org.opt4j.optimizer.mopso

Class MOPSO

java.lang.Object

org.opt4j.core.optimizer.AbstractOptimizer

org.opt4j.optimizer.mopso.MOPSO

All Implemented Interfaces:

Optimizer

public class MOPSO
extends AbstractOptimizer

The MOPSO is an implementation of a multi-objective particle swarm optimizer. This implementation is based on the OMOPSO. Thus, this MOPSO is restricted to problems that are based on the DoubleGenotype.

Author:

lukasiewycz

See Also:

"Improving PSO-based Multi-Objective Optimization using Crowding, Mutation and e-Dominance, M. Reyes Sierra and C. A. Coello Coello, In Proceedings of Evolutionary Multi-Criterion Optimization, 2005"

Constructor Summary

Constructors

Constructor and Description
MOPSO(Population population, Archive archive, IndividualFactory individualFactory, IndividualCompleter completer, Control control, Rand random, MutateDoubleUniform uniform, MutateDoubleNonUniform nonUniform, MutationRate mutationRate, Iteration iteration, int size, int archiveSize) Constructs a MOPSO.

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

MOPSO

@Inject
public MOPSO(Population population,
                     Archive archive,
                     IndividualFactory individualFactory,
                     IndividualCompleter completer,
                     Control control,
                     Rand random,
                     MutateDoubleUniform uniform,
                     MutateDoubleNonUniform nonUniform,
                     MutationRate mutationRate,
                     Iteration iteration,
                     int size,
                     int archiveSize)

Constructs a MOPSO.

Parameters:

population - the population

archive - the archive

individualFactory - the individual (particle) factory

completer - the completer

control - the control

random - the random number generator

uniform - the uniform mutation

nonUniform - the non-uniform mutation

mutationRate - the mutation rate

iteration - the iteration counter

size - the number of particles

archiveSize - the size of the archive for the global leaders

Method Detail

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