All Downloads are FREE. Search and download functionalities are using the official Maven repository.

net.sourceforge.cilib.pso.iterationstrategies.SynchronousIterationStrategy Maven / Gradle / Ivy

Go to download

A library of composable components enabling simpler Computational Intelligence

There is a newer version: 0.8
Show newest version
/**           __  __
 *    _____ _/ /_/ /_    Computational Intelligence Library (CIlib)
 *   / ___/ / / / __ \   (c) CIRG @ UP
 *  / /__/ / / / /_/ /   http://cilib.net
 *  \___/_/_/_/_.___/
 */
package net.sourceforge.cilib.pso.iterationstrategies;

import net.sourceforge.cilib.algorithm.population.AbstractIterationStrategy;
import net.sourceforge.cilib.entity.Topology;
import net.sourceforge.cilib.pso.PSO;
import net.sourceforge.cilib.pso.particle.Particle;

/**
 * Implementation of the synchronous iteration strategy for PSO.
 */
public class SynchronousIterationStrategy extends AbstractIterationStrategy {

    private static final long serialVersionUID = 6617737228912852220L;

    /**
     * {@inheritDoc}
     */
    @Override
    public SynchronousIterationStrategy getClone() {
        return this;
    }

    /**
     * 

This is an Synchronous strategy:

*
    *
  1. For all particles:
  2. *
    1. Update the particle velocity
    2. *
    3. Update the particle position
    *
  3. For all particles:
  4. *
    1. Calculate the particle fitness
    2. *
    3. For all particles in the current particle's neighbourhood:
    4. *
      1. Update the neighbourhood best
    *
* * @see net.sourceforge.cilib.PSO.IterationStrategy#performIteration(net.sourceforge.cilib.PSO.PSO) * @param pso The {@link PSO} to have an iteration applied. */ @Override public void performIteration(PSO pso) { Topology topology = pso.getTopology(); for (Particle current : topology) { current.updateVelocity(); current.updatePosition(); // TODO: replace with visitor (will simplify particle interface) boundaryConstraint.enforce(current); } for (Particle current : topology) { current.calculateFitness(); for (Particle other : topology.neighbourhood(current)) { if (current.getSocialFitness().compareTo(other.getNeighbourhoodBest().getSocialFitness()) > 0) { other.setNeighbourhoodBest(current); } } } } }




© 2015 - 2025 Weber Informatics LLC | Privacy Policy