Package org.moeaframework.algorithm

Class GDE3

java.lang.Object

org.moeaframework.algorithm.AbstractAlgorithm

org.moeaframework.algorithm.AbstractEvolutionaryAlgorithm

org.moeaframework.algorithm.GDE3

All Implemented Interfaces:

Algorithm, EvolutionaryAlgorithm, Extensible, Configurable, Named, Stateful

public class GDE3
extends AbstractEvolutionaryAlgorithm

Implementation of the Generalized Differential Evolution (GDE3) algorithm.

References:

1. Kukkonen and Lampinen (2005). "GDE3: The Third Evolution Step of Generalized Differential Evolution." KanGAL Report Number 2005013.

Field Summary

Fields inherited from class org.moeaframework.algorithm.AbstractAlgorithm

initialized, numberOfEvaluations, problem, terminated

Constructor Summary

Constructors

Constructor	Description
GDE3(Problem problem)	Constructs the GDE3 algorithm with default settings.
GDE3(Problem problem, int initialPopulationSize, NondominatedSortingPopulation population, DominanceComparator comparator, DifferentialEvolutionSelection selection, DifferentialEvolutionVariation variation, Initialization initialization)	Constructs the GDE3 algorithm with the specified components.
GDE3(Problem problem, int initialPopulationSize, NondominatedSortingPopulation population, DifferentialEvolutionSelection selection, DifferentialEvolutionVariation variation, Initialization initialization)	Constructs the GDE3 algorithm with the specified components.

Method Summary

Modifier and Type	Method	Description
String	getName()	Returns the name of this algorithm.
NondominatedSortingPopulation	getPopulation()	Returns the current population of this evolutionary algorithm.
DifferentialEvolutionVariation	getVariation()	Returns the variation operator currently in use by this algorithm.
void	iterate()	Performs one iteration of the algorithm.
void	setInitialPopulationSize(int initialPopulationSize)	Sets the initial population size.
void	setVariation(DifferentialEvolutionVariation variation)	Replaces the differential evolution variation operator to be used by this algorithm.

Methods inherited from class org.moeaframework.algorithm.AbstractEvolutionaryAlgorithm

getArchive, getInitialization, getInitialPopulationSize, getResult, initialize, loadState, saveState, setArchive, setInitialization, setPopulation, setVariation

Methods inherited from class org.moeaframework.algorithm.AbstractAlgorithm

assertNotInitialized, evaluate, getExtensions, getNumberOfEvaluations, getProblem, isInitialized, isTerminated, step, terminate

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.moeaframework.algorithm.Algorithm

evaluate, evaluateAll, evaluateAll, getNumberOfEvaluations, getProblem, isInitialized, isTerminated, run, run, step, terminate

Methods inherited from interface org.moeaframework.core.configuration.Configurable

applyConfiguration, getConfiguration

Methods inherited from interface org.moeaframework.algorithm.extension.Extensible

addExtension, getExtensions, removeExtension

Constructor Details

GDE3

public GDE3(Problem problem)

Constructs the GDE3 algorithm with default settings.

Parameters:

problem - the problem being solved

GDE3

public GDE3(Problem problem,
 int initialPopulationSize,
 NondominatedSortingPopulation population,
 DifferentialEvolutionSelection selection,
 DifferentialEvolutionVariation variation,
 Initialization initialization)

Constructs the GDE3 algorithm with the specified components.

Parameters:

problem - the problem being solved

initialPopulationSize - the initial population size

population - the population used to store solutions

selection - the selection operator

variation - the variation operator

initialization - the initialization method

GDE3

public GDE3(Problem problem,
 int initialPopulationSize,
 NondominatedSortingPopulation population,
 DominanceComparator comparator,
 DifferentialEvolutionSelection selection,
 DifferentialEvolutionVariation variation,
 Initialization initialization)

Constructs the GDE3 algorithm with the specified components.

Parameters:

problem - the problem being solved

initialPopulationSize - the initial population size

population - the population used to store solutions

comparator - the dominance comparator used to determine if offspring survive until the non-dominated sorting step

selection - the selection operator

variation - the variation operator

initialization - the initialization method

Method Details

getName

public String getName()

Description copied from interface: Algorithm

Returns the name of this algorithm. Whenever possible, this name should match the name recognized by AlgorithmFactory.

Returns:

the name of this algorithm

iterate

public void iterate()

Description copied from class: AbstractAlgorithm

Performs one iteration of the algorithm. This method should be overridden by implementations to perform each logical iteration of the algorithm.

Specified by:

iterate in class AbstractAlgorithm

getPopulation

public NondominatedSortingPopulation getPopulation()

Description copied from interface: EvolutionaryAlgorithm

Returns the current population of this evolutionary algorithm.

Specified by:

getPopulation in interface EvolutionaryAlgorithm

Overrides:

getPopulation in class AbstractEvolutionaryAlgorithm

Returns:

the current population of this evolutionary algorithm

getVariation

public DifferentialEvolutionVariation getVariation()

Description copied from class: AbstractEvolutionaryAlgorithm

Returns the variation operator currently in use by this algorithm.

Overrides:

getVariation in class AbstractEvolutionaryAlgorithm

Returns:

the variation operator

setVariation

public void setVariation(DifferentialEvolutionVariation variation)

Replaces the differential evolution variation operator to be used by this algorithm.

Parameters:

variation - the differential evolution variation operator

setInitialPopulationSize

public void setInitialPopulationSize(int initialPopulationSize)

Description copied from class: AbstractEvolutionaryAlgorithm

Sets the initial population size. This value can not be set after initialization.

Overrides:

setInitialPopulationSize in class AbstractEvolutionaryAlgorithm

Parameters:

initialPopulationSize - the initial population size