Catalano.Evolutionary.Metaheuristics.Monoobjective

Class FireflyOptimization

java.lang.Object

Catalano.Evolutionary.Metaheuristics.Monoobjective.BaseEvolutionaryOptimization

Catalano.Evolutionary.Metaheuristics.Monoobjective.FireflyOptimization

public class FireflyOptimization
extends BaseEvolutionaryOptimization

Firefly Optimization (FA). The firefly algorithm is a metaheuristic proposed by Xin-She Yang and inspired by the flashing behaviour of fireflies.

Constructor Summary

Constructors

Constructor and Description
FireflyOptimization() Initializes a new instance of the FireflyOptimization class.
FireflyOptimization(int population, int generations) Initializes a new instance of the FireflyOptimization class.
FireflyOptimization(int population, int generations, double alpha, double beta0, double gamma) Initializes a new instance of the FireflyOptimization class.
FireflyOptimization(int population, int generations, double alpha, double beta0, double gamma, double alphaDamp, double delta) Initializes a new instance of the FireflyOptimization class.

Method Summary

Modifier and Type	Method and Description
void	Compute(IObjectiveFunction function, java.util.List<DoubleRange> boundConstraint) Compute the algorithm.
double	getAttractionCoefficient() Get attraction coefficient
double	getDampingRatio() Get damping ratio
double	getLightAbsorptionCoefficient() Get light absorption coefficient.
double	getMutationCoefficient() Get mutation coefficient.
double	getUniformMutationRatio() Get uniform mutation ratio.
void	setAttractionCoefficient(double beta0) Set Attraction Coefficient.
void	setDampingRatio(double damp) Set damping ratio.
void	setLightAbsorptionCoefficient(double gamma) Set light absorption coefficient.
void	setMutationCoefficient(double alpha) Set mutation coefficient.
void	setUniformMutationRatio(double delta) Set uniform mutation ratio.

Methods inherited from class Catalano.Evolutionary.Metaheuristics.Monoobjective.BaseEvolutionaryOptimization

getBest, getError, getGenerations, getNumberOfEvaluations, getPopulationSize, getTolerance, setGenerations, setOnIteratorListener, setPopulationSize, setTolerance

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

FireflyOptimization

public FireflyOptimization()

Initializes a new instance of the FireflyOptimization class.

FireflyOptimization

public FireflyOptimization(int population,
                           int generations)

Initializes a new instance of the FireflyOptimization class.

Parameters:

population - Number of population.

generations - Number of generations.

FireflyOptimization

public FireflyOptimization(int population,
                           int generations,
                           double alpha,
                           double beta0,
                           double gamma)

Initializes a new instance of the FireflyOptimization class.

Parameters:

population - Number of population.

generations - Number of generations.

alpha - Mutation coefficient.

beta0 - Attraction Coefficient Base Value.

gamma - Light Absorption Coefficient.

FireflyOptimization

public FireflyOptimization(int population,
                           int generations,
                           double alpha,
                           double beta0,
                           double gamma,
                           double alphaDamp,
                           double delta)

Initializes a new instance of the FireflyOptimization class.

Parameters:

population - Number of population.

generations - Number of generations.

alpha - Mutation coefficient.

beta0 - Attraction Coefficient Base Value.

gamma - Light Absorption Coefficient.

alphaDamp - Mutation Coefficient Damping Ratio.

delta - Uniform Mutation Range Base Value.

Method Detail

getMutationCoefficient

public double getMutationCoefficient()

Get mutation coefficient.

Returns:

Alpha value.

setMutationCoefficient

public void setMutationCoefficient(double alpha)

Set mutation coefficient.

Parameters:

alpha - Alpha value.

getAttractionCoefficient

public double getAttractionCoefficient()

Get attraction coefficient

Returns:

Beta0 value.

setAttractionCoefficient

public void setAttractionCoefficient(double beta0)

Set Attraction Coefficient.

Parameters:

beta0 - Beta0 value.

getLightAbsorptionCoefficient

public double getLightAbsorptionCoefficient()

Get light absorption coefficient.

Returns:

Gamma value.

setLightAbsorptionCoefficient

public void setLightAbsorptionCoefficient(double gamma)

Set light absorption coefficient.

Parameters:

gamma - Gamma value.

getDampingRatio

public double getDampingRatio()

Get damping ratio

Returns:

Damping value.

setDampingRatio

public void setDampingRatio(double damp)

Set damping ratio.

Parameters:

damp - Damping value.

getUniformMutationRatio

public double getUniformMutationRatio()

Get uniform mutation ratio.

Returns:

Delta value.

setUniformMutationRatio

public void setUniformMutationRatio(double delta)

Set uniform mutation ratio.

Parameters:

delta - Delta value.

Compute

public void Compute(IObjectiveFunction function,
                    java.util.List<DoubleRange> boundConstraint)

Description copied from class: BaseEvolutionaryOptimization

Compute the algorithm.

Specified by:

Compute in class BaseEvolutionaryOptimization

Parameters:

function - Function.

boundConstraint - Bounds constraints.