/* Copyright 2009-2016 David Hadka
*
* This file is part of the MOEA Framework.
*
* The MOEA Framework 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.
*
* The MOEA Framework 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 the MOEA Framework. If not, see <http://www.gnu.org/licenses/>.
*/
package org.moeaframework.problem.CDTLZ;
import org.moeaframework.core.Solution;
import org.moeaframework.core.variable.RealVariable;
import org.moeaframework.problem.DTLZ.DTLZ1;
/**
* The C3-DTLZ1 test problem.
*/
public class C3_DTLZ1 extends DTLZ1 {
/**
* Constructs a C3-DTLZ1 test problem with the specified number of variables
* and objectives.
*
* @param numberOfVariables the number of variables for this problem
* @param numberOfObjectives the number of objectives for this problem
*/
public C3_DTLZ1(int numberOfVariables, int numberOfObjectives) {
super(numberOfVariables, numberOfObjectives);
}
/**
* Constructs a C3-DTLZ1 test problem with the specified number of
* objectives. This is equivalent to calling
* {@code new DTLZ1(numberOfObjectives+4, numberOfObjectives)}.
*
* @param numberOfObjectives the number of objectives for this problem
*/
public C3_DTLZ1(int numberOfObjectives) {
super(numberOfObjectives);
}
@Override
public int getNumberOfConstraints() {
return numberOfObjectives;
}
@Override
public void evaluate(Solution solution) {
super.evaluate(solution);
for (int j = 0; j < numberOfObjectives; j++) {
double c = solution.getObjective(j) - 1;
for (int i = 0; i < numberOfObjectives; i++) {
if (i != j) {
c += solution.getObjective(i)/0.5;
}
}
solution.setConstraint(j, c >= 0.0 ? 0.0 : c);
}
}
@Override
public Solution newSolution() {
Solution solution = new Solution(numberOfVariables, numberOfObjectives,
numberOfObjectives);
for (int i = 0; i < numberOfVariables; i++) {
solution.setVariable(i, new RealVariable(0.0, 1.0));
}
return solution;
}
@Override
public Solution generate() {
throw new UnsupportedOperationException();
}
}