org.encog.ml.genetic

Class MLMethodGeneticAlgorithm.MLMethodGeneticAlgorithmHelper

java.lang.Object

org.encog.ml.ea.train.basic.BasicEA

org.encog.ml.ea.train.basic.TrainEA

org.encog.ml.genetic.MLMethodGeneticAlgorithm.MLMethodGeneticAlgorithmHelper

All Implemented Interfaces:

java.io.Serializable, EncogShutdownTask, EvolutionaryAlgorithm, MLTrain, MultiThreadable

Enclosing class:

MLMethodGeneticAlgorithm

public class MLMethodGeneticAlgorithm.MLMethodGeneticAlgorithmHelper
extends TrainEA

Very simple class that implements a genetic algorithm.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
MLMethodGeneticAlgorithmHelper(Population thePopulation, CalculateScore theScoreFunction) Construct the helper.

Method Summary

Methods inherited from class org.encog.ml.ea.train.basic.TrainEA

addStrategy, canContinue, finishTraining, getImplementationType, getMethod, getStrategies, getTraining, isTrainingDone, iteration, iteration, pause, postIteration, preIteration, resume, setError

Methods inherited from class org.encog.ml.ea.train.basic.BasicEA

addChild, addOperation, addScoreAdjuster, calculateScore, calculateScoreAdjustment, getBestComparator, getBestGenome, getChampMutation, getCODEC, getEliteRate, getError, getIteration, getMaxIndividualSize, getMaxOperationErrors, getMaxTries, getOldBestGenome, getOperators, getPopulation, getRandomNumberFactory, getScoreAdjusters, getScoreFunction, getSelection, getSelectionComparator, getShouldIgnoreExceptions, getSpeciation, getThreadCount, isValidationMode, performShutdownTask, reportError, setBestComparator, setChampMutation, setCODEC, setEliteRate, setIteration, setMaxOperationErrors, setMaxTries, setPopulation, setRandomNumberFactory, setSelection, setSelectionComparator, setShouldIgnoreExceptions, setSpeciation, setThreadCount, setValidationMode

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.encog.ml.train.MLTrain

getError, getIteration, setIteration

Constructor Detail

MLMethodGeneticAlgorithmHelper

public MLMethodGeneticAlgorithmHelper(Population thePopulation,
                                      CalculateScore theScoreFunction)

Construct the helper.

Parameters:

thePopulation - The population.

theScoreFunction - The score function.