// Griewank.java // // Author: // Antonio J. Nebro <antonio@lcc.uma.es> // Juan J. Durillo <durillo@lcc.uma.es> // // Copyright (c) 2011 Antonio J. Nebro, Juan J. Durillo // // This program 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. // // This program 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 this program. If not, see <http://www.gnu.org/licenses/>. package org.uma.jmetal.problem.singleobjective; import org.uma.jmetal.problem.impl.AbstractDoubleProblem; import org.uma.jmetal.solution.DoubleSolution; import java.util.ArrayList; import java.util.List; /** * Class representing problem Griewank */ @SuppressWarnings("serial") public class Griewank extends AbstractDoubleProblem { /** * Constructor * Creates a default instance of the Griewank problem * * @param numberOfVariables Number of variables of the problem */ public Griewank(Integer numberOfVariables) { setNumberOfVariables(numberOfVariables); setNumberOfObjectives(1); setNumberOfConstraints(0) ; setName("Griewank"); List<Double> lowerLimit = new ArrayList<>(getNumberOfVariables()) ; List<Double> upperLimit = new ArrayList<>(getNumberOfVariables()) ; for (int i = 0; i < getNumberOfVariables(); i++) { lowerLimit.add(-600.0); upperLimit.add(600.0); } setLowerLimit(lowerLimit); setUpperLimit(upperLimit); } /** Evaluate() method */ @Override public void evaluate(DoubleSolution solution) { int numberOfVariables = getNumberOfVariables() ; double[] x = new double[numberOfVariables] ; for (int i = 0; i < numberOfVariables; i++) { x[i] = solution.getVariableValue(i) ; } double sum = 0.0; double mult = 1.0; double d = 4000.0; for (int var = 0; var < numberOfVariables; var++) { sum += x[var] * x[var]; mult *= Math.cos(x[var] / Math.sqrt(var + 1)); } solution.setObjective(0, 1.0 / d * sum - mult + 1.0); } }