/* * 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); } }