eva2/src/javaeva/server/go/operators/mutation/MutateGAInvertBits.java
2007-12-11 16:38:11 +00:00

146 lines
5.4 KiB
Java

package javaeva.server.go.operators.mutation;
import javaeva.server.go.individuals.AbstractEAIndividual;
import javaeva.server.go.individuals.InterfaceGAIndividual;
import javaeva.server.go.populations.Population;
import javaeva.server.go.problems.InterfaceOptimizationProblem;
import javaeva.server.go.tools.RandomNumberGenerator;
import java.util.BitSet;
/**
* Created by IntelliJ IDEA.
* User: streiche
* Date: 05.08.2004
* Time: 17:47:03
* To change this template use File | Settings | File Templates.
*/
public class MutateGAInvertBits implements InterfaceMutation, java.io.Serializable {
private int m_NumberOfMutations = 1;
private int m_MaxInveredBits = 5;
public MutateGAInvertBits() {
}
public MutateGAInvertBits(MutateGAInvertBits mutator) {
this.m_NumberOfMutations = mutator.m_NumberOfMutations;
this.m_MaxInveredBits = mutator.m_MaxInveredBits;
}
/** This method will enable you to clone a given mutation operator
* @return The clone
*/
public Object clone() {
return new MutateGAInvertBits(this);
}
/** This method allows you to evaluate wether two mutation operators
* are actually the same.
* @param mutator The other mutation operator
*/
public boolean equals(Object mutator) {
if (mutator instanceof MutateGAInvertBits) {
MutateGAInvertBits mut = (MutateGAInvertBits)mutator;
if (this.m_NumberOfMutations != mut.m_NumberOfMutations) return false;
if (this.m_MaxInveredBits != mut.m_MaxInveredBits) return false;
return true;
} else return false;
}
/** This method allows you to init the mutation operator
* @param individual The individual that will be mutated.
* @param opt The optimization problem.
*/
public void init(AbstractEAIndividual individual, InterfaceOptimizationProblem opt) {
}
/** This method will mutate a given AbstractEAIndividual. If the individual
* doesn't implement InterfaceGAIndividual nothing happens.
* @param individual The individual that is to be mutated
*/
public void mutate(AbstractEAIndividual individual) {
//System.out.println("Before Mutate: " +((GAIndividual)individual).getSolutionRepresentationFor());
if (individual instanceof InterfaceGAIndividual) {
BitSet tmpBitSet = ((InterfaceGAIndividual)individual).getBGenotype();
int[][] mutationIndices = new int[this.m_NumberOfMutations][2];
for (int i = 0; i < mutationIndices.length; i++) {
mutationIndices[i][0] = RandomNumberGenerator.randomInt(0, ((InterfaceGAIndividual)individual).getGenotypeLength());;
mutationIndices[i][1] = RandomNumberGenerator.randomInt(0, this.m_MaxInveredBits);;
}
// double instances of mutationIndices could be checked here... *sigh*
for (int i = 0; i < mutationIndices.length; i++) {
tmpBitSet.flip(mutationIndices[i][0], Math.min(((InterfaceGAIndividual)individual).getGenotypeLength(), mutationIndices[i][0]+ mutationIndices[i][1]));
if ((mutationIndices[i][0]+ mutationIndices[i][1]) > ((InterfaceGAIndividual)individual).getGenotypeLength()) {
tmpBitSet.flip(0, (mutationIndices[i][0]+ mutationIndices[i][1])-((InterfaceGAIndividual)individual).getGenotypeLength());
}
}
((InterfaceGAIndividual)individual).SetBGenotype(tmpBitSet);
}
//System.out.println("After Mutate: " +((GAIndividual)individual).getSolutionRepresentationFor());
}
/** This method allows you to perform either crossover on the strategy parameters
* or to deal in some other way with the crossover event.
* @param indy1 The original mother
* @param partners The original partners
*/
public void crossoverOnStrategyParameters(AbstractEAIndividual indy1, Population partners) {
// nothing to do here
}
/** This method allows you to get a string representation of the mutation
* operator
* @return A descriptive string.
*/
public String getStringRepresentation() {
return "GA inversion mutation";
}
/**********************************************************************************************************************
* These are for GUI
*/
/** This method allows the CommonJavaObjectEditorPanel to read the
* name to the current object.
* @return The name.
*/
public String getName() {
return "GA invert n bits mutation";
}
/** This method returns a global info string
* @return description
*/
public String globalInfo() {
return "This mutation operator inverts n succesive bits.";
}
/** This method allows you to set the number of mutations that occur in the
* genotype.
* @param mutations The number of mutations.
*/
public void setNumberOfMutations(int mutations) {
if (mutations < 0) mutations = 0;
this.m_NumberOfMutations = mutations;
}
public int getNumberOfMutations() {
return this.m_NumberOfMutations;
}
public String numberOfMutationsTipText() {
return "The number of inversion events.";
}
/** This method allows you to set the macimun number if succesively
* inverted bits
* @param mutations The number of successively inverted bits.
*/
public void setMaxInveredBits(int mutations) {
if (mutations < 0) mutations = 0;
this.m_MaxInveredBits = mutations;
}
public int getMaxInveredBits() {
return this.m_MaxInveredBits;
}
public String maxInveredBitsTipText() {
return "The number of successive bits to be inverted.";
}
}