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peo/tutorial/Lesson3/QAPGA.h
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/*
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<QAPGA.h>
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Copyright (C) DOLPHIN Project-Team, INRIA Lille Nord Europe, 2006-2009
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(C) OPAC Team, LIFL, 2002-2009
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The Van LUONG, (The-Van.Luong@inria.fr)
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Mahmoud FATENE
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This software is governed by the CeCILL license under French law and
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abiding by the rules of distribution of free software. You can use,
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modify and/ or redistribute the software under the terms of the CeCILL
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license as circulated by CEA, CNRS and INRIA at the following URL
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"http://www.cecill.info".
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As a counterpart to the access to the source code and rights to copy,
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modify and redistribute granted by the license, users are provided only
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with a limited warranty and the software's author, the holder of the
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economic rights, and the successive licensors have only limited liability.
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In this respect, the user's attention is drawn to the risks associated
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with loading, using, modifying and/or developing or reproducing the
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software by the user in light of its specific status of free software,
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that may mean that it is complicated to manipulate, and that also
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therefore means that it is reserved for developers and experienced
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professionals having in-depth computer knowledge. Users are therefore
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encouraged to load and test the software's suitability as regards their
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requirements in conditions enabling the security of their systems and/or
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data to be ensured and, more generally, to use and operate it in the
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same conditions as regards security.
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The fact that you are presently reading this means that you have had
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knowledge of the CeCILL license and that you accept its terms.
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ParadisEO WebSite : http://paradiseo.gforge.inria.fr
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Contact: paradiseo-help@lists.gforge.inria.fr
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*/
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#ifndef _QAPGA_h
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#define _QAPGA_h
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class ProblemInit : public eoInit<Problem>
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{
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public:
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void operator()(Problem & _problem)
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{
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_problem.create();
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}
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};
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class ProblemEvalFunc : public eoEvalFunc<Problem>
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{
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public:
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void operator()(Problem & _problem)
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{
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_problem.fitness(_problem.evaluate());
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}
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};
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class ProblemXover : public eoQuadOp<Problem> {
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public:
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/* The two parameters in input are the parents.
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The first parameter is also the output ie the child
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*/
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bool operator()(Problem & _problem1, Problem & _problem2)
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{
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int i;
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int random, temp;
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int unassigned_positions[n];
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int remaining_items[n];
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int j = 0;
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/* 1) find the items assigned in different positions for the 2 parents */
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for (i = 0 ; i < n ; i++){
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if (_problem1.solution[i] != _problem2.solution[i]){
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unassigned_positions[j] = i;
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remaining_items[j] = _problem1.solution[i];
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j++;
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}
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}
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/* 2) shuffle the remaining items to ensure that remaining items
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will be assigned at random positions */
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for (i = 0; i < j; i++){
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random = rng.rand()%(j-i) + i;
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temp = remaining_items[i];
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remaining_items[i] = remaining_items[random];
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remaining_items[random] = temp;
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}
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/* 3) copy the shuffled remaining items at unassigned positions */
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for (i = 0; i < j ; i++)
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_problem1.solution[unassigned_positions[i]] = remaining_items[i];
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// crossover in our case is always possible
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return true;
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}
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};
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class ProblemSwapMutation: public eoMonOp<Problem> {
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public:
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bool operator()(Problem& _problem) {
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int i,j;
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int temp;
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// generate two different indices
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i=rng.rand()%n;
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do
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j = rng.rand()%n;
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while (i == j);
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// swap
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temp = _problem.solution[i];
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_problem.solution[i] = _problem.solution[j];
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_problem.solution[j] = temp;
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return true;
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}
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};
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#endif
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