/* 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(); } }