// Rosenbrock.java // // Author: // Esteban López-Camacho <esteban@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; @SuppressWarnings("serial") public class Rosenbrock extends AbstractDoubleProblem { /** * Constructor * Creates a default instance of the Rosenbrock problem * * @param numberOfVariables Number of variables of the problem */ public Rosenbrock(Integer numberOfVariables) { setNumberOfVariables(numberOfVariables); setNumberOfObjectives(1); setNumberOfConstraints(0) ; setName("Rosenbrock"); List<Double> lowerLimit = new ArrayList<>(getNumberOfVariables()) ; List<Double> upperLimit = new ArrayList<>(getNumberOfVariables()) ; for (int i = 0; i < getNumberOfVariables(); i++) { lowerLimit.add(-5.12); upperLimit.add(5.12); } 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; for (int i = 0; i < numberOfVariables - 1; i++) { double temp1 = (x[i] * x[i]) - x[i + 1]; double temp2 = x[i] - 1.0; sum += (100.0 * temp1 * temp1) + (temp2 * temp2); } solution.setObjective(0, sum); } }