Package org.uma.evolver.algorithm.base.rdsmoea

Class DoubleRDEMOEA

java.lang.Object

org.uma.evolver.algorithm.base.rdsmoea.BaseRDEMOEA<org.uma.jmetal.solution.doublesolution.DoubleSolution>

org.uma.evolver.algorithm.base.rdsmoea.DoubleRDEMOEA

All Implemented Interfaces:

BaseLevelAlgorithm<org.uma.jmetal.solution.doublesolution.DoubleSolution>

public class DoubleRDEMOEA
extends BaseRDEMOEA<org.uma.jmetal.solution.doublesolution.DoubleSolution>

Configurable implementation of the NSGA-II algorithm for double-valued (real-coded) problems.

This class provides a highly customizable version of NSGA-II, supporting:

• Various selection strategies (e.g., tournament, random)
• Multiple crossover operators (e.g., SBX, BLX-Alpha, whole arithmetic)
• Different mutation approaches (e.g., uniform, polynomial, non-uniform)
• Optional external archive integration

Usage example:

 NSGAIIDouble algorithm = new NSGAIIDouble(problem, 100, 25000);
 algorithm.parse(args);
 EvolutionaryAlgorithm<DoubleSolution> nsgaii = algorithm.build();
 nsgaii.run();
 

Non-configurable parameters such as the number of problem variables and, depending on the mutation operator, the maximum number of iterations or perturbation value, are set automatically based on the problem and algorithm configuration.

See Also:

• MutationParameter

Field Summary

Fields inherited from class org.uma.evolver.algorithm.base.rdsmoea.BaseRDEMOEA

densityEstimator, maximumNumberOfEvaluations, parameterSpace, populationSize, problem, ranking, rankingAndCrowdingComparator

Constructor Summary

Constructors

Constructor	Description
DoubleRDEMOEA(int populationSize, ParameterSpace parameterSpace)	Constructs an NSGAIIDouble instance with the given population size and a default parameter space.
DoubleRDEMOEA(org.uma.jmetal.problem.Problem<org.uma.jmetal.solution.doublesolution.DoubleSolution> problem, int populationSize, int maximumNumberOfEvaluations, ParameterSpace parameterSpace)	Constructs an NSGAIIDouble instance with the given problem, population size, and maximum number of evaluations.

Method Summary

Modifier and Type	Method	Description
BaseLevelAlgorithm<org.uma.jmetal.solution.doublesolution.DoubleSolution>	createInstance(org.uma.jmetal.problem.Problem<org.uma.jmetal.solution.doublesolution.DoubleSolution> problem, int maximumNumberOfEvaluations)	Creates a new instance of NSGAIIDouble for the given problem and maximum number of evaluations.
protected void	setNonConfigurableParameters()	Sets non-configurable parameters that depend on the problem or algorithm configuration.

Methods inherited from class org.uma.evolver.algorithm.base.rdsmoea.BaseRDEMOEA

build, createEvaluation, createExternalArchive, createInitialSolutions, createReplacement, createSelection, createTermination, createVariation, parameterSpace

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.uma.evolver.algorithm.base.BaseLevelAlgorithm

parse

Constructor Details

DoubleRDEMOEA

public DoubleRDEMOEA(int populationSize,
 ParameterSpace parameterSpace)

Constructs an NSGAIIDouble instance with the given population size and a default parameter space.

Parameters:

populationSize - the population size to use

DoubleRDEMOEA

public DoubleRDEMOEA(org.uma.jmetal.problem.Problem<org.uma.jmetal.solution.doublesolution.DoubleSolution> problem,
 int populationSize,
 int maximumNumberOfEvaluations,
 ParameterSpace parameterSpace)

Constructs an NSGAIIDouble instance with the given problem, population size, and maximum number of evaluations. Uses a default parameter space.

Parameters:

problem - the problem to solve

populationSize - the population size to use

maximumNumberOfEvaluations - the maximum number of evaluations

Method Details

createInstance

public BaseLevelAlgorithm<org.uma.jmetal.solution.doublesolution.DoubleSolution> createInstance(org.uma.jmetal.problem.Problem<org.uma.jmetal.solution.doublesolution.DoubleSolution> problem,
 int maximumNumberOfEvaluations)

Creates a new instance of NSGAIIDouble for the given problem and maximum number of evaluations.

Parameters:

problem - the problem to solve

maximumNumberOfEvaluations - the evaluation budget

Returns:

a new configured instance of NSGAIIDouble

setNonConfigurableParameters

protected void setNonConfigurableParameters()

Sets non-configurable parameters that depend on the problem or algorithm configuration.

This method automatically sets:

• The number of problem variables for the mutation operator.
• The maximum number of iterations for non-uniform mutation.
• The perturbation value for uniform mutation.

Specified by:

setNonConfigurableParameters in class BaseRDEMOEA<org.uma.jmetal.solution.doublesolution.DoubleSolution>