// 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);
}
}