Uses of Class
net.sourceforge.cilib.algorithm.Algorithm

Packages that use Algorithm

net.sourceforge.cilib.algorithm	The Algorithm package provides the generic algorithm foundation for all Algorithm instances.
net.sourceforge.cilib.algorithm.population
net.sourceforge.cilib.bioinf.rnaprediction
net.sourceforge.cilib.bioinf.sequencealignment
net.sourceforge.cilib.boa
net.sourceforge.cilib.clustering.kmeans
net.sourceforge.cilib.coevolution
net.sourceforge.cilib.cooperative
net.sourceforge.cilib.cooperative.algorithmiterators
net.sourceforge.cilib.ec
net.sourceforge.cilib.entity.visitor
net.sourceforge.cilib.hs
net.sourceforge.cilib.measurement
net.sourceforge.cilib.measurement.generic
net.sourceforge.cilib.measurement.multiple
net.sourceforge.cilib.measurement.single
net.sourceforge.cilib.measurement.single.diversity
net.sourceforge.cilib.neuralnetwork.foundation
net.sourceforge.cilib.neuralnetwork.foundation.measurements
net.sourceforge.cilib.neuralnetwork.generic.evaluationmediators
net.sourceforge.cilib.pso
net.sourceforge.cilib.pso.dynamic
net.sourceforge.cilib.pso.niching
net.sourceforge.cilib.simulator
net.sourceforge.cilib.stoppingcondition
net.sourceforge.cilib.xml

Uses of Algorithm in net.sourceforge.cilib.algorithm

Subclasses of Algorithm in net.sourceforge.cilib.algorithm

class	MultistartOptimisationAlgorithm MultistartOptimisationAlgorithm is simply a wrapper.
class	SingularAlgorithm This class is the abstract base for all algorithms that do not fall within the normal Computational Intelligence type of algorithm.

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

static Algorithm	Algorithm.get() Accessor for the top-level currently executing algorithm running in the current thread.
abstract Algorithm	Algorithm.getClone() Create a cloned copy of the current object and return it.
Algorithm	AlgorithmEvent.getSource() Accessor for the source algorithm.
Algorithm	AlgorithmFactory.newAlgorithm() Returns a newly constructed algorithm.
Algorithm	AlgorithmStack.peek() Get the Algorithm that is currently at the top of the stack.
Algorithm	AlgorithmStack.pop() Remove the current top of the stack and return it.

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

List<Algorithm>	AlgorithmStack.asList() Return an unmodifiable list of Algorithm instances.
static List<Algorithm>	Algorithm.getAlgorithmList() Static accessor to allow the current level of algorithm composition to be returned.

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

void	AlgorithmStack.push(Algorithm algorithm) Push the current Algorithm onto the stack.
void	MultistartOptimisationAlgorithm.setTargetAlgorithm(Algorithm algorithm) Sets the target optimisation algorithm that is subject to restarting.

Constructors in net.sourceforge.cilib.algorithm with parameters of type Algorithm

Algorithm(Algorithm copy)
Copy constructor.

AlgorithmEvent(Algorithm source)
Creates a new instance of AlgorithmEvent with a given source algorithm.

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

Subclasses of Algorithm 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	PopulationBasedAlgorithm Base class for all algorithms that manage a collection of entities in some manner.
class	SinglePopulationBasedAlgorithm Base class for algorithms that focus on a single populations of entities.

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

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

class

RNAPSO

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

Type	RNAStructureMeasurement.getValue(Algorithm algorithm)
Type	RNAAccuracyMeasurement.getValue(Algorithm algorithm)

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

Methods in net.sourceforge.cilib.bioinf.sequencealignment with parameters of type Algorithm

Type	AlignmentVisualizer.getValue(Algorithm algorithm)
void	DesiredMaximizationFitness.setAlgorithm(Algorithm algorithm)

Uses of Algorithm in net.sourceforge.cilib.boa

Subclasses of Algorithm in net.sourceforge.cilib.boa

class

ABC An implementation of the Artificial Bee Colony Algorithm.

Uses of Algorithm in net.sourceforge.cilib.clustering.kmeans

Subclasses of Algorithm in net.sourceforge.cilib.clustering.kmeans

class

KMeans This algorithm is an implementation of the KMeans Clustering algorithm.

Methods in net.sourceforge.cilib.clustering.kmeans that return Algorithm

Algorithm

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

Uses of Algorithm in net.sourceforge.cilib.coevolution

Subclasses of Algorithm in net.sourceforge.cilib.coevolution

class

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

Uses of Algorithm in net.sourceforge.cilib.cooperative

Subclasses of Algorithm in net.sourceforge.cilib.cooperative

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

Uses of Algorithm in net.sourceforge.cilib.cooperative.algorithmiterators

Classes in net.sourceforge.cilib.cooperative.algorithmiterators with type parameters of type Algorithm

class	RandomAlgorithmIterator<E extends Algorithm> Iterate through a list of Algorithms in a random order.
class	SequentialAlgorithmIterator<E extends Algorithm> Iterate through a list of Algorithms in a sequential order.

Uses of Algorithm in net.sourceforge.cilib.ec

Subclasses of Algorithm in net.sourceforge.cilib.ec

class

EC Generic EC skeleton algorithm.

Uses of Algorithm in net.sourceforge.cilib.entity.visitor

Fields in net.sourceforge.cilib.entity.visitor declared as Algorithm

protected Algorithm

TopologyVisitor.currentAlgorithm

Methods in net.sourceforge.cilib.entity.visitor that return Algorithm

Algorithm

TopologyVisitor.getCurrentAlgorithm()

Methods in net.sourceforge.cilib.entity.visitor with parameters of type Algorithm

void	TopologyVisitor.setCurrentAlgorithm(Algorithm currentAlgorithm)

Uses of Algorithm in net.sourceforge.cilib.hs

Subclasses of Algorithm in net.sourceforge.cilib.hs

class

HS Harmony Search as published in K.S.

Uses of Algorithm in net.sourceforge.cilib.measurement

Methods in net.sourceforge.cilib.measurement with parameters of type Algorithm

MeasurementMemento	MeasurementStateManager.getState(Algorithm algorithm, StateAwareMeasurement measurement) Extract the state of the provided measurement based on the current provided algorithm.
Type	Measurement.getValue(Algorithm algorithm) Get the value of the measurement.
void	MeasurementStateManager.setState(Algorithm algorithm, StateAwareMeasurement measurement) Restore the current state of the measurement which is assigned to the provided algorithm instance.

Uses of Algorithm in net.sourceforge.cilib.measurement.generic

Methods in net.sourceforge.cilib.measurement.generic with parameters of type Algorithm

Type	PercentageComplete.getValue(Algorithm algorithm)
Type	Iterations.getValue(Algorithm algorithm) Get the value of the measurement.
Type	Time.getValue(Algorithm algorithm) Get the value of the measurement.
Type	Restarts.getValue(Algorithm algorithm) Get the value of the measurement.

Uses of Algorithm in net.sourceforge.cilib.measurement.multiple

Methods in net.sourceforge.cilib.measurement.multiple with parameters of type Algorithm

Type	MultipleSolutions.getValue(Algorithm algorithm) Deprecated.
Type	MultiPopulationFitness.getValue(Algorithm algorithm) Get the value of the measurement.
Type	MultipleFitness.getValue(Algorithm algorithm) Deprecated. Get the value of the measurement.
Type	ParetoOptimalFront.getValue(Algorithm algorithm)
Type	CompositeMeasurement.getValue(Algorithm algorithm) Get the measurement values for all sub-algorithms.
Type	ParetoOptimalSet.getValue(Algorithm algorithm)

Uses of Algorithm in net.sourceforge.cilib.measurement.single

Methods in net.sourceforge.cilib.measurement.single with parameters of type Algorithm

Type	SpatialExtent.getValue(Algorithm algorithm)
Type	Diameter.getValue(Algorithm algorithm) Get the value of the measurement.
Type	Solution.getValue(Algorithm algorithm) Get the value of the measurement.
Type	ParticlePositions.getValue(Algorithm algorithm) Get the value of the measurement.
Type	StoredFitness.getValue(Algorithm algorithm) Get the value of the measurement.
Type	PbestBoundViolations.getValue(Algorithm algorithm) Get the value of the measurement.
Type	FitnessEvaluations.getValue(Algorithm algorithm) Get the value of the measurement.
Type	NumberOfClustersFormed.getValue(Algorithm algorithm)
Type	DimensionBoundViolationsPerParticle.getValue(Algorithm algorithm) Get the value of the measurement.
Type	BestParticlePosition.getValue(Algorithm algorithm) Get the value of the measurement.
Type	GenericFunctionMeasurement.getValue(Algorithm algorithm) Get the value of the measurement.
Type	BestPositionBoundViolations.getValue(Algorithm algorithm) Get the value of the measurement.
Type	NormalisedDiversity.getValue(Algorithm algorithm) Get the value of the measurement.
Type	Diversity.getValue(Algorithm algorithm)
Type	EuclideanDiversityAroundGBest.getValue(Algorithm algorithm)
Type	Fitness.getValue(Algorithm algorithm) Get the value of the measurement.
Type	ConvergedDimensions.getValue(Algorithm algorithm) Get the value of the measurement.
Type	FunctionOptimisationError.getValue(Algorithm algorithm)
Type	ParticleBoundViolations.getValue(Algorithm algorithm) Get the value of the measurement.

Uses of Algorithm in net.sourceforge.cilib.measurement.single.diversity

Methods in net.sourceforge.cilib.measurement.single.diversity with parameters of type Algorithm

Type	Diversity.getValue(Algorithm algorithm)

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

Subclasses of Algorithm in net.sourceforge.cilib.neuralnetwork.foundation

class	EvaluationMediator
class	NeuralNetworkController Deprecated. This class is no longer viable - Please see EvaluationMediator

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

Algorithm

EvaluationMediator.getClone()

Uses of Algorithm in net.sourceforge.cilib.neuralnetwork.foundation.measurements

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

Type	DgPatternCount.getValue(Algorithm algorithm)
Type	ErrorDv.getValue(Algorithm algorithm)
Type	RobelOverfittingRho.getValue(Algorithm algorithm)
Type	DcPatternCount.getValue(Algorithm algorithm)
Type	DtPatternCount.getValue(Algorithm algorithm)
Type	ErrorDg.getValue(Algorithm algorithm)
Type	DvPatternCount.getValue(Algorithm algorithm)
Type	NNOutput.getValue(Algorithm algorithm)
Type	ErrorDt.getValue(Algorithm algorithm)
Type	AreaUnderROC.getValue(Algorithm algorithm)

Uses of Algorithm in net.sourceforge.cilib.neuralnetwork.generic.evaluationmediators

Subclasses of Algorithm in net.sourceforge.cilib.neuralnetwork.generic.evaluationmediators

class	FFNNEvaluationMediator Deprecated.
class	SAILAEvaluationMediator

Methods in net.sourceforge.cilib.neuralnetwork.generic.evaluationmediators that return Algorithm

Algorithm	FFNNEvaluationMediator.getClone() Deprecated.
Algorithm	SAILAEvaluationMediator.getClone()

Uses of Algorithm in net.sourceforge.cilib.pso

Subclasses of Algorithm 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 Algorithm in net.sourceforge.cilib.pso.dynamic

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

Type	MovingPeaksOfflinePerformanceMeasurement.getValue(Algorithm algorithm)
Type	MovingPeaksOfflineErrorMeasurement.getValue(Algorithm algorithm)

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

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

class

Niche

Uses of Algorithm in net.sourceforge.cilib.simulator

Methods in net.sourceforge.cilib.simulator with parameters of type Algorithm

protected int	SynchronizedOutputBuffer.getSampleId(Algorithm algorithm)
void	MeasurementSuite.measure(Algorithm algorithm) Measure the provided Algorithm.
void	SynchronizedOutputBuffer.writeMeasuredValue(Object value, Algorithm algorithm, Measurement measurement)

Uses of Algorithm in net.sourceforge.cilib.stoppingcondition

Methods in net.sourceforge.cilib.stoppingcondition with parameters of type Algorithm

void	MinimumFunctionMinimisationError.setAlgorithm(Algorithm algorithm)
void	OptimiserStalled.setAlgorithm(Algorithm algorithm) Sets the algorithm that this stopping condition should be applied to.
void	MinimumSwarmDiameter.setAlgorithm(Algorithm algorithm)
void	MaximumIterations.setAlgorithm(Algorithm algorithm) Sets the algorithm that this stopping condition should be applied to.
void	MaximumFitnessEvaluations.setAlgorithm(Algorithm algorithm)
void	StoppingCondition.setAlgorithm(Algorithm algorithm) Sets the algorithm that this stopping condition should be applied to.
void	MaximumRestarts.setAlgorithm(Algorithm algorithm)
void	MinimumDiversity.setAlgorithm(Algorithm a) Not used.
void	SingleIteration.setAlgorithm(Algorithm algorithm)

Uses of Algorithm in net.sourceforge.cilib.xml

Methods in net.sourceforge.cilib.xml that return Algorithm

Algorithm

XMLAlgorithmFactory.newAlgorithm() Returns a newly constructed algorithm.

Methods in net.sourceforge.cilib.xml with parameters of type Algorithm

void	XMLAlgorithmFactory.setAlgorithm(Algorithm algorithm)