// 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]);
}
}