/* Copyright 2009-2016 David Hadka * * This file is part of the MOEA Framework. * * The MOEA Framework is free software: you can redistribute it and/or modify * it under the terms of the GNU Lesser General Public License as published by * the Free Software Foundation, either version 3 of the License, or (at your * option) any later version. * * The MOEA Framework is distributed in the hope that it will be useful, but * WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY * or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public * License for more details. * * You should have received a copy of the GNU Lesser General Public License * along with the MOEA Framework. If not, see <http://www.gnu.org/licenses/>. */ package org.moeaframework.problem.BBOB2016; import org.moeaframework.core.Solution; import org.moeaframework.core.variable.EncodingUtils; /* * The following source code is derived from the Coco Framework available at * <https://github.com/numbbo/coco> under the 3-clause BSD license. The * original code is copyright 2013 by the NumBBO/CoCO team. See the AUTHORS * file located in the Coco Framework repository for more details. */ /** * Transformation that applies a monotone oscillation to the decision variables * of the inner function. */ public class TransformVariablesOscillate extends BBOBTransformation { /** * Factor controlling the periodicity of the oscillation. */ public static final double ALPHA = 0.1; /** * Constructs a new transformation that applies an oscillation to the * decision variables. * * @param function the inner function */ public TransformVariablesOscillate(BBOBFunction function) { super(function); } @Override public void evaluate(Solution solution) { double[] x = EncodingUtils.getReal(solution); double[] tx = x.clone(); for (int i = 0; i < x.length; i++) { if (x[i] > 0.0) { double tmp = Math.log(x[i]) / ALPHA; double base = Math.exp(tmp + 0.49*(Math.sin(tmp) + Math.sin(0.79*tmp))); tx[i] = Math.pow(base, ALPHA); } else if (x[i] < 0.0) { double tmp = Math.log(-x[i]) / ALPHA; double base = Math.exp(tmp + 0.49*(Math.sin(0.55*tmp) + Math.sin(0.31*tmp))); tx[i] = -Math.pow(base, ALPHA); } else { tx[i] = 0.0; } } EncodingUtils.setReal(solution, tx); function.evaluate(solution); EncodingUtils.setReal(solution, x); } }