Catalano.Evolutionary.Metaheuristics.Monoobjective

Class RealCodedSimulatedAnnealing

java.lang.Object

Catalano.Evolutionary.Metaheuristics.Monoobjective.BaseEvolutionaryOptimization

Catalano.Evolutionary.Metaheuristics.Monoobjective.RealCodedSimulatedAnnealing

public class RealCodedSimulatedAnnealing
extends BaseEvolutionaryOptimization

Simulated Annealing for Continuous space domain.

Constructor Summary

Constructors

Constructor and Description
RealCodedSimulatedAnnealing() Initialize a new instance of the RealCodedSimulatedAnnealing class.
RealCodedSimulatedAnnealing(int population, int iterations) Initialize a new instance of the RealCodedSimulatedAnnealing class.
RealCodedSimulatedAnnealing(int population, int iterations, int maxSub) Initialize a new instance of the RealCodedSimulatedAnnealing class.
RealCodedSimulatedAnnealing(int population, int iterations, int maxSub, double t0) Initialize a new instance of the RealCodedSimulatedAnnealing class.
RealCodedSimulatedAnnealing(int population, int iterations, int maxSub, double t0, double alpha) Initialize a new instance of the RealCodedSimulatedAnnealing class.
RealCodedSimulatedAnnealing(int population, int iterations, int maxSub, double t0, double alpha, int move) Initialize a new instance of the RealCodedSimulatedAnnealing class.
RealCodedSimulatedAnnealing(int population, int iterations, int maxSub, double t0, double alpha, int move, double mu) Initialize a new instance of the RealCodedSimulatedAnnealing class.
RealCodedSimulatedAnnealing(int population, int iterations, int maxSub, double t0, double alpha, int move, double mu, double sigma) Initialize a new instance of the RealCodedSimulatedAnnealing class.

Method Summary

Modifier and Type	Method and Description
void	Compute(IObjectiveFunction function, java.util.List<DoubleRange> boundConstraint) Compute the algorithm.
double	getError() Get the error.
double	getInitialTemperature() Get initial temperature.
int	getMaxSubIterations() Get maximum sub iterations.
double	getMutationRange() Get mutation range.
double	getMutationRate() Get mutation rate.
int	getNumberOfNeighbors() Get number of neighbors.
double	getTemperatureReduction() Get temperature reduction.
void	setInitialTemperature(double t0) Set initial temperature.
void	setMaxSubIterations(int maxSub) Set maximum sub iterations.
void	setMutationRange(double sigma) Set mutation range.
void	setMutationRate(double mu) Set mutation rate.
void	setNumberOfNeighbors(int move) Set number of neighbors.
void	setTemperatureReduction(double alpha) Set temperature reduction.

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

getBest, 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

RealCodedSimulatedAnnealing

public RealCodedSimulatedAnnealing()

Initialize a new instance of the RealCodedSimulatedAnnealing class.

RealCodedSimulatedAnnealing

public RealCodedSimulatedAnnealing(int population,
                                   int iterations)

Initialize a new instance of the RealCodedSimulatedAnnealing class.

Parameters:

population - Population

iterations - Iterations.

RealCodedSimulatedAnnealing

public RealCodedSimulatedAnnealing(int population,
                                   int iterations,
                                   int maxSub)

Initialize a new instance of the RealCodedSimulatedAnnealing class.

Parameters:

population - Population.

iterations - Iterations.

maxSub - Maximum sub iterations.

RealCodedSimulatedAnnealing

public RealCodedSimulatedAnnealing(int population,
                                   int iterations,
                                   int maxSub,
                                   double t0)

Initialize a new instance of the RealCodedSimulatedAnnealing class.

Parameters:

population - Population.

iterations - Iterations.

maxSub - Maximum sub iterations.

t0 - Initial temperature.

RealCodedSimulatedAnnealing

public RealCodedSimulatedAnnealing(int population,
                                   int iterations,
                                   int maxSub,
                                   double t0,
                                   double alpha)

Initialize a new instance of the RealCodedSimulatedAnnealing class.

Parameters:

population - Population.

iterations - Iterations.

maxSub - Maximum sub iterations.

t0 - Initial temperature.

alpha - Temperature reduction rate.

RealCodedSimulatedAnnealing

public RealCodedSimulatedAnnealing(int population,
                                   int iterations,
                                   int maxSub,
                                   double t0,
                                   double alpha,
                                   int move)

Initialize a new instance of the RealCodedSimulatedAnnealing class.

Parameters:

population - Population.

iterations - Iterations.

maxSub - Maximum sub iterations.

t0 - Initial temperature.

alpha - Temperature reduction rate.

move - Number of neighbors per individual.

RealCodedSimulatedAnnealing

public RealCodedSimulatedAnnealing(int population,
                                   int iterations,
                                   int maxSub,
                                   double t0,
                                   double alpha,
                                   int move,
                                   double mu)

Initialize a new instance of the RealCodedSimulatedAnnealing class.

Parameters:

population - Population.

iterations - Iterations.

maxSub - Maximum sub iterations.

t0 - Initial temperature.

alpha - Temperature reduction rate.

move - Number of neighbors per individual.

mu - Mutation rate.

RealCodedSimulatedAnnealing

public RealCodedSimulatedAnnealing(int population,
                                   int iterations,
                                   int maxSub,
                                   double t0,
                                   double alpha,
                                   int move,
                                   double mu,
                                   double sigma)

Initialize a new instance of the RealCodedSimulatedAnnealing class.

Parameters:

population - Population.

iterations - Iterations.

maxSub - Maximum sub iterations.

t0 - Initial temperature.

alpha - Temperature reduction rate.

move - Number of neighbors per individual.

mu - Mutation rate.

sigma - Mutation range.

Method Detail

getMaxSubIterations

public int getMaxSubIterations()

Get maximum sub iterations.

Returns:

Maximum sub iterations.

setMaxSubIterations

public void setMaxSubIterations(int maxSub)

Set maximum sub iterations.

Parameters:

maxSub - Maximum sub iterations.

getInitialTemperature

public double getInitialTemperature()

Get initial temperature.

Returns:

Initial temperature.

setInitialTemperature

public void setInitialTemperature(double t0)

Set initial temperature.

Parameters:

t0 - Initial temperature.

getTemperatureReduction

public double getTemperatureReduction()

Get temperature reduction.

Returns:

Temperature reduction.

setTemperatureReduction

public void setTemperatureReduction(double alpha)

Set temperature reduction.

Parameters:

alpha - Temperature reduction.

getNumberOfNeighbors

public int getNumberOfNeighbors()

Get number of neighbors.

Returns:

Number of neighbors.

setNumberOfNeighbors

public void setNumberOfNeighbors(int move)

Set number of neighbors.

Parameters:

move - Number of neighbors.

getMutationRate

public double getMutationRate()

Get mutation rate.

Returns:

Mutation rate.

setMutationRate

public void setMutationRate(double mu)

Set mutation rate.

Parameters:

mu - Mutation rate.

getMutationRange

public double getMutationRange()

Get mutation range.

Returns:

Mutation range.

setMutationRange

public void setMutationRange(double sigma)

Set mutation range.

Parameters:

sigma - Mutation range.

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.

getError

public double getError()

Description copied from class: BaseEvolutionaryOptimization

Get the error.

Overrides:

getError in class BaseEvolutionaryOptimization

Returns:

Error.