// 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.glt;
import org.uma.jmetal.problem.impl.AbstractDoubleProblem;
import org.uma.jmetal.solution.DoubleSolution;
import java.util.ArrayList;
import java.util.List;
/**
* Problem GLT1. Defined in
* F. Gu, H.-L. Liu, and K. C. Tan, “A multiobjective evolutionary
* algorithm using dynamic weight design method,” International Journal
* of Innovative Computing, Information and Control, vol. 8, no. 5B, pp.
* 3677–3688, 2012.
*
* @author Antonio J. Nebro <antonio@lcc.uma.es>
*/
@SuppressWarnings("serial")
public class GLT1 extends AbstractDoubleProblem {
/**
* Default constructor
*/
public GLT1() {
this(10) ;
}
/**
* Constructor
* @param numberOfVariables
*/
public GLT1(int numberOfVariables) {
setNumberOfVariables(numberOfVariables);
setNumberOfObjectives(2);
setName("GLT1");
List<Double> lowerLimit = new ArrayList<>(getNumberOfVariables()) ;
List<Double> upperLimit = new ArrayList<>(getNumberOfVariables()) ;
lowerLimit.add(0.0) ;
upperLimit.add(1.0) ;
for (int i = 1; i < getNumberOfVariables(); i++) {
lowerLimit.add(-1.0);
upperLimit.add(1.0);
}
setLowerLimit(lowerLimit);
setUpperLimit(upperLimit);
}
@Override
public void evaluate(DoubleSolution solution) {
solution.setObjective(0, (1.0 + g(solution))*solution.getVariableValue(0));
solution.setObjective(1, (1.0 + g(solution))*(2.0-solution.getVariableValue(0)
-Math.signum(Math.cos(2*Math.PI*solution.getVariableValue(0)))));
}
private double g(DoubleSolution solution) {
double result = 0.0 ;
for (int i = 1; i < solution.getNumberOfVariables(); i++) {
double value =solution.getVariableValue(i)
- Math.sin(2*Math.PI*solution.getVariableValue(0)+i*Math.PI/solution.getNumberOfVariables()) ;
result += value * value ;
}
return result ;
}
}