Uses of Class
net.sourceforge.cilib.functions.Function

Packages that use Function

net.sourceforge.cilib.functions	Collection of different types of functions.
net.sourceforge.cilib.functions.activation
net.sourceforge.cilib.functions.clustering
net.sourceforge.cilib.functions.clustering.validityindices
net.sourceforge.cilib.functions.continuous	TODO: Complete this javadoc.
net.sourceforge.cilib.functions.continuous.decorators
net.sourceforge.cilib.functions.continuous.dynamic
net.sourceforge.cilib.functions.continuous.dynamic.moo.fda1
net.sourceforge.cilib.functions.continuous.dynamic.moo.fda2
net.sourceforge.cilib.functions.continuous.unconstrained
net.sourceforge.cilib.functions.discrete
net.sourceforge.cilib.measurement.single
net.sourceforge.cilib.neuralnetwork.testarea
net.sourceforge.cilib.problem

Uses of Function in net.sourceforge.cilib.functions

Subclasses of Function in net.sourceforge.cilib.functions

class	ContinuousFunction
class	DiscreteFunction

Constructors in net.sourceforge.cilib.functions with parameters of type Function

Function(Function copy)
Create a copy of the provided instance.

Uses of Function in net.sourceforge.cilib.functions.activation

Subclasses of Function in net.sourceforge.cilib.functions.activation

class	ActivationFunction Activation functions are functions that are typically used within Neurons.
class	Sigmoid The generalised sigmoid function.

Uses of Function in net.sourceforge.cilib.functions.clustering

Subclasses of Function in net.sourceforge.cilib.functions.clustering

class	ClusteringFitnessFunction This abstract class defines member variables and member functions that can be used by subclasses to calculate the fitness of a particular clustering in their respective evaluate methods. This class makes extensive use of the ClusteringUtils helper class.
class	InterClusterDistance This clustering fitness function will probably never be used to train on directly.
class	IntraClusterDistance This clustering fitness function will probably never be used to train on directly.
class	KHarmonicMeansFunction This is the k-harmonic means clustering fitness function.
class	NonParametricClusteringFunction This class makes use of the helper/member functions defined and implemented in {@linkplain ClusteringFitnessFunction) to calculate a non-parameterised fitness of a particular clustering in the calculateFitness method.
class	ParametricClusteringFunction This class makes use of the helper/member functions defined and implemented in ClusteringFitnessFunction to calculate a parameterised fitness of a particular clustering in the calculateFitness method.
class	ParametricWithQuantisationErrorFunction This class makes use of the helper/member functions defined and implemented in {@linkplain ClusteringFitnessFunction) to calculate an improved parameterised fitness of a particular clustering in the calculateFitness method.
class	QuantisationErrorFunction This class makes use of the helper/member functions defined and implemented in ClusteringFitnessFunction to calculate the Quantisation Error of a particular clustering in the calculateFitness method.

Uses of Function in net.sourceforge.cilib.functions.clustering.validityindices

Subclasses of Function in net.sourceforge.cilib.functions.clustering.validityindices

class	DaviesBouldinIndex This is the Davies-Bouldin Validity Index.
class	DunnIndex This is the Dunn Validity Index.
class	DunnIndex33 This is the Dunn Index 33.
class	DunnIndex53 DunnIndex53.
class	GeneralisedDunnIndex This is the Generalised Dunn Index.
class	HalkidiVazirgiannisIndex This is the Halkidi-Vazirgiannis Validity Index.
class	MaulikBandyopadhyayIndex MaulikBandyopadhyayIndex.
class	ScatterSeperationRatio The ScatterSeperationRatio class was created due to the fact that some validity indices make use of the cluster scatter and cluster seperation concepts.
class	TuriIndex This is the Turi Validity Index as given in Section 3.1.4 on page 66 of Mahamed G.
class	VeenmanReindersBackerIndex This is the Veenman-Reinders-Backer Validity Index.

Uses of Function in net.sourceforge.cilib.functions.continuous

Subclasses of Function in net.sourceforge.cilib.functions.continuous

class	ContinuousStep The continuous Step function.
class	ExpressionFunction A Function class that defines a function based on a predefined string which is parsed and interpreted during evaluation.
class	Foxholes This is an implementation of the Foxholes function.
class	FunctionDimensionMapping TODO: Complete this javadoc.
class	GoldsteinPrice The Goldstein-Price function. Minimum: f(x) = 3; x = (0, -1) -2 <= x <= 2
class	Himmelblau The Himmelblau function.
class	HyperEllipsoid HyperEllipsoid.
class	MaximumDeratingFunction1
class	Michalewicz12 Michalewicz function.
class	MultimodalFunction1 TODO: Complete this javadoc.
class	MultimodalFunction2
class	MultimodalFunction3 TODO: Complete this javadoc.
class	MultimodalFunction4 TODO: Complete this javadoc.
class	MultimodalFunction5 TODO: Complete this javadoc.
class	NastyBenchmark TODO: Complete this javadoc.
class	Neumaier3
class	NichePSOF1
class	Quadric
class	Quartic The Quartic function.
class	Ripple Ripple function.
class	Salomon Salomon function.
class	Schaffer2
class	Schaffer6 The Schaffer F6 function.
class	Schwefel Schwefel function.
class	SchwefelProblem1_2 SchwefelProblem1_2.
class	SchwefelProblem2_21 SchwefelProblem2_21.
class	SchwefelProblem2_22 SchwefelProblem2_22.
class	SchwefelProblem2_26 SchwefelProblem 2_26.
class	ShekelN
class	ShekelsFoxholes ShekelsFoxholes function.
class	Shir The Damavandi function obtained from O.M.
class	Shubert Shubert function.
class	SixHumpCamelBack SixHumpCamelBack function.
class	Step TODO: Complete this javadoc.
class	UrsemF1 UrsemF1 function.
class	UrsemF3 UrsemF3 function.
class	UrsemF4 UrsemF4 function.

Uses of Function in net.sourceforge.cilib.functions.continuous.decorators

Subclasses of Function in net.sourceforge.cilib.functions.continuous.decorators

class	AngleModulation A Decorator pattern class to wrap a normal function to perform Angle Modulation.
class	InvertedFunctionDecorator Function implementation to accept a function and to return the reciprocal of that function value.
class	NoisyFunctionDecorator
class	ReflectedFunctionDecorator Class to reflect the wrapped Function in a horizontal or vertical fashion.
class	RotatedFunctionDecorator
class	ScaledFunctionDecorator Characteristics: Let c be a fixed positive number.
class	ShiftedFunctionDecorator ShiftedFunctionDecorator.

Methods in net.sourceforge.cilib.functions.continuous.decorators that return Function

Function	InvertedFunctionDecorator.getFunction()
Function	AngleModulation.getFunction()

Methods in net.sourceforge.cilib.functions.continuous.decorators with parameters of type Function

void	InvertedFunctionDecorator.setFunction(Function function)
void	AngleModulation.setFunction(Function decoratedFunciton)

Uses of Function in net.sourceforge.cilib.functions.continuous.dynamic

Subclasses of Function in net.sourceforge.cilib.functions.continuous.dynamic

class

MovingPeaks

Uses of Function in net.sourceforge.cilib.functions.continuous.dynamic.moo.fda1

Subclasses of Function in net.sourceforge.cilib.functions.continuous.dynamic.moo.fda1

class	FDA1_f1 This function is the f1 function of the FDA1 problem defined on page 428 in the following paper: M.Farina, K.Deb, P.Amato.
class	FDA1_f2 This function is the g*h function of the FDA1 problem defined on page 428 in the following paper: M.Farina, K.Deb, P.Amato.
class	FDA1_g This function is the g function of the FDA1 problem defined on page 428 in the following paper: M.Farina, K.Deb, P.Amato.
class	FDA1_h This function is the h function of the FDA1 problem defined on page 428 in the following paper: M.Farina, K.Deb, P.Amato.

Uses of Function in net.sourceforge.cilib.functions.continuous.dynamic.moo.fda2

Subclasses of Function in net.sourceforge.cilib.functions.continuous.dynamic.moo.fda2

class	FDA2_f1 This function is the f1 function of the FDA2 problem defined on page 429 in the following paper: M.Farina, K.Deb, P.Amato.
class	FDA2_f2 This function is the g*h function of the FDA2 problem defined on page 428 in the following paper: M.Farina, K.Deb, P.Amato.
class	FDA2_g This function is the g function of the FDA2 problem defined on page 429 in the following paper: M.Farina, K.Deb, P.Amato.
class	FDA2_h This function is the h function of the FDA2 problem defined on page 429 in the following paper: M.Farina, K.Deb, P.Amato.

Uses of Function in net.sourceforge.cilib.functions.continuous.unconstrained

Subclasses of Function in net.sourceforge.cilib.functions.continuous.unconstrained

class	AbsoluteValue The Absolute Value Function.
class	Ackley The Generalized Ackley.
class	Beale Beale Function.
class	Bird Bird Function
class	Bohachevsky1 Bohachevsky 1
class	Bohachevsky2 Bohachevsky 2.
class	Bohachevsky3 Bohachevsky 3.
class	Booth Booth Function
class	Branin Booth Function
class	Bukin4 Bukin 4 Function.
class	Bukin6 Bukin 6 Function.
class	Colville The Colville Function.
class	Damavandi The Damavandi function obtained from N.
class	Easom Easom function as taken from www-optima.amp.i.kyoto-u.ac.jp/member/student/hedar/Hedar_files/TestGO_files
class	Griewank Generalised Griewank function.
class	Michalewicz Michalewicz funtion 12.
class	Rastrigin The rastrigin function.
class	Rosenbrock Generalised Rosenbrock function.
class	Spherical Spherical function.

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

Subclasses of Function in net.sourceforge.cilib.functions.discrete

class	BinaryAdapter Class to convert a binary vector into a continuous vector for optimisation of continous problems by a binary optimiser.
class	BitStringMatcher Discrete function to match the given bit string or a randomly generated bit string.
class	KnapSack Perform the knapsack problem optimisation.
class	KnightsCoverage
class	KnightsTour An implementation of the Knight's Tour problem function.
class	LongestCommonSubsequence Implementation of the Longest Common Subsequence problem.
class	Queens Implementation of the a function to return the fitness of the Queens problem.

Methods in net.sourceforge.cilib.functions.discrete that return Function

Function

BinaryAdapter.getFunction()

Methods in net.sourceforge.cilib.functions.discrete with parameters of type Function

void	BinaryAdapter.setFunction(Function function)

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

Methods in net.sourceforge.cilib.measurement.single that return Function

Function

GenericFunctionMeasurement.getFunction() Get the set function.

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

void	GenericFunctionMeasurement.setFunction(Function f) Set the function.

Uses of Function in net.sourceforge.cilib.neuralnetwork.testarea

Subclasses of Function in net.sourceforge.cilib.neuralnetwork.testarea

class

NNFunctionAdapter TODO: Complete this javadoc.

Uses of Function in net.sourceforge.cilib.problem

Fields in net.sourceforge.cilib.problem declared as Function

protected Function

FunctionOptimisationProblem.function

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

Function	DeratingFunctionMaximisationProblem.getDeratingFunction() This method gets the function that is used to modify the search space, i.e.
Function	FunctionOptimisationProblem.getFunction() Accessor for the function that is to be optimised.
Function	FunctionLearningProblem.getFunction()

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

void	DeratingFunctionMaximisationProblem.setDeratingFunction(Function deratingFunction) This is an accessor method that can be used to set the deratingFunction that is used to modify the search space.
void	FunctionOptimisationProblem.setFunction(Function function) Sets the function that is to be optimised.
void	FunctionLearningProblem.setFunction(Function function)
void	DeratingFunctionMaximisationProblem.setFunction(Function function) This method sets the function to evaluate (that is the search space).

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

FunctionLearningProblem(Function function, int sampleSetSize, double trainingSetPercentage, NeuralNetworkProblem neuralNetwork)