Package org.opt4j.optimizer.de

Class DifferentialEvolution

java.lang.Object

org.opt4j.core.optimizer.AbstractOptimizer

org.opt4j.optimizer.de.DifferentialEvolution

All Implemented Interfaces:

Optimizer

public class DifferentialEvolution
extends AbstractOptimizer

The DifferentialEvolution.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
protected static class	DifferentialEvolution.Triple	The DifferentialEvolution.Triple is a container for three individuals.

Field Summary

Fields

Modifier and Type	Field	Description
protected final Algebra<Genotype>	algebra
protected final int	alpha
protected final Crossover<Genotype>	crossover
protected final Random	random
protected final double	scalingFactor
protected final Selector	selector

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

archive, completer, control, iteration, iterationListeners, optimizing, population, stateListeners

Constructor Summary

Constructors

Constructor	Description
DifferentialEvolution(Population population, Archive archive, IndividualFactory individualFactory, IndividualCompleter completer, Control control, Algebra<Genotype> algebra, Selector selector, Rand random, Crossover<Genotype> crossover, Iteration iteration, int alpha, double scalingFactor)	Constructs a DifferentialEvolution.

Method Summary

Modifier and Type	Method	Description
protected Individual	createOffspring(Individual parent, List<Individual> individuals, Term term)
protected DifferentialEvolution.Triple	getTriple(Individual parent, List<Individual> individuals)	Returns three different Individuals from the individuals list.
void	optimize()	Starts the optimization process.

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

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

Methods inherited from class java.lang.Object

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

Field Details

scalingFactor

protected final double scalingFactor

alpha

protected final int alpha

algebra

protected final Algebra<Genotype> algebra

crossover

protected final Crossover<Genotype> crossover

selector

protected final Selector selector

random

protected final Random random

Constructor Details

DifferentialEvolution

@Inject
public DifferentialEvolution(Population population,
 Archive archive,
 IndividualFactory individualFactory,
 IndividualCompleter completer,
 Control control,
 Algebra<Genotype> algebra,
 Selector selector,
 Rand random,
 Crossover<Genotype> crossover,
 Iteration iteration,
 int alpha,
 double scalingFactor)

Constructs a DifferentialEvolution.

Parameters:

population - the population

archive - the archive

individualFactory - the individual factory

completer - the completer

control - the control

algebra - the algebra operator

selector - the selector

random - the random number generator

crossover - the crossover operator

iteration - the iteration counter

alpha - the population size

scalingFactor - the scaling factor F

Method Details

optimize

public void optimize()
              throws StopException,
TerminationException

Description copied from interface: Optimizer

Starts the optimization process.

Throws:

StopException - if the optimization is stopped

TerminationException - if the optimization is terminated

createOffspring

protected Individual createOffspring(Individual parent,
 List<Individual> individuals,
 Term term)

getTriple

protected DifferentialEvolution.Triple getTriple(Individual parent,
 List<Individual> individuals)

Returns three different Individuals from the individuals list. Each Individual is not equal to the parent.

Parameters:

parent - the parent Individual

individuals - the population

Returns:

the three individuals as a Triple