001package org.cpsolver.ifs.solution; 002 003import org.cpsolver.ifs.assignment.Assignment; 004import org.cpsolver.ifs.model.Value; 005import org.cpsolver.ifs.model.Variable; 006import org.cpsolver.ifs.util.DataProperties; 007 008/** 009 * General implementation of solution comparator for minimal perturbation 010 * problem. <br> 011 * <br> 012 * The solution is better than the best ever found solution when it has more 013 * variables assigned. In the case, when both solutions have the same number of 014 * assigned variables, the one with smaller number of perturbations (i.e., 015 * variables assigned to non-initial values) is selected. When all solution have 016 * the same number of assigned variables and number of perturbations, better 017 * solution is the one with smaller total value, i.e., the sum of 018 * {@link org.cpsolver.ifs.model.Value#toDouble(Assignment)} over all assigned 019 * variables. 020 * 021 * @see Solution 022 * @see org.cpsolver.ifs.solver.Solver 023 * 024 * @author Tomáš Müller 025 * @version IFS 1.3 (Iterative Forward Search)<br> 026 * Copyright (C) 2006 - 2014 Tomáš Müller<br> 027 * <a href="mailto:muller@unitime.org">muller@unitime.org</a><br> 028 * <a href="http://muller.unitime.org">http://muller.unitime.org</a><br> 029 * <br> 030 * This library is free software; you can redistribute it and/or modify 031 * it under the terms of the GNU Lesser General Public License as 032 * published by the Free Software Foundation; either version 3 of the 033 * License, or (at your option) any later version. <br> 034 * <br> 035 * This library is distributed in the hope that it will be useful, but 036 * WITHOUT ANY WARRANTY; without even the implied warranty of 037 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU 038 * Lesser General Public License for more details. <br> 039 * <br> 040 * You should have received a copy of the GNU Lesser General Public 041 * License along with this library; if not see 042 * <a href='http://www.gnu.org/licenses/'>http://www.gnu.org/licenses/</a>. 043 * 044 * @param <V> Variable 045 * @param <T> Value 046 */ 047public class MPPSolutionComparator<V extends Variable<V, T>, T extends Value<V, T>> implements SolutionComparator<V, T> { 048 049 public MPPSolutionComparator() { 050 } 051 052 /** No parameters are used so far. 053 * @param properties solver configuration 054 **/ 055 public MPPSolutionComparator(DataProperties properties) { 056 } 057 058 @Override 059 public boolean isBetterThanBestSolution(Solution<V, T> currentSolution) { 060 if (currentSolution.getBestInfo() == null) 061 return true; 062 int unassigned = currentSolution.getAssignment().nrUnassignedVariables(currentSolution.getModel()); 063 if (currentSolution.getModel().getBestUnassignedVariables() != unassigned) 064 return currentSolution.getModel().getBestUnassignedVariables() > unassigned; 065 int pert = currentSolution.getModel().perturbVariables(currentSolution.getAssignment()).size(); 066 if (currentSolution.getModel().getBestPerturbations() != pert) 067 return currentSolution.getModel().getBestPerturbations() > pert; 068 return currentSolution.getModel().getTotalValue(currentSolution.getAssignment()) < currentSolution.getModel().getBestValue(); 069 } 070 071}