Uses of Class
net.sourceforge.cilib.algorithm.population.PopulationBasedAlgorithm

Packages that use PopulationBasedAlgorithm

net.sourceforge.cilib.algorithm.population
net.sourceforge.cilib.algorithm.population.knowledgetransferstrategies
net.sourceforge.cilib.bioinf.rnaprediction
net.sourceforge.cilib.boa
net.sourceforge.cilib.coevolution
net.sourceforge.cilib.coevolution.selection
net.sourceforge.cilib.cooperative
net.sourceforge.cilib.cooperative.splitstrategies
net.sourceforge.cilib.ec
net.sourceforge.cilib.moo.criterion.objectiveassignmentstrategies
net.sourceforge.cilib.moo.iterationstrategies
net.sourceforge.cilib.problem.coevolution
net.sourceforge.cilib.pso
net.sourceforge.cilib.pso.dynamic
net.sourceforge.cilib.pso.dynamic.detectionstrategies
net.sourceforge.cilib.pso.dynamic.responsestrategies
net.sourceforge.cilib.pso.niching
net.sourceforge.cilib.util.selection.recipes

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.algorithm.population

Classes in net.sourceforge.cilib.algorithm.population with type parameters of type PopulationBasedAlgorithm

class	AbstractIterationStrategy<E extends PopulationBasedAlgorithm> Generic IterationStrategy class for all population based algorithms.
interface	IterationStrategy<E extends PopulationBasedAlgorithm> Interface to define the manner in which an iteration is defined for a PopulationBasedAlgorithm.

Subclasses of PopulationBasedAlgorithm in net.sourceforge.cilib.algorithm.population

class	MultiPopulationBasedAlgorithm Algorithm class to describe the notion of aggregated PopulationBasedAlgorithm instances.
class	MultiPopulationCriterionBasedAlgorithm Generic class that represents the case where a Criterion-based MultiPopulationBasedAlgorithm (like VEPSO) is used to solve a Multi-objective problem.
class	SinglePopulationBasedAlgorithm Base class for algorithms that focus on a single populations of entities.

Fields in net.sourceforge.cilib.algorithm.population with type parameters of type PopulationBasedAlgorithm

protected AlgorithmIterator<PopulationBasedAlgorithm>	MultiPopulationBasedAlgorithm.algorithmIterator
protected List<PopulationBasedAlgorithm>	MultiPopulationBasedAlgorithm.subPopulationsAlgorithms

Methods in net.sourceforge.cilib.algorithm.population that return PopulationBasedAlgorithm

abstract PopulationBasedAlgorithm

PopulationBasedAlgorithm.getClone() Create a cloned copy of the current object and return it.

Methods in net.sourceforge.cilib.algorithm.population that return types with arguments of type PopulationBasedAlgorithm

AlgorithmIterator<PopulationBasedAlgorithm>	MultiPopulationBasedAlgorithm.getAlgorithmIterator() Get an AlgorithmIterator to iterate over the current collection of PopulationBasedAlgorithms.
List<PopulationBasedAlgorithm>	MultiPopulationBasedAlgorithm.getPopulations() Get the List of current sub-populations.
Iterator<PopulationBasedAlgorithm>	MultiPopulationBasedAlgorithm.iterator()

Methods in net.sourceforge.cilib.algorithm.population with parameters of type PopulationBasedAlgorithm

void	MultiPopulationBasedAlgorithm.addPopulationBasedAlgorithm(PopulationBasedAlgorithm algorithm) Add a PopulationBasedAlgorithm to the list of maintained sub-populations.
void	MultiPopulationBasedAlgorithm.removePopulationBasedalgorithm(PopulationBasedAlgorithm algorithm) Remove the provided PopulationBasedAlgorithm from the collection of maintained instances.

Method parameters in net.sourceforge.cilib.algorithm.population with type arguments of type PopulationBasedAlgorithm

void	MultiPopulationBasedAlgorithm.setAlgorithmIterator(AlgorithmIterator<PopulationBasedAlgorithm> algorithmIterator) Set the type of iterator to be used.
void	MultiPopulationBasedAlgorithm.setPopulations(List<PopulationBasedAlgorithm> populationBasedAlgorithms) Set the list of PopulationBasedAlgorithm instances that the MultiPopulationBasedAlgorithm should maintain.

Constructors in net.sourceforge.cilib.algorithm.population with parameters of type PopulationBasedAlgorithm

PopulationBasedAlgorithm(PopulationBasedAlgorithm copy)

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.algorithm.population.knowledgetransferstrategies

Methods in net.sourceforge.cilib.algorithm.population.knowledgetransferstrategies that return types with arguments of type PopulationBasedAlgorithm

SelectionRecipe<PopulationBasedAlgorithm>

SelectiveKnowledgeTransferStrategy.getPopulationSelection()

Method parameters in net.sourceforge.cilib.algorithm.population.knowledgetransferstrategies with type arguments of type PopulationBasedAlgorithm

void	SelectiveKnowledgeTransferStrategy.setPopulationSelection(SelectionRecipe<PopulationBasedAlgorithm> populationSelection)
Type	SelectiveKnowledgeTransferStrategy.transferKnowledge(List<PopulationBasedAlgorithm> allPopulations)
Type	KnowledgeTransferStrategy.transferKnowledge(List<PopulationBasedAlgorithm> allPopulations) Returns knowledge that was gained from an entity within the list of populations.

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.bioinf.rnaprediction

Subclasses of PopulationBasedAlgorithm in net.sourceforge.cilib.bioinf.rnaprediction

class

RNAPSO

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.boa

Subclasses of PopulationBasedAlgorithm in net.sourceforge.cilib.boa

class

ABC An implementation of the Artificial Bee Colony Algorithm.

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.coevolution

Subclasses of PopulationBasedAlgorithm in net.sourceforge.cilib.coevolution

class

CoevolutionAlgorithm This is the framework for a coevolution algorithm, either competitive or cooperative

Methods in net.sourceforge.cilib.coevolution with parameters of type PopulationBasedAlgorithm

void	CoevolutionAlgorithm.setAlgorithm(PopulationBasedAlgorithm algorithm) Add a subpopulation Algorithm

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.coevolution.selection

Method parameters in net.sourceforge.cilib.coevolution.selection with type arguments of type PopulationBasedAlgorithm

void	SelectHOFPoolSelectionStrategy.addToCompetitorPool(CoevolutionCompetitorList pool, List<PopulationBasedAlgorithm> populations) Add Competitors to the CoevolutionCompetitorList pool from the sub populations
void	SelectAllSolutionsPoolSelectionStrategy.addToCompetitorPool(CoevolutionCompetitorList pool, List<PopulationBasedAlgorithm> populations) Add Competitors to the CoevolutionCompetitorList pool from the sub populations
abstract void	OpponentPoolSelectionStrategy.addToCompetitorPool(CoevolutionCompetitorList pool, List<PopulationBasedAlgorithm> populations) Add Competitors to the CoevolutionCompetitorList pool from the sub populations
void	SelectpBestSolutionsPoolSelectionStrategy.addToCompetitorPool(CoevolutionCompetitorList pool, List<PopulationBasedAlgorithm> populations) Add Competitors to the CoevolutionCompetitorList pool from the sub populations
CoevolutionCompetitorList	OpponentSelectionStrategy.setCompetitors(int currentPopulationID, List<PopulationBasedAlgorithm> populations) Creates the opponent pool with an arbitrary number of OpponentPoolSelectionStrategys and select opponents from it.

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.cooperative

Subclasses of PopulationBasedAlgorithm in net.sourceforge.cilib.cooperative

class	HybridCooperativeAlgorithm
class	SplitCooperativeAlgorithm TODO test this class This class forms that basis for any co-operative optimisation implementations.

Methods in net.sourceforge.cilib.cooperative with parameters of type PopulationBasedAlgorithm

void	SplitCooperativeAlgorithm.addPopulationBasedAlgorithm(PopulationBasedAlgorithm algorithm)

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.cooperative.splitstrategies

Method parameters in net.sourceforge.cilib.cooperative.splitstrategies with type arguments of type PopulationBasedAlgorithm

void	ImperfectSplitStrategy.split(OptimisationProblem problem, CooperativeEntity context, List<PopulationBasedAlgorithm> populations)
void	SplitStrategy.split(OptimisationProblem problem, CooperativeEntity context, List<PopulationBasedAlgorithm> populations) Splits up the given OptimisationProblem into sub-problems and assigns all the sub-problems to Algorithms in the population.
void	PerfectSplitStrategy.split(OptimisationProblem problem, CooperativeEntity context, List<PopulationBasedAlgorithm> populations)
void	IndexedSplitStrategy.split(OptimisationProblem problem, CooperativeEntity context, List<PopulationBasedAlgorithm> populations)

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.ec

Subclasses of PopulationBasedAlgorithm in net.sourceforge.cilib.ec

class

EC Generic EC skeleton algorithm.

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.moo.criterion.objectiveassignmentstrategies

Method parameters in net.sourceforge.cilib.moo.criterion.objectiveassignmentstrategies with type arguments of type PopulationBasedAlgorithm

void	RandomObjectiveAssignmentStrategy.assignObjectives(MOOptimisationProblem problem, List<PopulationBasedAlgorithm> populations)
void	ObjectiveAssignmentStrategy.assignObjectives(MOOptimisationProblem problem, List<PopulationBasedAlgorithm> populations)
void	SequentialObjectiveAssignmentStrategy.assignObjectives(MOOptimisationProblem problem, List<PopulationBasedAlgorithm> populations)

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.moo.iterationstrategies

Classes in net.sourceforge.cilib.moo.iterationstrategies with type parameters of type PopulationBasedAlgorithm

class

ArchivingIterationStrategy<E extends PopulationBasedAlgorithm> A generic multi-objective IterationStrategy class that wraps another IterationStrategy and is responsible for populating the Archive of Pareto optimal solutions after the execution of the inner IterationStrategy class.

Methods in net.sourceforge.cilib.moo.iterationstrategies that return types with arguments of type PopulationBasedAlgorithm

IterationStrategy<PopulationBasedAlgorithm>

ArchivingIterationStrategy.getIterationStrategy()

Method parameters in net.sourceforge.cilib.moo.iterationstrategies with type arguments of type PopulationBasedAlgorithm

void	ArchivingIterationStrategy.setIterationStrategy(IterationStrategy<PopulationBasedAlgorithm> iterationStrategy)

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.problem.coevolution

Methods in net.sourceforge.cilib.problem.coevolution with parameters of type PopulationBasedAlgorithm

void	CompetitiveCoevolutionGameLearningOptimizationProblem.initializeEntities(PopulationBasedAlgorithm pba, int populationID) This method adds any problem specific entries to the all the populations entites's blackboards.
void	CoevolutionOptimisationProblem.initializeEntities(PopulationBasedAlgorithm pba, int populationID) This method adds any problem specific entries to the all the populations entites's blackboards.

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.pso

Subclasses of PopulationBasedAlgorithm in net.sourceforge.cilib.pso

class	LFPSO An implementation of the LeapFrog PSO algorithm, a modified Particle Swarm Optimiser based upon the improved leapfrog dynamic method for unconstrained minimization.
class	PSO An implementation of the standard PSO algorithm.

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.pso.dynamic

Classes in net.sourceforge.cilib.pso.dynamic with type parameters of type PopulationBasedAlgorithm

class

DynamicIterationStrategy<E extends PopulationBasedAlgorithm> Dynamic iteration strategy for PSO in dynamic environments.

Methods in net.sourceforge.cilib.pso.dynamic that return types with arguments of type PopulationBasedAlgorithm

EnvironmentChangeDetectionStrategy<PopulationBasedAlgorithm>	DynamicIterationStrategy.getDetectionStrategy() Get the currently defined EnvironmentChangeDetectionStrategy.
IterationStrategy<PopulationBasedAlgorithm>	DynamicIterationStrategy.getIterationStrategy() Get the current IterationStrategy.
EnvironmentChangeResponseStrategy<PopulationBasedAlgorithm>	DynamicIterationStrategy.getResponseStrategy() Get the currently defined EnvironmentChangeResponseStrategy,

Method parameters in net.sourceforge.cilib.pso.dynamic with type arguments of type PopulationBasedAlgorithm

void	DynamicIterationStrategy.setDetectionStrategy(EnvironmentChangeDetectionStrategy<PopulationBasedAlgorithm> detectionStrategy) Set the EnvironmentChangeDetectionStrategy to be used.
void	DynamicIterationStrategy.setIterationStrategy(IterationStrategy<PopulationBasedAlgorithm> iterationStrategy) Set the IterationStrategy to be used.
void	DynamicIterationStrategy.setResponseStrategy(EnvironmentChangeResponseStrategy<PopulationBasedAlgorithm> responseStrategy) Set the current EnvironmentChangeResponseStrategy to use.

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.pso.dynamic.detectionstrategies

Classes in net.sourceforge.cilib.pso.dynamic.detectionstrategies with type parameters of type PopulationBasedAlgorithm

class	EnvironmentChangeDetectionStrategy<E extends PopulationBasedAlgorithm> This abstract class defines the interface that detection strategies have to adhere to.
class	NeighbourhoodBestSentriesDetectionStrategy<E extends PopulationBasedAlgorithm>
class	PeriodicDetectionStrategy<E extends PopulationBasedAlgorithm>
class	RandomSentriesDetectionStrategy<E extends PopulationBasedAlgorithm> This class defines a detection strategy that uses a user-specified number of sentry entities and an value to detect whether a change has occured in the environment.
class	RandomSentryDetectionStrategy<E extends PopulationBasedAlgorithm> Deprecated. rather use RandomSentriesDetectionStrategy
class	RandomSentryPointsDetectionStrategy<E extends PopulationBasedAlgorithm> This class defines a detection strategy that uses a user-specified number of sentry points and an value to detect whether a change has occured in the environment within a number of consecutive iterations.
class	TopologyBestSentryDetectionStrategy<E extends PopulationBasedAlgorithm>

Methods in net.sourceforge.cilib.pso.dynamic.detectionstrategies with parameters of type PopulationBasedAlgorithm

boolean	TopologyBestSentryDetectionStrategy.detect(PopulationBasedAlgorithm algorithm)
boolean	RandomSentryPointsDetectionStrategy.detect(PopulationBasedAlgorithm algorithm) After every EnvironmentChangeDetectionStrategy.interval iterations, iterate through all sentry points and compare their previous fitness values with their current fitness values.
boolean	NeighbourhoodBestSentriesDetectionStrategy.detect(PopulationBasedAlgorithm algorithm)
boolean	PeriodicDetectionStrategy.detect(PopulationBasedAlgorithm algorithm)

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.pso.dynamic.responsestrategies

Classes in net.sourceforge.cilib.pso.dynamic.responsestrategies with type parameters of type PopulationBasedAlgorithm

class	CompetitiveCoevolutionParticleReevaluationResponseStrategy<E extends PopulationBasedAlgorithm> This class re-calculates all the personal best positions in the population.
class	DualReactionStrategy<E extends PopulationBasedAlgorithm> This reaction strategy wraps both a ReinitializationReactionStrategy and a ReevaluationReactionStrategy.
class	EnvironmentChangeResponseStrategy<E extends PopulationBasedAlgorithm> TODO: Complete this Javadoc.
class	NeighbourhoodBestSentriesReactionStrategy<E extends PopulationBasedAlgorithm>
class	PartialReinitialisationResponseStrategy<E extends PopulationBasedAlgorithm>
class	ParticleReevaluationResponseStrategy<E extends PopulationBasedAlgorithm> Deprecated. Rather use ReevaluationReactionStrategy
class	ReevaluationReactionStrategy<E extends PopulationBasedAlgorithm> This reaction strategy reevaluates the specified ratio of randomly chosen entities in the given Topology.
class	ReinitializationReactionStrategy<E extends PopulationBasedAlgorithm> This reaction strategy reinitializes the specified ratio of randomly chosen entities in the given Topology.

Methods in net.sourceforge.cilib.pso.dynamic.responsestrategies that return types with arguments of type PopulationBasedAlgorithm

EnvironmentChangeResponseStrategy<PopulationBasedAlgorithm>

ArchiveReevaluationResponseStrategy.getClone()

Methods in net.sourceforge.cilib.pso.dynamic.responsestrategies with parameters of type PopulationBasedAlgorithm

void	CompetitiveCoevolutionParticleReevaluationResponseStrategy.performReaction(PopulationBasedAlgorithm algorithm) This is the method responsible for responding that should be overridden by sub-classes.
protected void	ArchiveReevaluationResponseStrategy.performReaction(PopulationBasedAlgorithm algorithm)
void	NeighbourhoodBestSentriesReactionStrategy.performReaction(PopulationBasedAlgorithm algorithm)

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.pso.niching

Subclasses of PopulationBasedAlgorithm in net.sourceforge.cilib.pso.niching

class

Niche

Methods in net.sourceforge.cilib.pso.niching that return PopulationBasedAlgorithm

PopulationBasedAlgorithm	Niche.getClone()
PopulationBasedAlgorithm	Niche.getMainSwarm()

Uses of PopulationBasedAlgorithm in net.sourceforge.cilib.util.selection.recipes

Methods in net.sourceforge.cilib.util.selection.recipes that return PopulationBasedAlgorithm

PopulationBasedAlgorithm

RingBasedPopulationSelection.select(List<? extends PopulationBasedAlgorithm> elements) Perform the selection process.

Method parameters in net.sourceforge.cilib.util.selection.recipes with type arguments of type PopulationBasedAlgorithm

PopulationBasedAlgorithm

RingBasedPopulationSelection.select(List<? extends PopulationBasedAlgorithm> elements) Perform the selection process.