness _fitness)
We specify the tournament selection criteria, Rank (lower
values are better) and Sparsity (higher values are better)
|
boolean |
equivalentTo(Fitness _fitness)
Returns true if I'm equivalent in fitness (neither better nor worse) to
_fitness.
|
java.lang.String |
fitnessToString()
Print to a string the fitness in a fashion intended
to be parsed in again via readFitness(...).
|
java.lang.String |
fitnessToStringForHumans()
Print to a string the fitness in a fashion readable by humans, and not intended
to be parsed in again.
|
java.lang.String[] |
getAuxilliaryFitnessNames()
Returns auxilliary fitness value names to be printed by the statistics object.
|
double[] |
getAuxilliaryFitnessValues()
Returns auxilliary fitness values to be printed by the statistics object.
|
void |
readFitness(EvolutionState state,
java.io.DataInput dataInput)
Reads the binary form of an individual from a DataInput.
|
void |
readFitness(EvolutionState state,
java.io.LineNumberReader reader)
Reads in the fitness from a form outputted by fitnessToString() and thus
printFitnessForHumans(...).
|
void |
writeFitness(EvolutionState state,
java.io.DataOutput dataOutput)
Writes the binary form of an individual out to a DataOutput.
|
clone, defaultBase, fitness, getNumObjectives, getObjective, getObjectives, getRankings, isIdealFitness, isMaximizing, isMaximizing, manhattanObjectiveDistance, paretoDominates, partitionIntoParetoFront, partitionIntoRanks, setObjectives, setToBestOf, setToMeanOf, setToMedianOf, setup, sumSquaredObjectiveDistance
compareTo, contextIsBetterThan, getContext, merge, printFitness, printFitness, printFitness, printFitnessForHumans, printFitnessForHumans, readTrials, setContext, setContext, writeTrials
public static final java.lang.String NSGA2_RANK_PREAMBLE
public static final java.lang.String NSGA2_SPARSITY_PREAMBLE
public int rank
public double sparsity
public java.lang.String[] getAuxilliaryFitnessNames()
MultiObjectiveFitness
getAuxilliaryFitnessNames
in class MultiObjectiveFitness
public double[] getAuxilliaryFitnessValues()
MultiObjectiveFitness
getAuxilliaryFitnessValues
in class MultiObjectiveFitness
public java.lang.String fitnessToString()
Fitness
fitnessToString
in class MultiObjectiveFitness
public java.lang.String fitnessToStringForHumans()
Fitness
fitnessToStringForHumans
in class MultiObjectiveFitness
public void readFitness(EvolutionState state, java.io.LineNumberReader reader) throws java.io.IOException
Fitness
readFitness
in class MultiObjectiveFitness
java.io.IOException
public void writeFitness(EvolutionState state, java.io.DataOutput dataOutput) throws java.io.IOException
Fitness
writeFitness
in class MultiObjectiveFitness
java.io.IOException
public void readFitness(EvolutionState state, java.io.DataInput dataInput) throws java.io.IOException
Fitness
readFitness
in class MultiObjectiveFitness
java.io.IOException
public boolean equivalentTo(Fitness _fitness)
MultiObjectiveFitness
equivalentTo
in class MultiObjectiveFitness
public boolean betterThan(Fitness _fitness)
betterThan
in class MultiObjectiveFitness