geneticAlgorithm

Class GeneticAlgorithm

java.lang.Object

geneticAlgorithm.AbstractGeneticAlgorithm

geneticAlgorithm.GeneticAlgorithm

All Implemented Interfaces:

IGeneticAlgorithm, IProgressable

public class GeneticAlgorithm
extends AbstractGeneticAlgorithm
implements IGeneticAlgorithm

Author:

N. Ferrando, J. Alberdi-Rodriguez, E. Sanchez

Nested Class Summary

Nested classes/interfaces inherited from class geneticAlgorithm.AbstractGeneticAlgorithm

AbstractGeneticAlgorithm.Updater

Constructor Summary

Constructors

Constructor and Description
GeneticAlgorithm(Parser parser)

Method Summary

Modifier and Type	Method and Description
boolean	exitCondition() This method has only meaning in AbstractGeneticAlgorithm.exitCondition().
boolean	reevaluate() Sometimes it is good to reevaluate the whole population.

Methods inherited from class geneticAlgorithm.AbstractGeneticAlgorithm

addToGraphics, clearGraphics, getBestIndividual, getCurrentIteration, getIndividual, getKmc, getMainEvaluator, getProgressPercent, getStopError, getTotalIterations, initialise, isDtooLarge, iterate, iterateOneStep, scaleIndividualRates, setExpectedSimulationTime, setExperimentalPsd, setGraphics, setHierarchy, setMainInterface

Methods inherited from class java.lang.Object

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

Methods inherited from interface geneticAlgorithm.IGeneticAlgorithm

getBestIndividual, getCurrentIteration, getIndividual, getTotalIterations, initialise, iterate, iterateOneStep, setGraphics

Methods inherited from interface geneticAlgorithm.IProgressable

getProgressPercent

Constructor Detail

GeneticAlgorithm

public GeneticAlgorithm(Parser parser)

Method Detail

exitCondition

public boolean exitCondition()

This method has only meaning in AbstractGeneticAlgorithm.exitCondition().

Specified by:

exitCondition in interface IGeneticAlgorithm

Overrides:

exitCondition in class AbstractGeneticAlgorithm

Returns:

always false

reevaluate

public boolean reevaluate()

Sometimes it is good to reevaluate the whole population.

Specified by:

reevaluate in interface IGeneticAlgorithm

Returns:

true if the current iteration is multiple of 25