org.neat4j.neat.applications.train
Class NEATGATrainingManager

java.lang.Object
  org.neat4j.neat.applications.train.NEATGATrainingManager

public class NEATGATrainingManager
extends java.lang.Object

Training control for a NEAT network based on given configuration.

Author:

MSimmerson

Constructor Summary

NEATGATrainingManager()

Method Summary

void	assigGA(GeneticAlgorithm ga)
void	assignConfig(AIConfig config)
CrossOver	createCrossOver(AIConfig config)
GADescriptor	createDescriptor(AIConfig config)
FitnessFunction	createFunction(AIConfig config)
GeneticAlgorithm	createGeneticAlgorithm(GADescriptor gaDescriptor) Creates a GA for NEAT evolution based on the descriptor
Mutator	createMutator(AIConfig config)
ParentSelector	createParentSelector(AIConfig config)
void	evolve() Initiates an evaluation and evolution cycle.
GeneticAlgorithm	ga()
void	initialise(AIConfig config)
static void	main(java.lang.String[] args)
boolean	save(java.lang.String fileName, Chromosome genoType)
void	saveBest() Saves the best candidate of the generation

Methods inherited from class java.lang.Object

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

Constructor Detail

NEATGATrainingManager

public NEATGATrainingManager()

Method Detail

ga

public GeneticAlgorithm ga()

initialise

public void initialise(AIConfig config)
                throws InitialisationFailedException

Throws:

InitialisationFailedException

See Also:

org.neat4j.ailibrary.core.AIController#initialise(org.neat4j.ailibrary.AIConfig)

assigGA

public void assigGA(GeneticAlgorithm ga)

assignConfig

public void assignConfig(AIConfig config)

evolve

public void evolve()

Initiates an evaluation and evolution cycle.

saveBest

public void saveBest()

Saves the best candidate of the generation

createDescriptor

public GADescriptor createDescriptor(AIConfig config)

See Also:

org.neat4j.ailibrary.ga.control.GATrainingManager#createDescriptor(org.neat4j.ailibrary.AIConfig)

createGeneticAlgorithm

public GeneticAlgorithm createGeneticAlgorithm(GADescriptor gaDescriptor)

Creates a GA for NEAT evolution based on the descriptor

Parameters:

gaDescriptor -

Returns:

created GA

createFunction

public FitnessFunction createFunction(AIConfig config)
                               throws InvalidFitnessFunction

Throws:

InvalidFitnessFunction

See Also:

org.neat4j.ailibrary.ga.control.GATrainingManager#createFunction(java.lang.String)

createParentSelector

public ParentSelector createParentSelector(AIConfig config)
                                    throws InvalidParentSelectorFunction

Throws:

InvalidParentSelectorFunction

See Also:

org.neat4j.ailibrary.ga.control.GATrainingManager#createParentSelector(org.neat4j.ailibrary.AIConfig)

createMutator

public Mutator createMutator(AIConfig config)
                      throws InvalidMutatorFunction

Throws:

InvalidMutatorFunction

See Also:

org.neat4j.ailibrary.ga.control.GATrainingManager#createMutator(org.neat4j.ailibrary.AIConfig)

createCrossOver

public CrossOver createCrossOver(AIConfig config)
                          throws InvalidCrossoverFunction

Throws:

InvalidCrossoverFunction

See Also:

org.neat4j.ailibrary.ga.control.GATrainingManager#createCrossOver(org.neat4j.ailibrary.AIConfig)

save

public boolean save(java.lang.String fileName,
                    Chromosome genoType)

See Also:

org.neat4j.ailibrary.nn.core.NeuralNet#save(java.lang.String)

main

public static void main(java.lang.String[] args)