Uses of Interface
net.sourceforge.cilib.problem.OptimisationProblem

Packages that use OptimisationProblem

net.sourceforge.cilib.algorithm	The Algorithm package provides the generic algorithm foundation for all Algorithm instances.
net.sourceforge.cilib.algorithm.initialisation
net.sourceforge.cilib.bioinf.rnaprediction
net.sourceforge.cilib.bioinf.sequencealignment
net.sourceforge.cilib.boa.bee
net.sourceforge.cilib.coevolution
net.sourceforge.cilib.cooperative
net.sourceforge.cilib.cooperative.fitnessupdatestrategies
net.sourceforge.cilib.cooperative.splitstrategies
net.sourceforge.cilib.ec
net.sourceforge.cilib.entity
net.sourceforge.cilib.functions.discrete
net.sourceforge.cilib.moo.criterion
net.sourceforge.cilib.neuralnetwork.foundation
net.sourceforge.cilib.problem
net.sourceforge.cilib.problem.coevolution
net.sourceforge.cilib.problem.mappingproblem
net.sourceforge.cilib.pso.dynamic
net.sourceforge.cilib.pso.particle
net.sourceforge.cilib.pso.particle.initialisation

Uses of OptimisationProblem in net.sourceforge.cilib.algorithm

Fields in net.sourceforge.cilib.algorithm declared as OptimisationProblem

protected OptimisationProblem

Algorithm.optimisationProblem

Methods in net.sourceforge.cilib.algorithm that return OptimisationProblem

OptimisationProblem	MultistartOptimisationAlgorithm.getOptimisationProblem() Get the specified OptimisationProblem.
OptimisationProblem	Algorithm.getOptimisationProblem() Get the specified OptimisationProblem.

Methods in net.sourceforge.cilib.algorithm with parameters of type OptimisationProblem

void	MultistartOptimisationAlgorithm.setOptimisationProblem(OptimisationProblem problem) Set the optimisation problem.
void	Algorithm.setOptimisationProblem(OptimisationProblem problem) Set the optimisation problem to be solved.

Uses of OptimisationProblem in net.sourceforge.cilib.algorithm.initialisation

Methods in net.sourceforge.cilib.algorithm.initialisation with parameters of type OptimisationProblem

abstract void	PopulationInitialisationStrategy.initialise(Topology<? extends Entity> topology, OptimisationProblem problem) Initialise the Entity collection based on the given Topology and Problem.
void	SpecializedPopluationInitialisationStrategy.initialise(Topology topology, OptimisationProblem problem) Initialise the Entity collection based on the given Topology and Problem.
void	ClonedPopulationInitialisationStrategy.initialise(Topology topology, OptimisationProblem problem) Perform the required initialisation, using the provided Topology and Problem.

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

Classes in net.sourceforge.cilib.bioinf.rnaprediction that implement OptimisationProblem

class

RNAOptimisationProblem

Methods in net.sourceforge.cilib.bioinf.rnaprediction with parameters of type OptimisationProblem

Type	RNAInitialiser.getInitialPosition(OptimisationProblem problem) Get the initial position for the Entity, based on the provided Problem.
Type	RNAInitialiser.getInitialVelocity(OptimisationProblem problem) Get the initial velocity represented as a type.
void	RNAParticle.initialise(OptimisationProblem problem) Intialise the Entity to something meaningful and within the problem space.

Uses of OptimisationProblem in net.sourceforge.cilib.bioinf.sequencealignment

Classes in net.sourceforge.cilib.bioinf.sequencealignment that implement OptimisationProblem

class	BinaryMSAProblem This class represents the Optimization Problem to be solved for the MSA (Binary representation).
class	MSAProblem This class represents the Optimization Problem to be solved for the MSA (Real representation).

Uses of OptimisationProblem in net.sourceforge.cilib.boa.bee

Methods in net.sourceforge.cilib.boa.bee with parameters of type OptimisationProblem

void	AbstractBee.initialise(OptimisationProblem problem) Intialise the Entity to something meaningful and within the problem space.

Uses of OptimisationProblem in net.sourceforge.cilib.coevolution

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

void	CoevolutionAlgorithm.setOptimisationProblem(OptimisationProblem problem) Set the optimisation problem to be solved.

Uses of OptimisationProblem in net.sourceforge.cilib.cooperative

Methods in net.sourceforge.cilib.cooperative that return OptimisationProblem

OptimisationProblem

HybridCooperativeAlgorithm.getOptimisationProblem() Get the specified OptimisationProblem.

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

void	CooperativeEntity.initialise(OptimisationProblem problem)
void	HybridCooperativeAlgorithm.setOptimisationProblem(OptimisationProblem problem) Set the optimisation problem to be solved.

Uses of OptimisationProblem in net.sourceforge.cilib.cooperative.fitnessupdatestrategies

Methods in net.sourceforge.cilib.cooperative.fitnessupdatestrategies with parameters of type OptimisationProblem

void	StandardFitnessUpdateStrategy.updateFitness(OptimisationProblem problem, Entity context) Update the fitness of the provided Entity, based on the current OptimisationProblem.
void	FitnessUpdateStrategy.updateFitness(OptimisationProblem problem, Entity context) Update the fitness of the provided Entity, based on the current OptimisationProblem.

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

Methods in net.sourceforge.cilib.cooperative.splitstrategies with parameters of type OptimisationProblem

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 OptimisationProblem in net.sourceforge.cilib.ec

Methods in net.sourceforge.cilib.ec that return OptimisationProblem

OptimisationProblem

EC.getOptimisationProblem() Get the specified OptimisationProblem.

Methods in net.sourceforge.cilib.ec with parameters of type OptimisationProblem

void	Individual.initialise(OptimisationProblem problem) Intialise the Entity to something meaningful and within the problem space.
void	EC.setOptimisationProblem(OptimisationProblem problem) Set the optimisation problem to be solved.

Uses of OptimisationProblem in net.sourceforge.cilib.entity

Methods in net.sourceforge.cilib.entity with parameters of type OptimisationProblem

void	Harmony.initialise(OptimisationProblem problem) Intialise the Entity to something meaningful and within the problem space.
void	Entity.initialise(OptimisationProblem problem) Intialise the Entity to something meaningful and within the problem space.

Uses of OptimisationProblem in net.sourceforge.cilib.functions.discrete

Classes in net.sourceforge.cilib.functions.discrete that implement OptimisationProblem

class

KnightCoverageProblem Deprecated.

Uses of OptimisationProblem in net.sourceforge.cilib.moo.criterion

Classes in net.sourceforge.cilib.moo.criterion that implement OptimisationProblem

class

CriterionBasedMOProblemAdapter Serves as an adapter for a MOOptimisationProblem and converts it to a single-objective optimisation problem by selecting one of the sub-objectives as its active objective.

Methods in net.sourceforge.cilib.moo.criterion that return OptimisationProblem

OptimisationProblem

CriterionBasedMOProblemAdapter.getActiveOptimisationProblem()

Methods in net.sourceforge.cilib.moo.criterion that return types with arguments of type OptimisationProblem

List<OptimisationProblem>

CriterionBasedMOProblemAdapter.getOptimisationProblems()

Methods in net.sourceforge.cilib.moo.criterion with parameters of type OptimisationProblem

void	CriterionBasedMOProblemAdapter.setActiveOptimisationProblem(OptimisationProblem problem)

Uses of OptimisationProblem in net.sourceforge.cilib.neuralnetwork.foundation

Classes in net.sourceforge.cilib.neuralnetwork.foundation that implement OptimisationProblem

class

NeuralNetworkProblem Deprecated. This class is no longer really valid.

Methods in net.sourceforge.cilib.neuralnetwork.foundation that return OptimisationProblem

OptimisationProblem

NeuralNetworkController.getOptimisationProblem() Deprecated.

Methods in net.sourceforge.cilib.neuralnetwork.foundation with parameters of type OptimisationProblem

void	NeuralNetworkController.setOptimisationProblem(OptimisationProblem problem) Deprecated.

Uses of OptimisationProblem in net.sourceforge.cilib.problem

Classes in net.sourceforge.cilib.problem that implement OptimisationProblem

class	ClusteringProblem This class is used to setup/configure a problem that is capable of clustering the data in a dataset, more specifically the data contained in an AssociatedPairDataSetBuilder.
class	CooperativeOptimisationProblemAdapter TODO test this class.
class	DeratingFunctionMaximisationProblem Title: DeratingFunctionMaximisationProblem
class	DiscreteOptimisationProblem This class further extends the logical separation between a standard type of problem, usually placed in the real valued space, to enable Discrete problems.
class	FunctionLearningProblem
class	FunctionMaximisationProblem
class	FunctionMinimisationProblem An implementation of OptimisationProblemAdapter that can be used to find the minimum of any Function.
class	FunctionOptimisationProblem This class serves as a base class for function optimisation problems using a Function.
class	GradientFunctionMinimisationProblem
class	MOOptimisationProblem
class	OptimisationProblemAdapter This is a convenience class that keeps track of the number of fitness evaluations.

Fields in net.sourceforge.cilib.problem with type parameters of type OptimisationProblem

protected List<OptimisationProblem>

MOOptimisationProblem.problems

Methods in net.sourceforge.cilib.problem that return OptimisationProblem

OptimisationProblem	MOOptimisationProblem.get(int index)
OptimisationProblem	OptimisationProblem.getClone() Create a cloned copy of the current object and return it.
OptimisationProblem	MOOptimisationProblem.remove(int index)
OptimisationProblem	MOOptimisationProblem.set(int index, OptimisationProblem problem)

Methods in net.sourceforge.cilib.problem that return types with arguments of type OptimisationProblem

Iterator<OptimisationProblem>	MOOptimisationProblem.iterator()
ListIterator<OptimisationProblem>	MOOptimisationProblem.listIterator()
ListIterator<OptimisationProblem>	MOOptimisationProblem.listIterator(int index)
List<OptimisationProblem>	MOOptimisationProblem.subList(int fromIndex, int toIndex)

Methods in net.sourceforge.cilib.problem with parameters of type OptimisationProblem

void	MOOptimisationProblem.add(int index, OptimisationProblem problem)
boolean	MOOptimisationProblem.add(OptimisationProblem problem)
OptimisationProblem	MOOptimisationProblem.set(int index, OptimisationProblem problem)

Method parameters in net.sourceforge.cilib.problem with type arguments of type OptimisationProblem

boolean	MOOptimisationProblem.addAll(Collection<? extends OptimisationProblem> problems)
boolean	MOOptimisationProblem.addAll(int index, Collection<? extends OptimisationProblem> problems)

Constructors in net.sourceforge.cilib.problem with parameters of type OptimisationProblem

CooperativeOptimisationProblemAdapter(OptimisationProblem p, CooperativeEntity c, int d, int o)
Creates an OptimisationProblemAdapter that has the specified dimension starting at the given offset (index) position of the full given problem.

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

Classes in net.sourceforge.cilib.problem.coevolution that implement OptimisationProblem

class	CompetitiveCoevolutionGameLearningOptimizationProblem This class is used by CoevolutionAlgorithm to optimize a Game.
class	CompetitiveCoevolutionProblemAdapter This class is used by the sub populations of a competitive coevolution algorithm.
class	GameLearningOptimizationProblem Optimize either a single player game or a game against hand coded opponents
class	PerformanceEvaluationOptimizationProblem

Uses of OptimisationProblem in net.sourceforge.cilib.problem.mappingproblem

Classes in net.sourceforge.cilib.problem.mappingproblem that implement OptimisationProblem

class	FunctionDimensionMappingProblem TODO: Complete this javadoc.
class	LinearMappingProblem This class provides an adapter for implementation of NonlinearMapping evaluation functions.
class	MappingProblem Abstract MappingProblem class that allows for implementing methods of mapping high-dimensional data onto lower dimensions.

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

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

void	ChargedParticle.initialise(OptimisationProblem problem)

Uses of OptimisationProblem in net.sourceforge.cilib.pso.particle

Methods in net.sourceforge.cilib.pso.particle with parameters of type OptimisationProblem

void	DeviationDecorator.initialise(OptimisationProblem problem) The initialise method overrides the parent class initialise method.
void	ParticleDecorator.initialise(OptimisationProblem problem)
void	StandardParticle.initialise(OptimisationProblem problem) Intialise the Entity to something meaningful and within the problem space.

Uses of OptimisationProblem in net.sourceforge.cilib.pso.particle.initialisation

Methods in net.sourceforge.cilib.pso.particle.initialisation with parameters of type OptimisationProblem

void	RandomizedPositionInitialisationStrategy.initialise(Particle particle, OptimisationProblem problem) Deprecated.
void	PositionInitialisationStrategy.initialise(Particle particle, OptimisationProblem problem)
void	DataSetBasedPositionInitialisationStrategy.initialise(Particle particle, OptimisationProblem problem) Initialize the position and best position of the given Particle from the current dataset using the DataSetBasedCentroidsInitialisationStrategy.