git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1698 331e1502-861f-0410-8da2-ba01fb791d7f
235 lines
6.3 KiB
C++
235 lines
6.3 KiB
C++
/*
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<moNeighborhoodStat.h>
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Copyright (C) DOLPHIN Project-Team, INRIA Lille - Nord Europe, 2006-2010
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Sébastien Verel, Arnaud Liefooghe, Jérémie Humeau
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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 moNeighborhoodStat_h
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#define moNeighborhoodStat_h
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#include <continuator/moStat.h>
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#include <explorer/moNeighborhoodExplorer.h>
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#include <comparator/moNeighborComparator.h>
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#include <comparator/moSolNeighborComparator.h>
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/**
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* All possible statitic on the neighborhood fitness
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* to combine with other specific statistic to print them
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*/
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template< class Neighborhood >
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class moNeighborhoodStat : public moStat<typename Neighborhood::EOT, bool>
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{
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public :
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typedef typename Neighborhood::EOT EOT ;
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typedef typename Neighborhood::Neighbor Neighbor ;
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typedef typename EOT::Fitness Fitness ;
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using moStat< EOT, bool >::value;
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/**
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* Default Constructor
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* @param _neighborhood a neighborhood
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* @param _eval an evaluation function
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* @param _neighborComparator a neighbor Comparator
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* @param _solNeighborComparator a comparator between a solution and a neighbor
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*/
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moNeighborhoodStat(Neighborhood& _neighborhood, moEval<Neighbor>& _eval, moNeighborComparator<Neighbor>& _neighborComparator, moSolNeighborComparator<Neighbor>& _solNeighborComparator):
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moStat<EOT, bool>(true, "neighborhood"),
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neighborhood(_neighborhood), eval(_eval),
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neighborComparator(_neighborComparator),
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solNeighborComparator(_solNeighborComparator)
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{}
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/**
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* Compute classical statistics of a solution's neighborhood
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* @param _solution the corresponding solution
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*/
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virtual void operator()(EOT & _solution){
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Neighbor current ;
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Neighbor best ;
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Neighbor lowest ;
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if(neighborhood.hasNeighbor(_solution)){
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//init the first neighbor
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neighborhood.init(_solution, current);
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//eval the _solution moved with the neighbor and stock the result in the neighbor
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eval(_solution, current);
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// init the statistics
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value() = true;
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mean = current.fitness();
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sd = mean * mean;
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nb = 1;
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nbInf = 0;
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nbEqual = 0;
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nbSup = 0;
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if (solNeighborComparator.equals(_solution, current))
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nbEqual++;
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else if (solNeighborComparator(_solution, current))
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nbSup++;
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else
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nbInf++;
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//initialize the best neighbor
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best = current;
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lowest = current;
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//test all others neighbors
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while (neighborhood.cont(_solution)) {
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//next neighbor
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neighborhood.next(_solution, current);
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//eval
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eval(_solution, current);
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mean += current.fitness();
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sd += current.fitness() * current.fitness();
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nb++;
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if (solNeighborComparator.equals(_solution, current))
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nbEqual++;
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else if (solNeighborComparator(_solution, current))
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nbSup++;
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else
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nbInf++;
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//if we found a better neighbor, update the best
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if (neighborComparator(best, current))
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best = current;
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if (neighborComparator(current, lowest))
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lowest = current;
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}
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max = best.fitness();
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min = lowest.fitness();
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mean /= nb;
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if (nb > 1)
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sd = sqrt( (sd - nb * mean * mean) / (nb - 1.0) );
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else
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sd = 0.0;
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}
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else{
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//if _solution hasn't neighbor,
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value() = false;
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}
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}
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/**
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* @return the worst fitness value found in the neighborhood
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*/
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Fitness getMin(){
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return min;
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}
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/**
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* @return the best fitness value found in the neighborhood
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*/
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Fitness getMax(){
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return max;
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}
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/**
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* @return the mean fitness value of the neighborhood
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*/
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double getMean(){
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return mean;
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}
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/**
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* @return the standard deviation value of the neighborhood
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*/
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double getSD(){
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return sd;
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}
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/**
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* @return the size of the neighborhood
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*/
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unsigned getSize(){
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return nb;
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}
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/**
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* @return the number of neighbors having a better fitness than the current solution
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*/
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unsigned getNbSup(){
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return nbSup;
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}
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/**
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* @return the number of neighbors having the same fitness than the current solution
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*/
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unsigned getNbEqual(){
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return nbEqual;
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}
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/**
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* @return the number of neighbors having a worst fitness than the current solution
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*/
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unsigned getNbInf() {
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return nbInf;
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}
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/**
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* @return the class name
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*/
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virtual std::string className(void) const {
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return "moNeighborhoodStat";
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}
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private:
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// to explore the neighborhood
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Neighborhood& neighborhood ;
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moEval<Neighbor>& eval;
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// comparator betwenn solution and neighbor or between neighbors
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moNeighborComparator<Neighbor>& neighborComparator;
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moSolNeighborComparator<Neighbor>& solNeighborComparator;
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// the stastics of the fitness
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Fitness max, min;
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//mean and standard deviation
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double mean, sd ;
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// number of neighbors in the neighborhood;
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unsigned int nb;
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// number of neighbors with lower, equal and higher fitness
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unsigned int nbInf, nbEqual, nbSup ;
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};
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#endif
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