Local search removed
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1422 331e1502-861f-0410-8da2-ba01fb791d7f
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jhumeau
parent
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6 changed files with 0 additions and 1050 deletions
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/*
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* <moeoCombinedLS.h>
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* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
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* (C) OPAC Team, LIFL, 2002-2007
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*
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* Arnaud Liefooghe
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*
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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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*
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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
|
|
||||||
* economic rights, and the successive licensors have only limited liability.
|
|
||||||
*
|
|
||||||
* In this respect, the user's attention is drawn to the risks associated
|
|
||||||
* with loading, using, modifying and/or developing or reproducing the
|
|
||||||
* 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
|
|
||||||
* 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
|
|
||||||
* 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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||||||
*
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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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*/
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//-----------------------------------------------------------------------------
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#ifndef MOEOCOMBINEDLS_H_
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#define MOEOCOMBINEDLS_H_
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#include <vector>
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#include <algo/moeoLS.h>
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#include <archive/moeoArchive.h>
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/**
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* This class allows to embed a set of local searches that are sequentially applied,
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* and so working and updating the same archive of non-dominated solutions.
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*/
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template < class MOEOT, class Type >
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class moeoCombinedLS : public moeoLS < MOEOT, Type >
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{
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public:
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/**
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* Ctor
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* @param _first_mols the first multi-objective local search to add
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*/
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moeoCombinedLS(moeoLS < MOEOT, Type > & _first_mols)
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{
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combinedLS.push_back (& _first_mols);
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}
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/**
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* Adds a new local search to combine
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* @param _mols the multi-objective local search to add
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*/
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void add(moeoLS < MOEOT, Type > & _mols)
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{
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combinedLS.push_back(& _mols);
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}
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/**
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* Gives a new solution in order to explore the neigborhood.
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* The new non-dominated solutions are added to the archive
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* @param _type the object to apply the local search to
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* @param _arch the archive of non-dominated solutions
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*/
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void operator () (Type _type, moeoArchive < MOEOT > & _arch)
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{
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for (unsigned int i=0; i<combinedLS.size(); i++)
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combinedLS[i] -> operator()(_type, _arch);
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}
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private:
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/** the vector that contains the combined LS */
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std::vector< moeoLS < MOEOT, Type > * > combinedLS;
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};
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#endif /*MOEOCOMBINEDLS_H_*/
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@ -1,101 +0,0 @@
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/*
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* <moeoHybridLS.h>
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* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
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* (C) OPAC Team, LIFL, 2002-2007
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*
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* Arnaud Liefooghe
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*
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||||||
* This software is governed by the CeCILL license under French law and
|
|
||||||
* abiding by the rules of distribution of free software. You can use,
|
|
||||||
* modify and/ or redistribute the software under the terms of the CeCILL
|
|
||||||
* license as circulated by CEA, CNRS and INRIA at the following URL
|
|
||||||
* "http://www.cecill.info".
|
|
||||||
*
|
|
||||||
* As a counterpart to the access to the source code and rights to copy,
|
|
||||||
* modify and redistribute granted by the license, users are provided only
|
|
||||||
* with a limited warranty and the software's author, the holder of the
|
|
||||||
* economic rights, and the successive licensors have only limited liability.
|
|
||||||
*
|
|
||||||
* In this respect, the user's attention is drawn to the risks associated
|
|
||||||
* with loading, using, modifying and/or developing or reproducing the
|
|
||||||
* software by the user in light of its specific status of free software,
|
|
||||||
* that may mean that it is complicated to manipulate, and that also
|
|
||||||
* therefore means that it is reserved for developers and experienced
|
|
||||||
* professionals having in-depth computer knowledge. Users are therefore
|
|
||||||
* encouraged to load and test the software's suitability as regards their
|
|
||||||
* requirements in conditions enabling the security of their systems and/or
|
|
||||||
* data to be ensured and, more generally, to use and operate it in the
|
|
||||||
* same conditions as regards security.
|
|
||||||
* The fact that you are presently reading this means that you have had
|
|
||||||
* knowledge of the CeCILL license and that you accept its terms.
|
|
||||||
*
|
|
||||||
* 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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*/
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//-----------------------------------------------------------------------------
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#ifndef MOEOHYBRIDLS_H_
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#define MOEOHYBRIDLS_H_
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#include <eoContinue.h>
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#include <eoPop.h>
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#include <eoSelect.h>
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#include <utils/eoUpdater.h>
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#include <algo/moeoLS.h>
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#include <archive/moeoArchive.h>
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/**
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* This class allows to apply a multi-objective local search to a number of selected individuals contained in the archive
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* at every generation until a stopping criteria is verified.
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*/
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template < class MOEOT >
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class moeoHybridLS : public eoUpdater
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{
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public:
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/**
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* Ctor
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* @param _term stopping criteria
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* @param _select selector
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* @param _mols a multi-objective local search
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* @param _arch the archive
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*/
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moeoHybridLS (eoContinue < MOEOT > & _term, eoSelect < MOEOT > & _select, moeoLS < MOEOT, MOEOT > & _mols, moeoArchive < MOEOT > & _arch) :
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term(_term), select(_select), mols(_mols), arch(_arch)
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{}
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/**
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* Applies the multi-objective local search to selected individuals contained in the archive if the stopping criteria is not verified
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*/
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void operator () ()
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{
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if (! term (arch))
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{
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// selection of solutions
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eoPop < MOEOT > selectedSolutions;
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select(arch, selectedSolutions);
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// apply the local search to every selected solution
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for (unsigned int i=0; i<selectedSolutions.size(); i++)
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{
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mols(selectedSolutions[i], arch);
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}
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}
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}
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private:
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/** stopping criteria */
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eoContinue < MOEOT > & term;
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/** selector */
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eoSelect < MOEOT > & select;
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/** multi-objective local search */
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moeoLS < MOEOT, MOEOT > & mols;
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/** archive */
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moeoArchive < MOEOT > & arch;
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};
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#endif /*MOEOHYBRIDLS_H_*/
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@ -1,519 +0,0 @@
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/*
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* <moeoIBMOLS.h>
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* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
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* (C) OPAC Team, LIFL, 2002-2007
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*
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* Arnaud Liefooghe
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*
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||||||
* This software is governed by the CeCILL license under French law and
|
|
||||||
* abiding by the rules of distribution of free software. You can use,
|
|
||||||
* modify and/ or redistribute the software under the terms of the CeCILL
|
|
||||||
* license as circulated by CEA, CNRS and INRIA at the following URL
|
|
||||||
* "http://www.cecill.info".
|
|
||||||
*
|
|
||||||
* As a counterpart to the access to the source code and rights to copy,
|
|
||||||
* modify and redistribute granted by the license, users are provided only
|
|
||||||
* with a limited warranty and the software's author, the holder of the
|
|
||||||
* economic rights, and the successive licensors have only limited liability.
|
|
||||||
*
|
|
||||||
* In this respect, the user's attention is drawn to the risks associated
|
|
||||||
* with loading, using, modifying and/or developing or reproducing the
|
|
||||||
* software by the user in light of its specific status of free software,
|
|
||||||
* that may mean that it is complicated to manipulate, and that also
|
|
||||||
* therefore means that it is reserved for developers and experienced
|
|
||||||
* professionals having in-depth computer knowledge. Users are therefore
|
|
||||||
* encouraged to load and test the software's suitability as regards their
|
|
||||||
* requirements in conditions enabling the security of their systems and/or
|
|
||||||
* data to be ensured and, more generally, to use and operate it in the
|
|
||||||
* same conditions as regards security.
|
|
||||||
* The fact that you are presently reading this means that you have had
|
|
||||||
* knowledge of the CeCILL license and that you accept its terms.
|
|
||||||
*
|
|
||||||
* 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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*/
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//-----------------------------------------------------------------------------
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#ifndef MOEOIBMOLS_H_
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#define MOEOIBMOLS_H_
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#include <math.h>
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#include <eoContinue.h>
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#include <eoEvalFunc.h>
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#include <eoPop.h>
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#include <moMove.h>
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#include <moMoveInit.h>
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#include <moNextMove.h>
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#include <algo/moeoLS.h>
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#include <archive/moeoArchive.h>
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#include <fitness/moeoBinaryIndicatorBasedFitnessAssignment.h>
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#include <move/moeoMoveIncrEval.h>
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/**
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* Indicator-Based Multi-Objective Local Search (IBMOLS) as described in
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* Basseur M., Burke K. : "Indicator-Based Multi-Objective Local Search" (2007).
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*/
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template < class MOEOT, class Move >
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class moeoIBMOLS : public moeoLS < MOEOT, eoPop < MOEOT > & >
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{
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public:
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/** The type of objective vector */
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typedef typename MOEOT::ObjectiveVector ObjectiveVector;
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/**
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* Ctor.
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* @param _moveInit the move initializer
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* @param _nextMove the neighborhood explorer
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* @param _eval the full evaluation
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* @param _moveIncrEval the incremental evaluation
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* @param _fitnessAssignment the fitness assignment strategy
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* @param _continuator the stopping criteria
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*/
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moeoIBMOLS(
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moMoveInit < Move > & _moveInit,
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moNextMove < Move > & _nextMove,
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eoEvalFunc < MOEOT > & _eval,
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moeoMoveIncrEval < Move > & _moveIncrEval,
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moeoBinaryIndicatorBasedFitnessAssignment < MOEOT > & _fitnessAssignment,
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eoContinue < MOEOT > & _continuator
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) :
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moveInit(_moveInit),
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nextMove(_nextMove),
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eval(_eval),
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moveIncrEval(_moveIncrEval),
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fitnessAssignment (_fitnessAssignment),
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continuator (_continuator)
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{}
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/**
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* Apply the local search until a local archive does not change or
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* another stopping criteria is met and update the archive _arch with new non-dominated solutions.
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* @param _pop the initial population
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* @param _arch the (updated) archive
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*/
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void operator() (eoPop < MOEOT > & _pop, moeoArchive < MOEOT > & _arch)
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{
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// evaluation of the objective values
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/*
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for (unsigned int i=0; i<_pop.size(); i++)
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{
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eval(_pop[i]);
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}
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*/
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// fitness assignment for the whole population
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fitnessAssignment(_pop);
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// creation of a local archive
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moeoArchive < MOEOT > archive;
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// creation of another local archive (for the stopping criteria)
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moeoArchive < MOEOT > previousArchive;
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// update the archive with the initial population
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archive.update(_pop);
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do
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{
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previousArchive.update(archive);
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oneStep(_pop);
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archive.update(_pop);
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}
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while ( (! archive.equals(previousArchive)) && (continuator(_arch)) );
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_arch.update(archive);
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}
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private:
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/** the move initializer */
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moMoveInit < Move > & moveInit;
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/** the neighborhood explorer */
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moNextMove < Move > & nextMove;
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/** the full evaluation */
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eoEvalFunc < MOEOT > & eval;
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/** the incremental evaluation */
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moeoMoveIncrEval < Move > & moveIncrEval;
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/** the fitness assignment strategy */
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moeoBinaryIndicatorBasedFitnessAssignment < MOEOT > & fitnessAssignment;
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/** the stopping criteria */
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eoContinue < MOEOT > & continuator;
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/**
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* Apply one step of the local search to the population _pop
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* @param _pop the population
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*/
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void oneStep (eoPop < MOEOT > & _pop)
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{
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// the move
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Move move;
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// the objective vector and the fitness of the current solution
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ObjectiveVector x_objVec;
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double x_fitness;
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// the index, the objective vector and the fitness of the worst solution in the population (-1 implies that the worst is the newly created one)
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int worst_idx;
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ObjectiveVector worst_objVec;
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double worst_fitness;
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////////////////////////////////////////////
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// the indexes and the objective vectors of the extreme non-dominated points
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int ext_0_idx, ext_1_idx;
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ObjectiveVector ext_0_objVec, ext_1_objVec;
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unsigned int ind;
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////////////////////////////////////////////
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// the index of the current solution to be explored
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unsigned int i=0;
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// initilization of the move for the first individual
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moveInit(move, _pop[i]);
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while (i<_pop.size() && continuator(_pop))
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{
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// x = one neigbour of pop[i]
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// evaluate x in the objective space
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x_objVec = moveIncrEval(move, _pop[i]);
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// update every fitness values to take x into account and compute the fitness of x
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x_fitness = fitnessAssignment.updateByAdding(_pop, x_objVec);
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////////////////////////////////////////////////////////////////////////////////////////////////////////////
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////////////////////////////////////////////////////////////////////////////////////////////////////////////
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////////////////////////////////////////////////////////////////////////////////////////////////////////////
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// extreme solutions (min only!)
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ext_0_idx = -1;
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ext_0_objVec = x_objVec;
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ext_1_idx = -1;
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|
||||||
ext_1_objVec = x_objVec;
|
|
||||||
for (unsigned int k=0; k<_pop.size(); k++)
|
|
||||||
{
|
|
||||||
// ext_0
|
|
||||||
if (_pop[k].objectiveVector()[0] < ext_0_objVec[0])
|
|
||||||
{
|
|
||||||
ext_0_idx = k;
|
|
||||||
ext_0_objVec = _pop[k].objectiveVector();
|
|
||||||
}
|
|
||||||
else if ( (_pop[k].objectiveVector()[0] == ext_0_objVec[0]) && (_pop[k].objectiveVector()[1] < ext_0_objVec[1]) )
|
|
||||||
{
|
|
||||||
ext_0_idx = k;
|
|
||||||
ext_0_objVec = _pop[k].objectiveVector();
|
|
||||||
}
|
|
||||||
// ext_1
|
|
||||||
else if (_pop[k].objectiveVector()[1] < ext_1_objVec[1])
|
|
||||||
{
|
|
||||||
ext_1_idx = k;
|
|
||||||
ext_1_objVec = _pop[k].objectiveVector();
|
|
||||||
}
|
|
||||||
else if ( (_pop[k].objectiveVector()[1] == ext_1_objVec[1]) && (_pop[k].objectiveVector()[0] < ext_1_objVec[0]) )
|
|
||||||
{
|
|
||||||
ext_1_idx = k;
|
|
||||||
ext_1_objVec = _pop[k].objectiveVector();
|
|
||||||
}
|
|
||||||
}
|
|
||||||
// worst init
|
|
||||||
if (ext_0_idx == -1)
|
|
||||||
{
|
|
||||||
ind = 0;
|
|
||||||
while (ind == ext_1_idx)
|
|
||||||
{
|
|
||||||
ind++;
|
|
||||||
}
|
|
||||||
worst_idx = ind;
|
|
||||||
worst_objVec = _pop[ind].objectiveVector();
|
|
||||||
worst_fitness = _pop[ind].fitness();
|
|
||||||
}
|
|
||||||
else if (ext_1_idx == -1)
|
|
||||||
{
|
|
||||||
ind = 0;
|
|
||||||
while (ind == ext_0_idx)
|
|
||||||
{
|
|
||||||
ind++;
|
|
||||||
}
|
|
||||||
worst_idx = ind;
|
|
||||||
worst_objVec = _pop[ind].objectiveVector();
|
|
||||||
worst_fitness = _pop[ind].fitness();
|
|
||||||
}
|
|
||||||
else
|
|
||||||
{
|
|
||||||
worst_idx = -1;
|
|
||||||
worst_objVec = x_objVec;
|
|
||||||
worst_fitness = x_fitness;
|
|
||||||
}
|
|
||||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
||||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
||||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
||||||
|
|
||||||
// who is the worst ?
|
|
||||||
for (unsigned int j=0; j<_pop.size(); j++)
|
|
||||||
{
|
|
||||||
if ( (j!=ext_0_idx) && (j!=ext_1_idx) )
|
|
||||||
{
|
|
||||||
if (_pop[j].fitness() < worst_fitness)
|
|
||||||
{
|
|
||||||
worst_idx = j;
|
|
||||||
worst_objVec = _pop[j].objectiveVector();
|
|
||||||
worst_fitness = _pop[j].fitness();
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
// if the worst solution is the new one
|
|
||||||
if (worst_idx == -1)
|
|
||||||
{
|
|
||||||
// if all its neighbours have been explored,
|
|
||||||
// let's explore the neighborhoud of the next individual
|
|
||||||
if (! nextMove(move, _pop[i]))
|
|
||||||
{
|
|
||||||
i++;
|
|
||||||
if (i<_pop.size())
|
|
||||||
{
|
|
||||||
// initilization of the move for the next individual
|
|
||||||
moveInit(move, _pop[i]);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
// if the worst solution is located before _pop[i]
|
|
||||||
else if (worst_idx <= i)
|
|
||||||
{
|
|
||||||
// the new solution takes place insteed of _pop[worst_idx]
|
|
||||||
_pop[worst_idx] = _pop[i];
|
|
||||||
move(_pop[worst_idx]);
|
|
||||||
_pop[worst_idx].objectiveVector(x_objVec);
|
|
||||||
_pop[worst_idx].fitness(x_fitness);
|
|
||||||
// let's explore the neighborhoud of the next individual
|
|
||||||
i++;
|
|
||||||
if (i<_pop.size())
|
|
||||||
{
|
|
||||||
// initilization of the move for the next individual
|
|
||||||
moveInit(move, _pop[i]);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
// if the worst solution is located after _pop[i]
|
|
||||||
else if (worst_idx > i)
|
|
||||||
{
|
|
||||||
// the new solution takes place insteed of _pop[i+1] and _pop[worst_idx] is deleted
|
|
||||||
_pop[worst_idx] = _pop[i+1];
|
|
||||||
_pop[i+1] = _pop[i];
|
|
||||||
move(_pop[i+1]);
|
|
||||||
_pop[i+1].objectiveVector(x_objVec);
|
|
||||||
_pop[i+1].fitness(x_fitness);
|
|
||||||
// let's explore the neighborhoud of the individual _pop[i+2]
|
|
||||||
i += 2;
|
|
||||||
if (i<_pop.size())
|
|
||||||
{
|
|
||||||
// initilization of the move for the next individual
|
|
||||||
moveInit(move, _pop[i]);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
// update fitness values
|
|
||||||
fitnessAssignment.updateByDeleting(_pop, worst_objVec);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
// INUTILE !!!!
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
/**
|
|
||||||
* Apply one step of the local search to the population _pop
|
|
||||||
* @param _pop the population
|
|
||||||
*/
|
|
||||||
void new_oneStep (eoPop < MOEOT > & _pop)
|
|
||||||
{
|
|
||||||
// the move
|
|
||||||
Move move;
|
|
||||||
// the objective vector and the fitness of the current solution
|
|
||||||
ObjectiveVector x_objVec;
|
|
||||||
double x_fitness;
|
|
||||||
// the index, the objective vector and the fitness of the worst solution in the population (-1 implies that the worst is the newly created one)
|
|
||||||
int worst_idx;
|
|
||||||
ObjectiveVector worst_objVec;
|
|
||||||
double worst_fitness;
|
|
||||||
////////////////////////////////////////////
|
|
||||||
// the index of the extreme non-dominated points
|
|
||||||
int ext_0_idx, ext_1_idx;
|
|
||||||
unsigned int ind;
|
|
||||||
////////////////////////////////////////////
|
|
||||||
// the index current of the current solution to be explored
|
|
||||||
unsigned int i=0;
|
|
||||||
// initilization of the move for the first individual
|
|
||||||
moveInit(move, _pop[i]);
|
|
||||||
while (i<_pop.size() && continuator(_pop))
|
|
||||||
{
|
|
||||||
// x = one neigbour of pop[i]
|
|
||||||
// evaluate x in the objective space
|
|
||||||
x_objVec = moveIncrEval(move, _pop[i]);
|
|
||||||
// update every fitness values to take x into account and compute the fitness of x
|
|
||||||
x_fitness = fitnessAssignment.updateByAdding(_pop, x_objVec);
|
|
||||||
|
|
||||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
||||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
||||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
||||||
// extremes solutions
|
|
||||||
OneObjectiveComparator comp0(0);
|
|
||||||
ext_0_idx = std::min_element(_pop.begin(), _pop.end(), comp0) - _pop.begin();
|
|
||||||
OneObjectiveComparator comp1(1);
|
|
||||||
ext_1_idx = std::min_element(_pop.begin(), _pop.end(), comp1) - _pop.begin();
|
|
||||||
// new = extreme ?
|
|
||||||
if (x_objVec[0] < _pop[ext_0_idx].objectiveVector()[0])
|
|
||||||
{
|
|
||||||
ext_0_idx = -1;
|
|
||||||
}
|
|
||||||
else if ( (x_objVec[0] == _pop[ext_0_idx].objectiveVector()[0]) && (x_objVec[1] < _pop[ext_0_idx].objectiveVector()[1]) )
|
|
||||||
{
|
|
||||||
ext_0_idx = -1;
|
|
||||||
}
|
|
||||||
else if (x_objVec[1] < _pop[ext_1_idx].objectiveVector()[1])
|
|
||||||
{
|
|
||||||
ext_1_idx = -1;
|
|
||||||
}
|
|
||||||
else if ( (x_objVec[1] == _pop[ext_1_idx].objectiveVector()[1]) && (x_objVec[0] < _pop[ext_1_idx].objectiveVector()[0]) )
|
|
||||||
{
|
|
||||||
ext_1_idx = -1;
|
|
||||||
}
|
|
||||||
// worst init
|
|
||||||
if (ext_0_idx == -1)
|
|
||||||
{
|
|
||||||
ind = 0;
|
|
||||||
while (ind == ext_1_idx)
|
|
||||||
{
|
|
||||||
ind++;
|
|
||||||
}
|
|
||||||
worst_idx = ind;
|
|
||||||
worst_objVec = _pop[ind].objectiveVector();
|
|
||||||
worst_fitness = _pop[ind].fitness();
|
|
||||||
}
|
|
||||||
else if (ext_1_idx == -1)
|
|
||||||
{
|
|
||||||
ind = 0;
|
|
||||||
while (ind == ext_0_idx)
|
|
||||||
{
|
|
||||||
ind++;
|
|
||||||
}
|
|
||||||
worst_idx = ind;
|
|
||||||
worst_objVec = _pop[ind].objectiveVector();
|
|
||||||
worst_fitness = _pop[ind].fitness();
|
|
||||||
}
|
|
||||||
else
|
|
||||||
{
|
|
||||||
worst_idx = -1;
|
|
||||||
worst_objVec = x_objVec;
|
|
||||||
worst_fitness = x_fitness;
|
|
||||||
}
|
|
||||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
||||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
||||||
////////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
||||||
|
|
||||||
// who is the worst ?
|
|
||||||
for (unsigned int j=0; j<_pop.size(); j++)
|
|
||||||
{
|
|
||||||
if ( (j!=ext_0_idx) && (j!=ext_1_idx) )
|
|
||||||
{
|
|
||||||
if (_pop[j].fitness() < worst_fitness)
|
|
||||||
{
|
|
||||||
worst_idx = j;
|
|
||||||
worst_objVec = _pop[j].objectiveVector();
|
|
||||||
worst_fitness = _pop[j].fitness();
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
// if the worst solution is the new one
|
|
||||||
if (worst_idx == -1)
|
|
||||||
{
|
|
||||||
// if all its neighbours have been explored,
|
|
||||||
// let's explore the neighborhoud of the next individual
|
|
||||||
if (! nextMove(move, _pop[i]))
|
|
||||||
{
|
|
||||||
i++;
|
|
||||||
if (i<_pop.size())
|
|
||||||
{
|
|
||||||
// initilization of the move for the next individual
|
|
||||||
moveInit(move, _pop[i]);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
// if the worst solution is located before _pop[i]
|
|
||||||
else if (worst_idx <= i)
|
|
||||||
{
|
|
||||||
// the new solution takes place insteed of _pop[worst_idx]
|
|
||||||
_pop[worst_idx] = _pop[i];
|
|
||||||
move(_pop[worst_idx]);
|
|
||||||
_pop[worst_idx].objectiveVector(x_objVec);
|
|
||||||
_pop[worst_idx].fitness(x_fitness);
|
|
||||||
// let's explore the neighborhoud of the next individual
|
|
||||||
i++;
|
|
||||||
if (i<_pop.size())
|
|
||||||
{
|
|
||||||
// initilization of the move for the next individual
|
|
||||||
moveInit(move, _pop[i]);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
// if the worst solution is located after _pop[i]
|
|
||||||
else if (worst_idx > i)
|
|
||||||
{
|
|
||||||
// the new solution takes place insteed of _pop[i+1] and _pop[worst_idx] is deleted
|
|
||||||
_pop[worst_idx] = _pop[i+1];
|
|
||||||
_pop[i+1] = _pop[i];
|
|
||||||
move(_pop[i+1]);
|
|
||||||
_pop[i+1].objectiveVector(x_objVec);
|
|
||||||
_pop[i+1].fitness(x_fitness);
|
|
||||||
// let's explore the neighborhoud of the individual _pop[i+2]
|
|
||||||
i += 2;
|
|
||||||
if (i<_pop.size())
|
|
||||||
{
|
|
||||||
// initilization of the move for the next individual
|
|
||||||
moveInit(move, _pop[i]);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
// update fitness values
|
|
||||||
fitnessAssignment.updateByDeleting(_pop, worst_objVec);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
//////////////////////////////////////////////////////////////////////////////////////////
|
|
||||||
class OneObjectiveComparator : public moeoComparator < MOEOT >
|
|
||||||
{
|
|
||||||
public:
|
|
||||||
OneObjectiveComparator(unsigned int _obj) : obj(_obj)
|
|
||||||
{
|
|
||||||
if (obj > MOEOT::ObjectiveVector::nObjectives())
|
|
||||||
{
|
|
||||||
throw std::runtime_error("Problem with the index of objective in OneObjectiveComparator");
|
|
||||||
}
|
|
||||||
}
|
|
||||||
const bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
|
|
||||||
{
|
|
||||||
if (_moeo1.objectiveVector()[obj] < _moeo2.objectiveVector()[obj])
|
|
||||||
{
|
|
||||||
return true;
|
|
||||||
}
|
|
||||||
else
|
|
||||||
{
|
|
||||||
return (_moeo1.objectiveVector()[obj] == _moeo2.objectiveVector()[obj]) && (_moeo1.objectiveVector()[(obj+1)%2] < _moeo2.objectiveVector()[(obj+1)%2]);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
private:
|
|
||||||
unsigned int obj;
|
|
||||||
};
|
|
||||||
//////////////////////////////////////////////////////////////////////////////////////////
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
};
|
|
||||||
|
|
||||||
#endif /*MOEOIBMOLS_H_*/
|
|
||||||
|
|
@ -1,238 +0,0 @@
|
||||||
/*
|
|
||||||
* <moeoIteratedIBMOLS.h>
|
|
||||||
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
|
|
||||||
* (C) OPAC Team, LIFL, 2002-2007
|
|
||||||
*
|
|
||||||
* Arnaud Liefooghe
|
|
||||||
*
|
|
||||||
* This software is governed by the CeCILL license under French law and
|
|
||||||
* abiding by the rules of distribution of free software. You can use,
|
|
||||||
* modify and/ or redistribute the software under the terms of the CeCILL
|
|
||||||
* license as circulated by CEA, CNRS and INRIA at the following URL
|
|
||||||
* "http://www.cecill.info".
|
|
||||||
*
|
|
||||||
* As a counterpart to the access to the source code and rights to copy,
|
|
||||||
* modify and redistribute granted by the license, users are provided only
|
|
||||||
* with a limited warranty and the software's author, the holder of the
|
|
||||||
* economic rights, and the successive licensors have only limited liability.
|
|
||||||
*
|
|
||||||
* In this respect, the user's attention is drawn to the risks associated
|
|
||||||
* with loading, using, modifying and/or developing or reproducing the
|
|
||||||
* software by the user in light of its specific status of free software,
|
|
||||||
* that may mean that it is complicated to manipulate, and that also
|
|
||||||
* therefore means that it is reserved for developers and experienced
|
|
||||||
* professionals having in-depth computer knowledge. Users are therefore
|
|
||||||
* encouraged to load and test the software's suitability as regards their
|
|
||||||
* requirements in conditions enabling the security of their systems and/or
|
|
||||||
* data to be ensured and, more generally, to use and operate it in the
|
|
||||||
* same conditions as regards security.
|
|
||||||
* The fact that you are presently reading this means that you have had
|
|
||||||
* knowledge of the CeCILL license and that you accept its terms.
|
|
||||||
*
|
|
||||||
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
|
|
||||||
* Contact: paradiseo-help@lists.gforge.inria.fr
|
|
||||||
*
|
|
||||||
*/
|
|
||||||
//-----------------------------------------------------------------------------
|
|
||||||
|
|
||||||
#ifndef MOEOITERATEDIBMOLS_H_
|
|
||||||
#define MOEOITERATEDIBMOLS_H_
|
|
||||||
|
|
||||||
#include <eoContinue.h>
|
|
||||||
#include <eoEvalFunc.h>
|
|
||||||
#include <eoOp.h>
|
|
||||||
#include <eoPop.h>
|
|
||||||
#include <utils/rnd_generators.h>
|
|
||||||
#include <moMove.h>
|
|
||||||
#include <moMoveInit.h>
|
|
||||||
#include <moNextMove.h>
|
|
||||||
#include <algo/moeoIBMOLS.h>
|
|
||||||
#include <algo/moeoLS.h>
|
|
||||||
#include <archive/moeoArchive.h>
|
|
||||||
#include <fitness/moeoBinaryIndicatorBasedFitnessAssignment.h>
|
|
||||||
#include <move/moeoMoveIncrEval.h>
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
//#include <rsCrossQuad.h>
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
/**
|
|
||||||
* Iterated version of IBMOLS as described in
|
|
||||||
* Basseur M., Burke K. : "Indicator-Based Multi-Objective Local Search" (2007).
|
|
||||||
*/
|
|
||||||
template < class MOEOT, class Move >
|
|
||||||
class moeoIteratedIBMOLS : public moeoLS < MOEOT, eoPop < MOEOT > & >
|
|
||||||
{
|
|
||||||
public:
|
|
||||||
|
|
||||||
/** The type of objective vector */
|
|
||||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
|
|
||||||
|
|
||||||
|
|
||||||
/**
|
|
||||||
* Ctor.
|
|
||||||
* @param _moveInit the move initializer
|
|
||||||
* @param _nextMove the neighborhood explorer
|
|
||||||
* @param _eval the full evaluation
|
|
||||||
* @param _moveIncrEval the incremental evaluation
|
|
||||||
* @param _fitnessAssignment the fitness assignment strategy
|
|
||||||
* @param _continuator the stopping criteria
|
|
||||||
* @param _monOp the monary operator
|
|
||||||
* @param _randomMonOp the random monary operator (or random initializer)
|
|
||||||
* @param _nNoiseIterations the number of iterations to apply the random noise
|
|
||||||
*/
|
|
||||||
moeoIteratedIBMOLS(
|
|
||||||
moMoveInit < Move > & _moveInit,
|
|
||||||
moNextMove < Move > & _nextMove,
|
|
||||||
eoEvalFunc < MOEOT > & _eval,
|
|
||||||
moeoMoveIncrEval < Move > & _moveIncrEval,
|
|
||||||
moeoBinaryIndicatorBasedFitnessAssignment < MOEOT > & _fitnessAssignment,
|
|
||||||
eoContinue < MOEOT > & _continuator,
|
|
||||||
eoMonOp < MOEOT > & _monOp,
|
|
||||||
eoMonOp < MOEOT > & _randomMonOp,
|
|
||||||
unsigned int _nNoiseIterations=1
|
|
||||||
) :
|
|
||||||
ibmols(_moveInit, _nextMove, _eval, _moveIncrEval, _fitnessAssignment, _continuator),
|
|
||||||
eval(_eval),
|
|
||||||
continuator(_continuator),
|
|
||||||
monOp(_monOp),
|
|
||||||
randomMonOp(_randomMonOp),
|
|
||||||
nNoiseIterations(_nNoiseIterations)
|
|
||||||
{}
|
|
||||||
|
|
||||||
|
|
||||||
/**
|
|
||||||
* Apply the local search iteratively until the stopping criteria is met.
|
|
||||||
* @param _pop the initial population
|
|
||||||
* @param _arch the (updated) archive
|
|
||||||
*/
|
|
||||||
void operator() (eoPop < MOEOT > & _pop, moeoArchive < MOEOT > & _arch)
|
|
||||||
{
|
|
||||||
_arch.update(_pop);
|
|
||||||
ibmols(_pop, _arch);
|
|
||||||
while (continuator(_arch))
|
|
||||||
{
|
|
||||||
// generate new solutions from the archive
|
|
||||||
generateNewSolutions(_pop, _arch);
|
|
||||||
// apply the local search (the global archive is updated in the sub-function)
|
|
||||||
ibmols(_pop, _arch);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
|
|
||||||
private:
|
|
||||||
|
|
||||||
/** the local search to iterate */
|
|
||||||
moeoIBMOLS < MOEOT, Move > ibmols;
|
|
||||||
/** the full evaluation */
|
|
||||||
eoEvalFunc < MOEOT > & eval;
|
|
||||||
/** the stopping criteria */
|
|
||||||
eoContinue < MOEOT > & continuator;
|
|
||||||
/** the monary operator */
|
|
||||||
eoMonOp < MOEOT > & monOp;
|
|
||||||
/** the random monary operator (or random initializer) */
|
|
||||||
eoMonOp < MOEOT > & randomMonOp;
|
|
||||||
/** the number of iterations to apply the random noise */
|
|
||||||
unsigned int nNoiseIterations;
|
|
||||||
|
|
||||||
|
|
||||||
/**
|
|
||||||
* Creates new population randomly initialized and/or initialized from the archive _arch.
|
|
||||||
* @param _pop the output population
|
|
||||||
* @param _arch the archive
|
|
||||||
*/
|
|
||||||
void generateNewSolutions(eoPop < MOEOT > & _pop, const moeoArchive < MOEOT > & _arch)
|
|
||||||
{
|
|
||||||
// shuffle vector for the random selection of individuals
|
|
||||||
vector<unsigned int> shuffle;
|
|
||||||
shuffle.resize(std::max(_pop.size(), _arch.size()));
|
|
||||||
// init shuffle
|
|
||||||
for (unsigned int i=0; i<shuffle.size(); i++)
|
|
||||||
{
|
|
||||||
shuffle[i] = i;
|
|
||||||
}
|
|
||||||
// randomize shuffle
|
|
||||||
UF_random_generator <unsigned int> gen;
|
|
||||||
std::random_shuffle(shuffle.begin(), shuffle.end(), gen);
|
|
||||||
// start the creation of new solutions
|
|
||||||
for (unsigned int i=0; i<_pop.size(); i++)
|
|
||||||
{
|
|
||||||
if (shuffle[i] < _arch.size()) // the given archive contains the individual i
|
|
||||||
{
|
|
||||||
// add it to the resulting pop
|
|
||||||
_pop[i] = _arch[shuffle[i]];
|
|
||||||
// apply noise
|
|
||||||
for (unsigned int j=0; j<nNoiseIterations; j++)
|
|
||||||
{
|
|
||||||
monOp(_pop[i]);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
else // a random solution needs to be added
|
|
||||||
{
|
|
||||||
// random initialization
|
|
||||||
randomMonOp(_pop[i]);
|
|
||||||
}
|
|
||||||
// evaluation of the new individual
|
|
||||||
_pop[i].invalidate();
|
|
||||||
eval(_pop[i]);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
||||||
// A DEVELOPPER RAPIDEMENT POUR TESTER AVEC CROSSOVER //
|
|
||||||
/*
|
|
||||||
void generateNewSolutions2(eoPop < MOEOT > & _pop, const moeoArchive < MOEOT > & _arch)
|
|
||||||
{
|
|
||||||
// here, we must have a QuadOp !
|
|
||||||
//eoQuadOp < MOEOT > quadOp;
|
|
||||||
rsCrossQuad quadOp;
|
|
||||||
// shuffle vector for the random selection of individuals
|
|
||||||
vector<unsigned int> shuffle;
|
|
||||||
shuffle.resize(_arch.size());
|
|
||||||
// init shuffle
|
|
||||||
for (unsigned int i=0; i<shuffle.size(); i++)
|
|
||||||
{
|
|
||||||
shuffle[i] = i;
|
|
||||||
}
|
|
||||||
// randomize shuffle
|
|
||||||
UF_random_generator <unsigned int int> gen;
|
|
||||||
std::random_shuffle(shuffle.begin(), shuffle.end(), gen);
|
|
||||||
// start the creation of new solutions
|
|
||||||
unsigned int i=0;
|
|
||||||
while ((i<_pop.size()-1) && (i<_arch.size()-1))
|
|
||||||
{
|
|
||||||
_pop[i] = _arch[shuffle[i]];
|
|
||||||
_pop[i+1] = _arch[shuffle[i+1]];
|
|
||||||
// then, apply the operator nIterationsNoise times
|
|
||||||
for (unsigned int j=0; j<nNoiseIterations; j++)
|
|
||||||
{
|
|
||||||
quadOp(_pop[i], _pop[i+1]);
|
|
||||||
}
|
|
||||||
eval(_pop[i]);
|
|
||||||
eval(_pop[i+1]);
|
|
||||||
i=i+2;
|
|
||||||
}
|
|
||||||
// do we have to add some random solutions ?
|
|
||||||
while (i<_pop.size())
|
|
||||||
{
|
|
||||||
randomMonOp(_pop[i]);
|
|
||||||
eval(_pop[i]);
|
|
||||||
i++;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
*/
|
|
||||||
///////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
};
|
|
||||||
|
|
||||||
#endif /*MOEOITERATEDIBMOLS_H_*/
|
|
||||||
|
|
@ -1,53 +0,0 @@
|
||||||
/*
|
|
||||||
* <moeoLS.h>
|
|
||||||
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
|
|
||||||
* (C) OPAC Team, LIFL, 2002-2007
|
|
||||||
*
|
|
||||||
* Arnaud Liefooghe
|
|
||||||
*
|
|
||||||
* This software is governed by the CeCILL license under French law and
|
|
||||||
* abiding by the rules of distribution of free software. You can use,
|
|
||||||
* modify and/ or redistribute the software under the terms of the CeCILL
|
|
||||||
* license as circulated by CEA, CNRS and INRIA at the following URL
|
|
||||||
* "http://www.cecill.info".
|
|
||||||
*
|
|
||||||
* As a counterpart to the access to the source code and rights to copy,
|
|
||||||
* modify and redistribute granted by the license, users are provided only
|
|
||||||
* with a limited warranty and the software's author, the holder of the
|
|
||||||
* economic rights, and the successive licensors have only limited liability.
|
|
||||||
*
|
|
||||||
* In this respect, the user's attention is drawn to the risks associated
|
|
||||||
* with loading, using, modifying and/or developing or reproducing the
|
|
||||||
* software by the user in light of its specific status of free software,
|
|
||||||
* that may mean that it is complicated to manipulate, and that also
|
|
||||||
* therefore means that it is reserved for developers and experienced
|
|
||||||
* professionals having in-depth computer knowledge. Users are therefore
|
|
||||||
* encouraged to load and test the software's suitability as regards their
|
|
||||||
* requirements in conditions enabling the security of their systems and/or
|
|
||||||
* data to be ensured and, more generally, to use and operate it in the
|
|
||||||
* same conditions as regards security.
|
|
||||||
* The fact that you are presently reading this means that you have had
|
|
||||||
* knowledge of the CeCILL license and that you accept its terms.
|
|
||||||
*
|
|
||||||
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
|
|
||||||
* Contact: paradiseo-help@lists.gforge.inria.fr
|
|
||||||
*
|
|
||||||
*/
|
|
||||||
//-----------------------------------------------------------------------------
|
|
||||||
|
|
||||||
#ifndef MOEOLS_H_
|
|
||||||
#define MOEOLS_H_
|
|
||||||
|
|
||||||
#include <eoFunctor.h>
|
|
||||||
#include <algo/moeoAlgo.h>
|
|
||||||
#include <archive/moeoArchive.h>
|
|
||||||
|
|
||||||
/**
|
|
||||||
* Abstract class for local searches applied to multi-objective optimization.
|
|
||||||
* Starting from a Type (i.e.: an individual, a pop, an archive...), it produces a set of new non-dominated solutions.
|
|
||||||
*/
|
|
||||||
template < class MOEOT, class Type >
|
|
||||||
class moeoLS: public moeoAlgo, public eoBF < Type, moeoArchive < MOEOT > &, void >
|
|
||||||
{};
|
|
||||||
|
|
||||||
#endif /*MOEOLS_H_*/
|
|
||||||
|
|
@ -1,47 +0,0 @@
|
||||||
/*
|
|
||||||
* <moeoMoveIncrEval.h>
|
|
||||||
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
|
|
||||||
* (C) OPAC Team, LIFL, 2002-2007
|
|
||||||
*
|
|
||||||
* Arnaud Liefooghe
|
|
||||||
*
|
|
||||||
* This software is governed by the CeCILL license under French law and
|
|
||||||
* abiding by the rules of distribution of free software. You can use,
|
|
||||||
* modify and/ or redistribute the software under the terms of the CeCILL
|
|
||||||
* license as circulated by CEA, CNRS and INRIA at the following URL
|
|
||||||
* "http://www.cecill.info".
|
|
||||||
*
|
|
||||||
* As a counterpart to the access to the source code and rights to copy,
|
|
||||||
* modify and redistribute granted by the license, users are provided only
|
|
||||||
* with a limited warranty and the software's author, the holder of the
|
|
||||||
* economic rights, and the successive licensors have only limited liability.
|
|
||||||
*
|
|
||||||
* In this respect, the user's attention is drawn to the risks associated
|
|
||||||
* with loading, using, modifying and/or developing or reproducing the
|
|
||||||
* software by the user in light of its specific status of free software,
|
|
||||||
* that may mean that it is complicated to manipulate, and that also
|
|
||||||
* therefore means that it is reserved for developers and experienced
|
|
||||||
* professionals having in-depth computer knowledge. Users are therefore
|
|
||||||
* encouraged to load and test the software's suitability as regards their
|
|
||||||
* requirements in conditions enabling the security of their systems and/or
|
|
||||||
* data to be ensured and, more generally, to use and operate it in the
|
|
||||||
* same conditions as regards security.
|
|
||||||
* The fact that you are presently reading this means that you have had
|
|
||||||
* knowledge of the CeCILL license and that you accept its terms.
|
|
||||||
*
|
|
||||||
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
|
|
||||||
* Contact: paradiseo-help@lists.gforge.inria.fr
|
|
||||||
*
|
|
||||||
*/
|
|
||||||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
|
||||||
|
|
||||||
#ifndef _MOEOMOVEINCREVAL_H
|
|
||||||
#define _MOEOMOVEINCREVAL_H
|
|
||||||
|
|
||||||
#include <eoFunctor.h>
|
|
||||||
|
|
||||||
template < class Move >
|
|
||||||
class moeoMoveIncrEval : public eoBF < const Move &, const typename Move::EOType &, typename Move::EOType::ObjectiveVector >
|
|
||||||
{};
|
|
||||||
|
|
||||||
#endif
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue