org.uma.jmetal.algorithm.singleobjective.differentialevolution

Class DifferentialEvolution

java.lang.Object

org.uma.jmetal.algorithm.impl.AbstractEvolutionaryAlgorithm<DoubleSolution,Result>

org.uma.jmetal.algorithm.impl.AbstractDifferentialEvolution<DoubleSolution>

org.uma.jmetal.algorithm.singleobjective.differentialevolution.DifferentialEvolution

All Implemented Interfaces:

Serializable, Runnable, Algorithm<DoubleSolution>

public class DifferentialEvolution
extends AbstractDifferentialEvolution<DoubleSolution>

This class implements a differential evolution algorithm.

See Also:

Serialized Form

Field Summary

Fields inherited from class org.uma.jmetal.algorithm.impl.AbstractDifferentialEvolution

crossoverOperator, selectionOperator

Constructor Summary

Constructors

Constructor and Description
DifferentialEvolution(DoubleProblem problem, int maxEvaluations, int populationSize, DifferentialEvolutionCrossover crossoverOperator, DifferentialEvolutionSelection selectionOperator, SolutionListEvaluator<DoubleSolution> evaluator) Constructor

Method Summary

Modifier and Type	Method and Description
protected List<DoubleSolution>	createInitialPopulation()
protected List<DoubleSolution>	evaluatePopulation(List<DoubleSolution> population)
int	getEvaluations()
DoubleSolution	getResult() Returns the best individual
protected void	initProgress()
protected boolean	isStoppingConditionReached()
protected List<DoubleSolution>	replacement(List<DoubleSolution> population, List<DoubleSolution> offspringPopulation)
protected List<DoubleSolution>	reproduction(List<DoubleSolution> matingPopulation)
protected List<DoubleSolution>	selection(List<DoubleSolution> population)
void	setEvaluations(int evaluations)
protected void	updateProgress()

Methods inherited from class org.uma.jmetal.algorithm.impl.AbstractEvolutionaryAlgorithm

getPopulation, run, setPopulation

Methods inherited from class java.lang.Object

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

Constructor Detail

DifferentialEvolution

public DifferentialEvolution(DoubleProblem problem,
                             int maxEvaluations,
                             int populationSize,
                             DifferentialEvolutionCrossover crossoverOperator,
                             DifferentialEvolutionSelection selectionOperator,
                             SolutionListEvaluator<DoubleSolution> evaluator)

Constructor

Parameters:

problem - Problem to solve

maxEvaluations - Maximum number of evaluations to perform

populationSize -

crossoverOperator -

selectionOperator -

evaluator -

Method Detail

getEvaluations

public int getEvaluations()

setEvaluations

public void setEvaluations(int evaluations)

initProgress

protected void initProgress()

Specified by:

initProgress in class AbstractEvolutionaryAlgorithm<DoubleSolution,DoubleSolution>

updateProgress

protected void updateProgress()

Specified by:

updateProgress in class AbstractEvolutionaryAlgorithm<DoubleSolution,DoubleSolution>

isStoppingConditionReached

protected boolean isStoppingConditionReached()

Specified by:

isStoppingConditionReached in class AbstractEvolutionaryAlgorithm<DoubleSolution,DoubleSolution>

createInitialPopulation

protected List<DoubleSolution> createInitialPopulation()

Specified by:

createInitialPopulation in class AbstractEvolutionaryAlgorithm<DoubleSolution,DoubleSolution>

evaluatePopulation

protected List<DoubleSolution> evaluatePopulation(List<DoubleSolution> population)

Specified by:

evaluatePopulation in class AbstractEvolutionaryAlgorithm<DoubleSolution,DoubleSolution>

selection

protected List<DoubleSolution> selection(List<DoubleSolution> population)

Specified by:

selection in class AbstractEvolutionaryAlgorithm<DoubleSolution,DoubleSolution>

reproduction

protected List<DoubleSolution> reproduction(List<DoubleSolution> matingPopulation)

Specified by:

reproduction in class AbstractEvolutionaryAlgorithm<DoubleSolution,DoubleSolution>

replacement

protected List<DoubleSolution> replacement(List<DoubleSolution> population,
                                           List<DoubleSolution> offspringPopulation)

Specified by:

replacement in class AbstractEvolutionaryAlgorithm<DoubleSolution,DoubleSolution>

getResult

public DoubleSolution getResult()

Returns the best individual

Specified by:

getResult in interface Algorithm<DoubleSolution>

Specified by:

getResult in class AbstractEvolutionaryAlgorithm<DoubleSolution,DoubleSolution>