org.uma.jmetal.algorithm.multiobjective.paes

Class PAES<S extends Solution<?>>

java.lang.Object

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

org.uma.jmetal.algorithm.impl.AbstractEvolutionStrategy<S,List<S>>

org.uma.jmetal.algorithm.multiobjective.paes.PAES<S>

All Implemented Interfaces:

Serializable, Runnable, Algorithm<List<S>>

public class PAES<S extends Solution<?>>
extends AbstractEvolutionStrategy<S,List<S>>

Version:

1.0 This class implements the PAES algorithm.

Author:

Antonio J. Nebro, Juan J. Durillo

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
PAES(Problem<S> problem, int archiveSize, int maxEvaluations, int biSections, MutationOperator<S> mutationOperator) Constructor

Method Summary

Modifier and Type	Method and Description
protected List<S>	createInitialPopulation()
protected List<S>	evaluatePopulation(List<S> population)
int	getArchiveSize()
int	getBiSections()
int	getMaxEvaluations()
MutationOperator<S>	getMutationOperator()
List<S>	getResult()
protected void	initProgress()
protected boolean	isStoppingConditionReached()
protected List<S>	replacement(List<S> population, List<S> offspringPopulation)
protected List<S>	reproduction(List<S> population)
protected List<S>	selection(List<S> population)
S	test(S solution, S mutatedSolution, AdaptiveGridArchive<S> archive) Tests two solutions to determine which one becomes be the guide of PAES algorithm
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

PAES

public PAES(Problem<S> problem,
            int archiveSize,
            int maxEvaluations,
            int biSections,
            MutationOperator<S> mutationOperator)

Constructor

Method Detail

getArchiveSize

public int getArchiveSize()

getMaxEvaluations

public int getMaxEvaluations()

getBiSections

public int getBiSections()

getMutationOperator

public MutationOperator<S> getMutationOperator()

initProgress

protected void initProgress()

Specified by:

initProgress in class AbstractEvolutionaryAlgorithm<S extends Solution<?>,List<S extends Solution<?>>>

updateProgress

protected void updateProgress()

Specified by:

updateProgress in class AbstractEvolutionaryAlgorithm<S extends Solution<?>,List<S extends Solution<?>>>

isStoppingConditionReached

protected boolean isStoppingConditionReached()

Specified by:

isStoppingConditionReached in class AbstractEvolutionaryAlgorithm<S extends Solution<?>,List<S extends Solution<?>>>

createInitialPopulation

protected List<S> createInitialPopulation()

Specified by:

createInitialPopulation in class AbstractEvolutionaryAlgorithm<S extends Solution<?>,List<S extends Solution<?>>>

evaluatePopulation

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

Specified by:

evaluatePopulation in class AbstractEvolutionaryAlgorithm<S extends Solution<?>,List<S extends Solution<?>>>

selection

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

Specified by:

selection in class AbstractEvolutionaryAlgorithm<S extends Solution<?>,List<S extends Solution<?>>>

reproduction

protected List<S> reproduction(List<S> population)

Specified by:

reproduction in class AbstractEvolutionaryAlgorithm<S extends Solution<?>,List<S extends Solution<?>>>

replacement

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

Specified by:

replacement in class AbstractEvolutionaryAlgorithm<S extends Solution<?>,List<S extends Solution<?>>>

getResult

public List<S> getResult()

Specified by:

getResult in interface Algorithm<List<S extends Solution<?>>>

Specified by:

getResult in class AbstractEvolutionaryAlgorithm<S extends Solution<?>,List<S extends Solution<?>>>

test

public S test(S solution,
              S mutatedSolution,
              AdaptiveGridArchive<S> archive)

Tests two solutions to determine which one becomes be the guide of PAES algorithm

Parameters:

solution - The actual guide of PAES

mutatedSolution - A candidate guide