org.opt4j.optimizer.ea

Class EvolutionaryAlgorithm

java.lang.Object

org.opt4j.core.optimizer.AbstractOptimizer

org.opt4j.optimizer.ea.EvolutionaryAlgorithm

All Implemented Interfaces:

Optimizer

public class EvolutionaryAlgorithm
extends AbstractOptimizer

The EvolutionaryAlgorithm is an implementation of an Evolutionary Algorithm based on the operators Crossover and Mutate. It uses a Selector for the mating and environmental selection.

Author:

lukasiewycz, glass

Constructor Summary

Constructors

Constructor and Description

EvolutionaryAlgorithm(Population population, Archive archive, IndividualFactory individualFactory, IndividualCompleter completer, Control control, Selector selector, Mating mating, Iteration iteration, int alpha, int mu, int lambda) Constructs an EvolutionaryAlgorithm with a Population, an Archive, an IndividualFactory, a IndividualCompleter, a Control, a Selector, a Mating, the number of generations, the population size, the number of parents, the number of offspring, and a random number generator.

Method Summary

Modifier and Type	Method and Description
void	optimize() Starts the optimization process.

Methods inherited from class org.opt4j.core.optimizer.AbstractOptimizer

addOptimizerIterationListener, addOptimizerStateListener, getIteration, isRunning, removeOptimizerIterationListener, removeOptimizerStateListener, startOptimization, stopOptimization

Methods inherited from class java.lang.Object

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

Constructor Detail

EvolutionaryAlgorithm

@Inject
public EvolutionaryAlgorithm(Population population,
                                     Archive archive,
                                     IndividualFactory individualFactory,
                                     IndividualCompleter completer,
                                     Control control,
                                     Selector selector,
                                     Mating mating,
                                     Iteration iteration,
                                     int alpha,
                                     int mu,
                                     int lambda)

Constructs an EvolutionaryAlgorithm with a Population, an Archive, an IndividualFactory, a IndividualCompleter, a Control, a Selector, a Mating, the number of generations, the population size, the number of parents, the number of offspring, and a random number generator.

Parameters:

population - the population

archive - the archive

individualFactory - the individual factory

completer - the completer

control - the control

selector - the selector

mating - the mating

iteration - the iteration counter

alpha - the population size

mu - the number of parents

lambda - the number of offspring

Method Detail

optimize

public void optimize()
              throws TerminationException,
                     StopException

Description copied from interface: Optimizer

Starts the optimization process.

Throws:

TerminationException - if the optimization is terminated

StopException - if the optimization is stopped