org.jenetics

Class GaussianMutator<G extends NumberGene<?,G>>

java.lang.Object

org.jenetics.AbstractAlterer<G>

org.jenetics.Mutator<G>

org.jenetics.GaussianMutator<G>

All Implemented Interfaces:

Immutable, Alterer<G>

public final class GaussianMutator<G extends NumberGene<?,G>>
extends Mutator<G>
implements Immutable

The GaussianMutator class performs the mutation of a NumberGene. This mutator picks a new value based on a Gaussian distribution around the current value of the gene. The variance of the new value (before clipping to the allowed gene range) will be

The new value will be cropped to the gene's boundaries.

Since:

1.0

Version:

1.0 — $Date: 2013-03-25 $

Author:

Franz Wilhelmstötter

Field Summary

Fields inherited from class org.jenetics.AbstractAlterer

_probability, DEFAULT_ALTER_PROBABILITY

Constructor Summary

Constructors

Constructor and Description
GaussianMutator()
GaussianMutator(double probability)

Method Summary

Methods

Modifier and Type	Method and Description
boolean	equals(Object obj)
int	hashCode()
protected int	mutate(MSeq<G> genes, double p) Template method which gives an (re)implementation of the mutation class the possibility to perform its own mutation operation, based on a writable gene array and the gene mutation probability p.
String	toString()

Methods inherited from class org.jenetics.Mutator

alter

Methods inherited from class org.jenetics.AbstractAlterer

getProbability, Null

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

GaussianMutator

public GaussianMutator()

GaussianMutator

public GaussianMutator(double probability)

Method Detail

mutate

protected int mutate(MSeq<G> genes,
         double p)

Description copied from class: Mutator

Template method which gives an (re)implementation of the mutation class the possibility to perform its own mutation operation, based on a writable gene array and the gene mutation probability p.

This implementation, for example, does it in this way:

protected int mutate(final MSeq<G> genes, final double p) { final Random random = RandomRegistry.getRandom(); final ProbabilityIndexIterator it = new ProbabilityIndexIterator(genes.length(), p, random); int alterations = 0; for (int i = it.next(); i != -1; i = it.next()) { genes.set(i, genes.get(i).newInstance()); ++alterations; } return alterations; }

Overrides:

mutate in class Mutator<G extends NumberGene<?,G>>

Parameters:

genes - the genes to mutate.

p - the gene mutation probability.

hashCode

public int hashCode()

Overrides:

hashCode in class Mutator<G extends NumberGene<?,G>>

equals

public boolean equals(Object obj)

Overrides:

equals in class Mutator<G extends NumberGene<?,G>>

toString

public String toString()

Overrides:

toString in class Mutator<G extends NumberGene<?,G>>