/*
* Encog(tm) Core v3.4 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2016 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.neural.networks.training.pso;
import org.encog.util.concurrency.EngineTask;
/**
* PSO multi-treaded worker.
* It allows PSO to offload all of the individual
* particle calculations to a separate thread.
*
* Contributed by:
* Geoffroy Noel
* https://github.com/goffer-looney
*
* @author Geoffroy Noel
*/
public class NeuralPSOWorker implements EngineTask {
private NeuralPSO m_neuralPSO;
private int m_particleIndex;
private boolean m_init = false;
/**
* Constructor.
*
* @param neuralPSO the training algorithm
* @param particleIndex the index of the particle in the swarm
* @param init true for an initialisation iteration
*
*/
public NeuralPSOWorker(NeuralPSO neuralPSO, int particleIndex, boolean init) {
m_neuralPSO = neuralPSO;
m_particleIndex = particleIndex;
m_init = init;
}
/**
* Update the particle velocity, position and personal best.
*/
public final void run() {
m_neuralPSO.updateParticle(m_particleIndex, m_init);
}
}