// Viennet3.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.multiobjective; import org.uma.jmetal.problem.impl.AbstractDoubleProblem; import org.uma.jmetal.solution.DoubleSolution; import java.util.ArrayList; import java.util.List; /** * Class representing problem Viennet3 */ @SuppressWarnings("serial") public class Viennet3 extends AbstractDoubleProblem { /** * Constructor. * Creates a default instance of the Viennet3 problem. */ public Viennet3() { setNumberOfVariables(2); setNumberOfObjectives(3); setNumberOfConstraints(0); setName("Viennet3") ; List<Double> lowerLimit = new ArrayList<>(getNumberOfVariables()) ; List<Double> upperLimit = new ArrayList<>(getNumberOfVariables()) ; for (int i = 0; i < getNumberOfVariables(); i++) { lowerLimit.add(-3.0); upperLimit.add(3.0); } setLowerLimit(lowerLimit); setUpperLimit(upperLimit); } /** Evaluate() method */ @Override public void evaluate(DoubleSolution solution) { int numberOfVariables = getNumberOfVariables() ; double[] f = new double[getNumberOfObjectives()]; double[] x = new double[numberOfVariables] ; for (int i = 0; i < numberOfVariables; i++) { x[i] = solution.getVariableValue(i) ; } f[0] = 0.5 * (x[0]*x[0] + x[1]*x[1]) + Math.sin(x[0]*x[0] + x[1]*x[1]) ; // Second function double value1 = 3.0 * x[0] - 2.0 * x[1] + 4.0 ; double value2 = x[0] - x[1] + 1.0 ; f[1] = (value1 * value1)/8.0 + (value2 * value2)/27.0 + 15.0 ; // Third function f[2] = 1.0 / (x[0]*x[0] + x[1]*x[1]+1) - 1.1 * Math.exp(-(x[0]*x[0])-(x[1]*x[1])) ; for (int i = 0; i < getNumberOfObjectives(); i++) solution.setObjective(i,f[i]); } }