public class ListCrossoverPipeline extends BreedingPipeline
ListCrossoverPipeline will try tries times to meet certain constraints: first, the resulting children must be no smaller than min-child-size. Second, the amount of material removed from a parent must be no less than mix-crossover-percent and no more than max-crossover-percent.
If toss is true, then only one child is generated, else at most two are generated.
Typical Number of Individuals Produced Per produce(...) call
2 * minimum typical number of individuals produced by each source, unless toss
is set, in which case it's simply the minimum typical number.
Number of Sources
2
Parameters
base.toss bool = true or false (default)/td> | (after crossing over with the first new individual, should its second sibling individual be thrown away instead of adding it to the population?) |
base.tries int >= 1 |
(number of times to try finding valid crossover points) |
base.min-child-size int >= 0 (default) |
(the minimum allowed size of a child) |
base.min-crossover-percent 0 (default) <= double <= 1 |
(the minimum percentage of an individual that may be removed during crossover) |
base.max-crossover-percent 0 <= double <= 1 (default) |
(the maximum percentage of an individual that may be removed during crossover) |
Default Base
vector.list-xover
Modifier and Type | Field and Description |
---|---|
int |
crossoverType |
static java.lang.String |
KEY_PARENTS |
double |
maxCrossoverPercentage |
int |
minChildSize |
double |
minCrossoverPercentage |
static int |
NUM_SOURCES |
int |
numTries |
static java.lang.String |
P_LIST_CROSSOVER |
static java.lang.String |
P_MAX_CROSSOVER_PERCENT |
static java.lang.String |
P_MIN_CHILD_SIZE |
static java.lang.String |
P_MIN_CROSSOVER_PERCENT |
static java.lang.String |
P_NUM_TRIES |
static java.lang.String |
P_TOSS |
protected java.util.ArrayList<Individual> |
parents |
boolean |
tossSecondParent |
DYNAMIC_SOURCES, likelihood, mybase, P_LIKELIHOOD, P_NUMSOURCES, P_SOURCE, sources, V_SAME, V_STUB
NO_PROBABILITY, P_PROB, probability
Constructor and Description |
---|
ListCrossoverPipeline() |
Modifier and Type | Method and Description |
---|---|
java.lang.Object |
clone()
Creates a new individual cloned from a prototype,
and suitable to begin use in its own evolutionary
context.
|
java.lang.Object |
computeValidationData(EvolutionState state,
java.util.ArrayList<Individual> parents,
int thread)
A hook called by ListCrossoverPipeline to allow subclasses to prepare for additional validation testing.
|
Parameter |
defaultBase()
Returns the default base for this prototype.
|
boolean |
isValidated(int[][] split,
java.lang.Object validationData)
A hook called by ListCrossoverPipeline to allow subclasses to further validate children crossover points.
|
int |
numSources()
Returns the number of sources to this pipeline.
|
int |
produce(int min,
int max,
int subpopulation,
java.util.ArrayList<Individual> inds,
EvolutionState state,
int thread,
java.util.HashMap<java.lang.String,java.lang.Object> misc)
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.
|
void |
setup(EvolutionState state,
Parameter base)
Sets up the BreedingPipeline.
|
int |
typicalIndsProduced()
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.
|
fillStubs, finishProducing, individualReplaced, maxChildProduction, minChildProduction, preparePipeline, prepareToProduce, produces, sourcesAreProperForm
getProbability, pickRandom, setProbability, setupProbabilities
public static final java.lang.String P_TOSS
public static final java.lang.String P_LIST_CROSSOVER
public static final java.lang.String P_MIN_CHILD_SIZE
public static final java.lang.String P_NUM_TRIES
public static final java.lang.String P_MIN_CROSSOVER_PERCENT
public static final java.lang.String P_MAX_CROSSOVER_PERCENT
public static final int NUM_SOURCES
public static final java.lang.String KEY_PARENTS
public boolean tossSecondParent
public int crossoverType
public int minChildSize
public int numTries
public double minCrossoverPercentage
public double maxCrossoverPercentage
protected java.util.ArrayList<Individual> parents
public Parameter defaultBase()
Prototype
public int numSources()
BreedingPipeline
numSources
in class BreedingPipeline
public java.lang.Object clone()
Prototype
Typically this should be a full "deep" clone. However, you may share certain elements with other objects rather than clone hem, depending on the situation:
Implementations.
public Object clone()
{
try
{
return super.clone();
}
catch ((CloneNotSupportedException e)
{ throw new InternalError(); } // never happens
}
public Object clone()
{
try
{
MyObject myobj = (MyObject) (super.clone());
// put your deep-cloning code here...
}
catch ((CloneNotSupportedException e)
{ throw new InternalError(); } // never happens
return myobj;
}
public Object clone()
{
MyObject myobj = (MyObject) (super.clone());
// put your deep-cloning code here...
return myobj;
}
clone
in interface Prototype
clone
in class BreedingPipeline
public void setup(EvolutionState state, Parameter base)
BreedingSource
The most common modification is to normalize it with some other set of probabilities, then set all of them up in increasing summation; this allows the use of the fast static BreedingSource-picking utility method, BreedingSource.pickRandom(...). In order to use this method, 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}.
setup
in interface Prototype
setup
in interface Setup
setup
in class BreedingPipeline
Prototype.setup(EvolutionState,Parameter)
public int typicalIndsProduced()
BreedingPipeline
typicalIndsProduced
in class BreedingPipeline
public int produce(int min, int max, int subpopulation, java.util.ArrayList<Individual> inds, EvolutionState state, int thread, java.util.HashMap<java.lang.String,java.lang.Object> misc)
BreedingSource
produce
in class BreedingSource
public java.lang.Object computeValidationData(EvolutionState state, java.util.ArrayList<Individual> parents, int thread)
public boolean isValidated(int[][] split, java.lang.Object validationData)