Uses of Class
org.uma.evolver.parameter.ParameterSpace

Packages that use ParameterSpace

Package	Description
org.uma.evolver.algorithm.base
org.uma.evolver.algorithm.base.moead
org.uma.evolver.algorithm.base.moead.parameterspace
org.uma.evolver.algorithm.base.mopso
org.uma.evolver.algorithm.base.nsgaii
org.uma.evolver.algorithm.base.nsgaii.parameterspace
org.uma.evolver.algorithm.base.rdemoea
org.uma.evolver.algorithm.base.rdemoea.parameterspace
org.uma.evolver.algorithm.base.smsemoa
org.uma.evolver.algorithm.meta
org.uma.evolver.parameter
org.uma.evolver.parameter.yaml
org.uma.evolver.parameter.yaml.processors
org.uma.evolver.util.irace.parameterdescriptiongenerator

Uses of ParameterSpace in org.uma.evolver.algorithm.base

Methods in org.uma.evolver.algorithm.base that return ParameterSpace

Modifier and Type	Method	Description
ParameterSpace	BaseLevelAlgorithm.parameterSpace()	Returns the parameter space associated with this algorithm.

Uses of ParameterSpace in org.uma.evolver.algorithm.base.moead

Fields in org.uma.evolver.algorithm.base.moead declared as ParameterSpace

Modifier and Type	Field	Description
protected final ParameterSpace	BaseMOEAD.parameterSpace	The parameter space containing all configurable components and parameters.

Methods in org.uma.evolver.algorithm.base.moead that return ParameterSpace

Modifier and Type	Method	Description
ParameterSpace	BaseMOEAD.parameterSpace()	Returns the parameter space used by this algorithm.

Constructors in org.uma.evolver.algorithm.base.moead with parameters of type ParameterSpace

Modifier	Constructor	Description
	BaseMOEAD(int populationSize, String weightVectorFilesDirectory, ParameterSpace parameterSpace)	Constructs a new BaseMOEAD instance with the specified population size, weight vector directory, and parameter space.
	BaseMOEAD(org.uma.jmetal.problem.Problem<S> problem, int populationSize, int maximumNumberOfEvaluations, String weightVectorFilesDirectory, ParameterSpace parameterSpace)	Constructs a fully configured BaseMOEAD instance ready for execution.
	BinaryMOEAD(int populationSize, String weightVectorFilesDirectory, ParameterSpace parameterSpace)	Constructs a new BinaryMOEAD instance with the specified population size, weight vector files directory, and parameter space.
	BinaryMOEAD(org.uma.jmetal.problem.Problem<org.uma.jmetal.solution.binarysolution.BinarySolution> problem, int populationSize, int maximumNumberOfEvaluations, String weightVectorFilesDirectory, ParameterSpace parameterSpace)	Constructs a fully configured BinaryMOEAD instance ready for execution.
	DoubleMOEAD(int populationSize, String weightVectorFilesDirectory, ParameterSpace parameterSpace)	Constructs a new DoubleMOEAD instance with the specified population size, weight vector files directory, and parameter space.
	DoubleMOEAD(org.uma.jmetal.problem.Problem<org.uma.jmetal.solution.doublesolution.DoubleSolution> problem, int populationSize, int maximumNumberOfEvaluations, String weightVectorFilesDirectory, ParameterSpace parameterSpace)	Constructs a fully configured DoubleMOEAD instance ready for execution.
	PermutationMOEAD(org.uma.jmetal.problem.Problem<org.uma.jmetal.solution.permutationsolution.PermutationSolution<Integer>> problem, int populationSize, int maximumNumberOfEvaluations, String weightVectorFilesDirectory, ParameterSpace parameterSpace)	Constructs a fully configured PermutationMOEAD instance ready for execution.

Uses of ParameterSpace in org.uma.evolver.algorithm.base.moead.parameterspace

Subclasses of ParameterSpace in org.uma.evolver.algorithm.base.moead.parameterspace

Modifier and Type	Class	Description
class	MOEADBinaryParameterSpace	Parameter space for the MOEA/D algorithm using binary solutions.
class	MOEADCommonParameterSpace<S extends org.uma.jmetal.solution.Solution<?>>	Base parameter space for the MOEA/D algorithm.
class	MOEADDoubleParameterSpace	Parameter space for the MOEA/D algorithm using real-coded (double) solutions.
class	MOEADPermutationParameterSpace	Parameter space for the MOEA/D algorithm using permutation-based solutions.

Uses of ParameterSpace in org.uma.evolver.algorithm.base.mopso

Subclasses of ParameterSpace in org.uma.evolver.algorithm.base.mopso

Modifier and Type	Class	Description
class	MOPSOParameterSpace	Parameter space configuration for Multi-Objective Particle Swarm Optimization (MOPSO) algorithms.

Methods in org.uma.evolver.algorithm.base.mopso that return ParameterSpace

Modifier and Type	Method	Description
ParameterSpace	BaseMOPSO.parameterSpace()	Returns the parameter space used by this algorithm.

Constructors in org.uma.evolver.algorithm.base.mopso with parameters of type ParameterSpace

Modifier	Constructor	Description
	BaseMOPSO(int leaderArchiveSize, ParameterSpace parameterSpace)	Constructs a new BaseMOPSO instance with the specified leader archive size and parameter space.
	BaseMOPSO(org.uma.jmetal.problem.doubleproblem.DoubleProblem problem, int leaderArchiveSize, int maximumNumberOfEvaluations, ParameterSpace parameterSpace)	Constructs a fully configured BaseMOPSO instance ready for execution.

Uses of ParameterSpace in org.uma.evolver.algorithm.base.nsgaii

Fields in org.uma.evolver.algorithm.base.nsgaii declared as ParameterSpace

Modifier and Type	Field	Description
protected final ParameterSpace	BaseNSGAII.parameterSpace	The parameter space containing all configurable components and parameters.

Methods in org.uma.evolver.algorithm.base.nsgaii that return ParameterSpace

Modifier and Type	Method	Description
ParameterSpace	BaseNSGAII.parameterSpace()	Returns the parameter space used by this algorithm.

Constructors in org.uma.evolver.algorithm.base.nsgaii with parameters of type ParameterSpace

Modifier	Constructor	Description
protected	BaseNSGAII(int populationSize, ParameterSpace parameterSpace)	Constructs a new BaseNSGAII instance with the specified population size and parameter space.
protected	BaseNSGAII(org.uma.jmetal.problem.Problem<S> problem, int populationSize, int maximumNumberOfEvaluations, ParameterSpace parameterSpace)	Constructs a fully configured BaseNSGAII instance ready for execution.
	BinaryNSGAII(int populationSize, ParameterSpace parameterSpace)	Constructs a new instance of BinaryNSGAII with the specified population size and parameter space.
	BinaryNSGAII(org.uma.jmetal.problem.Problem<org.uma.jmetal.solution.binarysolution.BinarySolution> problem, int populationSize, int maximumNumberOfEvaluations, ParameterSpace parameterSpace)	Constructs a fully configured BinaryNSGAII instance ready for execution.
	DoubleNSGAII(int populationSize, ParameterSpace parameterSpace)	Constructs a new instance of DoubleNSGAII with the specified population size and parameter space.
	DoubleNSGAII(org.uma.jmetal.problem.Problem<org.uma.jmetal.solution.doublesolution.DoubleSolution> problem, int populationSize, int maximumNumberOfEvaluations, ParameterSpace parameterSpace)	Constructs a fully configured DoubleNSGAII instance ready for execution.
	PermutationNSGAII(int populationSize, ParameterSpace parameterSpace)	Constructs a new instance of PermutationNSGAII with the specified population size and parameter space.
	PermutationNSGAII(org.uma.jmetal.problem.Problem<org.uma.jmetal.solution.permutationsolution.PermutationSolution<Integer>> problem, int populationSize, int maximumNumberOfEvaluations, ParameterSpace parameterSpace)	Constructs a fully configured PermutationNSGAII instance ready for execution.

Uses of ParameterSpace in org.uma.evolver.algorithm.base.nsgaii.parameterspace

Subclasses of ParameterSpace in org.uma.evolver.algorithm.base.nsgaii.parameterspace

Modifier and Type	Class	Description
class	NSGAIIBinaryParameterSpace	Parameter space for NSGA-II algorithm variants using binary-coded solutions.
class	NSGAIICommonParameterSpace<S extends org.uma.jmetal.solution.Solution<?>>	Abstract parameter space for NSGA-II algorithm variants.
class	NSGAIIDoubleParameterSpace	Parameter space for NSGA-II algorithm variants using real-coded (double) solutions.
class	NSGAIIPermutationParameterSpace	Parameter space for NSGA-II algorithm variants using permutation-based solutions.

Uses of ParameterSpace in org.uma.evolver.algorithm.base.rdemoea

Fields in org.uma.evolver.algorithm.base.rdemoea declared as ParameterSpace

Modifier and Type	Field	Description
protected final ParameterSpace	BaseRDEMOEA.parameterSpace

Methods in org.uma.evolver.algorithm.base.rdemoea that return ParameterSpace

Modifier and Type	Method	Description
ParameterSpace	BaseRDEMOEA.parameterSpace()	Returns the parameter space associated with this algorithm.

Constructors in org.uma.evolver.algorithm.base.rdemoea with parameters of type ParameterSpace

Modifier	Constructor	Description
protected	BaseRDEMOEA(int populationSize, ParameterSpace parameterSpace)	Constructs an AbstractNSGAII with the given population size and parameter space.
protected	BaseRDEMOEA(org.uma.jmetal.problem.Problem<S> problem, int populationSize, int maximumNumberOfEvaluations, ParameterSpace parameterSpace)	Constructs an AbstractNSGAII with the given problem, population size, maximum number of evaluations, and parameter space.
	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.
	PermutationRDEMOEA(int populationSize, ParameterSpace parameterSpace)	Constructs an NSGAIIPermutation instance with the given population size and parameter space.
	PermutationRDEMOEA(org.uma.jmetal.problem.Problem<org.uma.jmetal.solution.permutationsolution.PermutationSolution<Integer>> problem, int populationSize, int maximumNumberOfEvaluations, ParameterSpace parameterSpace)	Constructs an NSGAIIPermutation instance with the given problem, population size, and maximum number of evaluations.

Uses of ParameterSpace in org.uma.evolver.algorithm.base.rdemoea.parameterspace

Subclasses of ParameterSpace in org.uma.evolver.algorithm.base.rdemoea.parameterspace

Modifier and Type	Class	Description
class	RDEMOEACommonParameterSpace<S extends org.uma.jmetal.solution.Solution<?>>	Abstract parameter space for RDS-MOEA (Ranking and Density Selection Multi-Objective Evolutionary Algorithm) variants.
class	RDEMOEADoubleParameterSpace	Parameter space for RDS-MOEA with double-encoded solutions.
class	RDEMOEAPermutationParameterSpace	Parameter space for NSGA-II algorithm variants using permutation-based solutions.

Uses of ParameterSpace in org.uma.evolver.algorithm.base.smsemoa

Fields in org.uma.evolver.algorithm.base.smsemoa declared as ParameterSpace

Modifier and Type	Field	Description
protected final ParameterSpace	BaseSMSEMOA.parameterSpace

Methods in org.uma.evolver.algorithm.base.smsemoa that return ParameterSpace

Modifier and Type	Method	Description
ParameterSpace	BaseSMSEMOA.parameterSpace()	Returns the parameter space associated with this algorithm.

Constructors in org.uma.evolver.algorithm.base.smsemoa with parameters of type ParameterSpace

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

Uses of ParameterSpace in org.uma.evolver.algorithm.meta

Constructors in org.uma.evolver.algorithm.meta with parameters of type ParameterSpace

Modifier	Constructor	Description
	MetaNSGAIIBuilder(MetaOptimizationProblem<?> problem, ParameterSpace parameterSpace)	Creates a new builder with the specified meta-optimization problem.

Uses of ParameterSpace in org.uma.evolver.parameter

Methods in org.uma.evolver.parameter that return ParameterSpace

Modifier and Type	Method	Description
abstract ParameterSpace	ParameterSpace.createInstance()	Creates and configures a new instance of this parameter space.

Uses of ParameterSpace in org.uma.evolver.parameter.yaml

Subclasses of ParameterSpace in org.uma.evolver.parameter.yaml

Modifier and Type	Class	Description
class	YAMLParameterSpace	A YAML-based parameter space implementation that loads multi-objective metaheuristic parameter configurations from YAML files.

Methods in org.uma.evolver.parameter.yaml with parameters of type ParameterSpace

Modifier and Type	Method	Description
void	ParameterProcessor.process(String parameterName, Object parameterConfig, ParameterSpace parameterSpace)	Processes a parameter and adds it to the parameter space.

Uses of ParameterSpace in org.uma.evolver.parameter.yaml.processors

Methods in org.uma.evolver.parameter.yaml.processors with parameters of type ParameterSpace

Modifier and Type	Method	Description
void	CategoricalParameterProcessor.process(String parameterName, Object parameterConfig, ParameterSpace parameterSpace)	Processes a categorical parameter from YAML configuration.
void	DoubleParameterProcessor.process(String parameterName, Object parameterConfig, ParameterSpace parameterSpace)	Processes a double parameter from YAML configuration.
void	IntegerParameterProcessor.process(String parameterName, Object parameterConfig, ParameterSpace parameterSpace)	Processes an integer parameter from YAML configuration.

Uses of ParameterSpace in org.uma.evolver.util.irace.parameterdescriptiongenerator

Methods in org.uma.evolver.util.irace.parameterdescriptiongenerator with parameters of type ParameterSpace

Modifier and Type	Method	Description
void	IraceParameterDescriptionGenerator.generateConfigurationFile(ParameterSpace parameterSpace)	Generates and prints the irace configuration for the given parameter space.