Package org.uma.evolver.algorithm.meta

Class MetaAsyncNSGAIIBuilder

java.lang.Object

org.uma.evolver.algorithm.meta.MetaAsyncNSGAIIBuilder

public class MetaAsyncNSGAIIBuilder
extends Object

Builder for creating asynchronous multi-threaded NSGA-II instances for optimization tasks.

This builder provides a convenient way to configure and create instances of AsynchronousMultiThreadedNSGAII with sensible defaults for asynchronous parallel execution. It follows the builder pattern for fluent configuration of algorithm parameters.

Example usage:

 MetaAsyncNSGAIIBuilder builder = new MetaAsyncNSGAIIBuilder(problem)
     .setPopulationSize(100)
     .setMaxEvaluations(10000)
     .setNumberOfCores(4)
     .setCrossover(new SBXCrossover(1.0, 20.0))
     .setMutation(new PolynomialMutation(1.0, 20.0));
 AsynchronousMultiThreadedNSGAII<DoubleSolution> nsgaii = builder.build();
 

See Also:

• AsynchronousMultiThreadedNSGAII
• EvolutionaryAlgorithm

Constructor Summary

Constructors

Constructor	Description
MetaAsyncNSGAIIBuilder(org.uma.jmetal.problem.Problem<org.uma.jmetal.solution.doublesolution.DoubleSolution> problem)	Creates a new builder with the specified problem.

Method Summary

Modifier and Type	Method	Description
org.uma.jmetal.parallel.asynchronous.algorithm.impl.AsynchronousMultiThreadedNSGAII<org.uma.jmetal.solution.doublesolution.DoubleSolution>	build()	Builds and configures an asynchronous multi-threaded NSGA-II instance.
MetaAsyncNSGAIIBuilder	setCrossover(org.uma.jmetal.operator.crossover.CrossoverOperator<org.uma.jmetal.solution.doublesolution.DoubleSolution> crossover)	Sets the crossover operator to be used by the algorithm.
MetaAsyncNSGAIIBuilder	setMaxEvaluations(int maxEvaluations)	Sets the maximum number of evaluations for the algorithm.
MetaAsyncNSGAIIBuilder	setMutation(org.uma.jmetal.operator.mutation.MutationOperator<org.uma.jmetal.solution.doublesolution.DoubleSolution> mutation)	Sets the mutation operator to be used by the algorithm.
MetaAsyncNSGAIIBuilder	setNumberOfCores(int numberOfCores)	Sets the number of CPU cores to use for parallel evaluation.
MetaAsyncNSGAIIBuilder	setPopulationSize(int populationSize)	Sets the population size for the asynchronous NSGA-II algorithm.

Methods inherited from class java.lang.Object

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

Constructor Details

MetaAsyncNSGAIIBuilder

public MetaAsyncNSGAIIBuilder(org.uma.jmetal.problem.Problem<org.uma.jmetal.solution.doublesolution.DoubleSolution> problem)

Creates a new builder with the specified problem.

Initializes with default operators:

• Crossover: SBX with probability 1.0 and distribution index 20.0
• Mutation: Polynomial with probability 1.0 and distribution index 20.0

Parameters:

problem - the optimization problem to be solved (must not be null)

Throws:

NullPointerException - if the problem is null

Method Details

setPopulationSize

public MetaAsyncNSGAIIBuilder setPopulationSize(int populationSize)

Sets the population size for the asynchronous NSGA-II algorithm.

Parameters:

populationSize - the population size (must be non-negative)

Returns:

this builder instance for method chaining

Throws:

IllegalArgumentException - if populationSize is negative

setMaxEvaluations

public MetaAsyncNSGAIIBuilder setMaxEvaluations(int maxEvaluations)

Sets the maximum number of evaluations for the algorithm.

Parameters:

maxEvaluations - the maximum number of evaluations (must be non-negative)

Returns:

this builder instance for method chaining

Throws:

IllegalArgumentException - if maxEvaluations is negative

setNumberOfCores

public MetaAsyncNSGAIIBuilder setNumberOfCores(int numberOfCores)

Sets the number of CPU cores to use for parallel evaluation.

Parameters:

numberOfCores - the number of CPU cores (must be non-negative)

Returns:

this builder instance for method chaining

Throws:

IllegalArgumentException - if numberOfCores is negative

setCrossover

public MetaAsyncNSGAIIBuilder setCrossover(org.uma.jmetal.operator.crossover.CrossoverOperator<org.uma.jmetal.solution.doublesolution.DoubleSolution> crossover)

Sets the crossover operator to be used by the algorithm.

Parameters:

crossover - the crossover operator (must not be null)

Returns:

this builder instance for method chaining

Throws:

NullPointerException - if crossover is null

setMutation

public MetaAsyncNSGAIIBuilder setMutation(org.uma.jmetal.operator.mutation.MutationOperator<org.uma.jmetal.solution.doublesolution.DoubleSolution> mutation)

Sets the mutation operator to be used by the algorithm.

Parameters:

mutation - the mutation operator (must not be null)

Returns:

this builder instance for method chaining

Throws:

NullPointerException - if mutation is null

build

public org.uma.jmetal.parallel.asynchronous.algorithm.impl.AsynchronousMultiThreadedNSGAII<org.uma.jmetal.solution.doublesolution.DoubleSolution> build()

Builds and configures an asynchronous multi-threaded NSGA-II instance.

The returned instance is ready for execution with the configured parameters. The algorithm will use the specified number of cores for parallel evaluation and will terminate after reaching the maximum number of evaluations.

Returns:

a fully configured asynchronous NSGA-II instance

Throws:

IllegalStateException - if required parameters are not set properly