Catalano.Evolutionary.Metaheuristics.Monoobjective

Class RealCodedGeneticAlgorithm

java.lang.Object

Catalano.Evolutionary.Metaheuristics.Monoobjective.BaseEvolutionaryOptimization

Catalano.Evolutionary.Metaheuristics.Monoobjective.RealCodedGeneticAlgorithm

public class RealCodedGeneticAlgorithm
extends BaseEvolutionaryOptimization

Real Coded Genetic Algorithm.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	RealCodedGeneticAlgorithm.Selection

Constructor Summary

Constructors

Constructor and Description
RealCodedGeneticAlgorithm() Initializes a new instance of the RealCodedGeneticAlgorithm class.
RealCodedGeneticAlgorithm(int population, int generations) Initializes a new instance of the RealCodedGeneticAlgorithm class.
RealCodedGeneticAlgorithm(int population, int generations, float crossoverPercentage, float mutationPercentage) Initializes a new instance of the RealCodedGeneticAlgorithm class.
RealCodedGeneticAlgorithm(int population, int generations, float crossoverPercentage, float mutationPercentage, RealCodedGeneticAlgorithm.Selection selection) Initializes a new instance of the RealCodedGeneticAlgorithm class.

Method Summary

Modifier and Type	Method and Description
void	Compute(IObjectiveFunction function, java.util.List<DoubleRange> boundConstraint) Compute the algorithm.

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

RealCodedGeneticAlgorithm

public RealCodedGeneticAlgorithm()

Initializes a new instance of the RealCodedGeneticAlgorithm class.

RealCodedGeneticAlgorithm

public RealCodedGeneticAlgorithm(int population,
                                 int generations)

Initializes a new instance of the RealCodedGeneticAlgorithm class.

Parameters:

population - Initial population.

generations - Generations.

RealCodedGeneticAlgorithm

public RealCodedGeneticAlgorithm(int population,
                                 int generations,
                                 float crossoverPercentage,
                                 float mutationPercentage)

Initializes a new instance of the RealCodedGeneticAlgorithm class.

Parameters:

population - Initial population.

generations - Generations.

crossoverPercentage - Crossover percentage.

mutationPercentage - Mutation percentage.

RealCodedGeneticAlgorithm

public RealCodedGeneticAlgorithm(int population,
                                 int generations,
                                 float crossoverPercentage,
                                 float mutationPercentage,
                                 RealCodedGeneticAlgorithm.Selection selection)

Initializes a new instance of the RealCodedGeneticAlgorithm class.

Parameters:

population - Initial population.

generations - Generations.

crossoverPercentage - Crossover percentage.

mutationPercentage - Mutation percentage.

selection - Selection method.

Method Detail

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.