org.encog.ml.genetic
Class GeneticAlgorithm

java.lang.Object
  org.encog.ml.genetic.GeneticAlgorithm

All Implemented Interfaces:

MultiThreadable

Direct Known Subclasses:

BasicGeneticAlgorithm, NEATTraining

public abstract class GeneticAlgorithm
extends Object
implements MultiThreadable

Implements a genetic algorithm. This is an abstract class. Other classes are provided by Encog use this base class to train neural networks or provide an answer to the traveling salesman problem. The genetic algorithm is also capable of using a thread pool to speed execution.

Constructor Summary

GeneticAlgorithm()

Method Summary

void	addSpeciesMember(Species species, Genome genome) Add a genome.
void	calculateScore(Genome g) Calculate the score for this genome.
CalculateGenomeScore	getCalculateScore()
GenomeComparator	getComparator()
Crossover	getCrossover()
double	getMatingPopulation() Get the mating population.
Mutate	getMutate()
double	getMutationPercent() Get the mutation percent.
double	getPercentToMate() Get the percent to mate.
Population	getPopulation()
int	getThreadCount()
abstract void	iteration() Perform one training iteration.
void	setCalculateScore(CalculateGenomeScore theCalculateScore) Set the score calculation object.
void	setComparator(GenomeComparator theComparator) Set the comparator.
void	setCrossover(Crossover theCrossover) Set the crossover object.
void	setMatingPopulation(double theMatingPopulation) Set the mating population percent.
void	setMutate(Mutate theMutate) Set the mutate object.
void	setMutationPercent(double theMutationPercent) Set the mutation percent.
void	setPercentToMate(double thePercentToMate) Set the percent to mate.
void	setPopulation(Population thePopulation) Set the population.
void	setThreadCount(int numThreads) Set the number of threads to use.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

GeneticAlgorithm

public GeneticAlgorithm()

Method Detail

addSpeciesMember

public final void addSpeciesMember(Species species,
                                   Genome genome)

Add a genome.

Parameters:

species - The species to add.

genome - The genome to add.

calculateScore

public final void calculateScore(Genome g)

Calculate the score for this genome. The genome's score will be set.

Parameters:

g - The genome to calculate for.

getCalculateScore

public final CalculateGenomeScore getCalculateScore()

Returns:

The score calculation object.

getComparator

public final GenomeComparator getComparator()

Returns:

The comparator.

getCrossover

public final Crossover getCrossover()

Returns:

The crossover object.

getMatingPopulation

public final double getMatingPopulation()

Get the mating population.

Returns:

The mating population percent.

getMutate

public final Mutate getMutate()

Returns:

The mutate object.

getMutationPercent

public final double getMutationPercent()

Get the mutation percent.

Returns:

The mutation percent.

getPercentToMate

public final double getPercentToMate()

Get the percent to mate.

Returns:

The percent to mate.

getPopulation

public final Population getPopulation()

Returns:

The population.

setCalculateScore

public final void setCalculateScore(CalculateGenomeScore theCalculateScore)

Set the score calculation object.

Parameters:

theCalculateScore - The score calculation object.

setComparator

public final void setComparator(GenomeComparator theComparator)

Set the comparator.

Parameters:

theComparator - The comparator.

setCrossover

public final void setCrossover(Crossover theCrossover)

Set the crossover object.

Parameters:

theCrossover - The crossover object.

setMatingPopulation

public final void setMatingPopulation(double theMatingPopulation)

Set the mating population percent.

Parameters:

theMatingPopulation - The mating population percent.

setMutate

public final void setMutate(Mutate theMutate)

Set the mutate object.

Parameters:

theMutate - The mutate object.

setMutationPercent

public final void setMutationPercent(double theMutationPercent)

Set the mutation percent.

Parameters:

theMutationPercent - The percent to mutate.

setPercentToMate

public final void setPercentToMate(double thePercentToMate)

Set the percent to mate.

Parameters:

thePercentToMate - The percent to mate.

setPopulation

public final void setPopulation(Population thePopulation)

Set the population.

Parameters:

thePopulation - The population.

iteration

public abstract void iteration()

Perform one training iteration.

getThreadCount

public int getThreadCount()

Specified by:

getThreadCount in interface MultiThreadable

Returns:

The number of threads to use, 0 to automatically determine based on core count.

setThreadCount

public void setThreadCount(int numThreads)

Set the number of threads to use.

Specified by:

setThreadCount in interface MultiThreadable

Parameters:

numThreads - The number of threads to use, or zero to automatically determine based on core count.