org.uma.jmetal.algorithm.multiobjective.moead

Class AbstractMOEAD<S extends Solution<?>>

java.lang.Object

org.uma.jmetal.algorithm.multiobjective.moead.AbstractMOEAD<S>

All Implemented Interfaces:

Serializable, Runnable, Algorithm<List<S>>

Direct Known Subclasses:

ConstraintMOEAD, MOEAD, MOEADDRA

public abstract class AbstractMOEAD<S extends Solution<?>>
extends Object
implements Algorithm<List<S>>

Abstract class for implementing versions of the MOEA/D algorithm.

Version:

1.0

Author:

Antonio J. Nebro

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	AbstractMOEAD.FunctionType
protected static class	AbstractMOEAD.NeighborType

Field Summary

Fields

Modifier and Type	Field and Description
protected CrossoverOperator<S>	crossoverOperator
protected String	dataDirectory
protected int	evaluations
protected AbstractMOEAD.FunctionType	functionType
protected double[]	idealPoint Z vector in Zhang & Li paper
protected Solution<?>[]	indArray
protected double[][]	lambda Lambda vectors
protected int	maxEvaluations
protected int	maximumNumberOfReplacedSolutions nr in Zhang & Li paper
protected MutationOperator<S>	mutationOperator
protected int[][]	neighborhood
protected double	neighborhoodSelectionProbability Delta in Zhang & Li paper
protected int	neighborSize T in Zhang & Li paper
protected int	numberOfThreads
protected List<S>	population
protected int	populationSize
protected Problem<S>	problem
protected JMetalRandom	randomGenerator
protected int	resultPopulationSize

Constructor Summary

Constructors

Constructor and Description
AbstractMOEAD(Problem<S> problem, int populationSize, int resultPopulationSize, int maxEvaluations, CrossoverOperator<S> crossoverOperator, MutationOperator<S> mutation, AbstractMOEAD.FunctionType functionType, String dataDirectory, double neighborhoodSelectionProbability, int maximumNumberOfReplacedSolutions, int neighborSize)

Method Summary

Modifier and Type	Method and Description
protected AbstractMOEAD.NeighborType	chooseNeighborType()
protected void	initializeIdealPoint()
protected void	initializeNeighborhood() Initialize neighborhoods
protected void	initializeUniformWeight() Initialize weight vectors
protected void	matingSelection(Vector<Integer> listOfSolutions, int subproblemId, AbstractMOEAD.NeighborType neighbourType)
protected List<S>	parentSelection(int subProblemId, AbstractMOEAD.NeighborType neighborType)

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.uma.jmetal.algorithm.Algorithm

getResult, run

Field Detail

problem

protected Problem<S extends Solution<?>> problem

idealPoint

protected double[] idealPoint

Z vector in Zhang & Li paper

lambda

protected double[][] lambda

Lambda vectors

neighborSize

protected int neighborSize

T in Zhang & Li paper

neighborhood

protected int[][] neighborhood

neighborhoodSelectionProbability

protected double neighborhoodSelectionProbability

Delta in Zhang & Li paper

maximumNumberOfReplacedSolutions

protected int maximumNumberOfReplacedSolutions

nr in Zhang & Li paper

indArray

protected Solution<?>[] indArray

functionType

protected AbstractMOEAD.FunctionType functionType

dataDirectory

protected String dataDirectory

population

protected List<S extends Solution<?>> population

populationSize

protected int populationSize

resultPopulationSize

protected int resultPopulationSize

evaluations

protected int evaluations

maxEvaluations

protected int maxEvaluations

randomGenerator

protected JMetalRandom randomGenerator

crossoverOperator

protected CrossoverOperator<S extends Solution<?>> crossoverOperator

mutationOperator

protected MutationOperator<S extends Solution<?>> mutationOperator

numberOfThreads

protected int numberOfThreads

Constructor Detail

AbstractMOEAD

public AbstractMOEAD(Problem<S> problem,
                     int populationSize,
                     int resultPopulationSize,
                     int maxEvaluations,
                     CrossoverOperator<S> crossoverOperator,
                     MutationOperator<S> mutation,
                     AbstractMOEAD.FunctionType functionType,
                     String dataDirectory,
                     double neighborhoodSelectionProbability,
                     int maximumNumberOfReplacedSolutions,
                     int neighborSize)

Method Detail

initializeUniformWeight

protected void initializeUniformWeight()

Initialize weight vectors

initializeNeighborhood

protected void initializeNeighborhood()

Initialize neighborhoods

initializeIdealPoint

protected void initializeIdealPoint()

chooseNeighborType

protected AbstractMOEAD.NeighborType chooseNeighborType()

parentSelection

protected List<S> parentSelection(int subProblemId,
                                  AbstractMOEAD.NeighborType neighborType)

matingSelection

protected void matingSelection(Vector<Integer> listOfSolutions,
                               int subproblemId,
                               AbstractMOEAD.NeighborType neighbourType)

Parameters:

listOfSolutions - The set of the indexes of selected mating parents

subproblemId - the id of current subproblem

neighbourType - neighbour type