Catalano.Evolutionary.Metaheuristics.Monoobjective

Class BaseEvolutionaryOptimization

java.lang.Object

Catalano.Evolutionary.Metaheuristics.Monoobjective.BaseEvolutionaryOptimization

Direct Known Subclasses:

BiogeographyBasedOptimization, ButterflyOptimizationAlgorithm, DifferentialEvolution, FireflyOptimization, GreyWolfOptimizer, HarmonySearch, JayaOptimization, ParticleSwarmOptimization, RealCodedGeneticAlgorithm, RealCodedSimulatedAnnealing, SalpSwarmAlgorithm, TeachingLearningBasedOptimization

public abstract class BaseEvolutionaryOptimization
extends java.lang.Object

Abstract class for evolutionary algorithms.

Constructor Summary

Constructors

Constructor and Description
BaseEvolutionaryOptimization()

Method Summary

Modifier and Type	Method and Description
abstract void	Compute(IObjectiveFunction function, java.util.List<DoubleRange> boundConstraints) Compute the algorithm.
double[]	getBest() Get best solution.
double	getError() Get the error.
int	getGenerations() Get number of generations.
long	getNumberOfEvaluations() Get number of evaluations.
int	getPopulationSize() Get population size.
double	getTolerance() Get tolerance.
void	setGenerations(int generations) Set number of generations
void	setOnIteratorListener(IEvoIterationListener listener) Set Iteration listener.
void	setPopulationSize(int populationSize) Set population size.
void	setTolerance(double tol) Set tolerance.

Methods inherited from class java.lang.Object

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

Constructor Detail

BaseEvolutionaryOptimization

public BaseEvolutionaryOptimization()

Method Detail

getPopulationSize

public int getPopulationSize()

Get population size.

Returns:

Population size.

setPopulationSize

public void setPopulationSize(int populationSize)

Set population size.

Parameters:

populationSize - Population size.

getGenerations

public int getGenerations()

Get number of generations.

Returns:

Number of generations.

setGenerations

public void setGenerations(int generations)

Set number of generations

Parameters:

generations - Generations.

getNumberOfEvaluations

public long getNumberOfEvaluations()

Get number of evaluations.

Returns:

Number of evaluations.

getTolerance

public double getTolerance()

Get tolerance.

Returns:

Tolerance.

setTolerance

public void setTolerance(double tol)

Set tolerance.

Parameters:

tol - Tolerance.

getError

public double getError()

Get the error.

Returns:

Error.

getBest

public double[] getBest()

Get best solution.

Returns:

Best solution.

setOnIteratorListener

public void setOnIteratorListener(IEvoIterationListener listener)

Set Iteration listener.

Parameters:

listener - Listener

Compute

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

Compute the algorithm.

Parameters:

function - Function.

boundConstraints - Bounds constraints.