merge ParadisEO-MOEO v-1.0
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trunk/paradiseo-moeo/src/do/make_ls_moeo.h
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trunk/paradiseo-moeo/src/do/make_ls_moeo.h
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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
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//-----------------------------------------------------------------------------
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// make_ls_moeo.h
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// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
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/*
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This library...
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Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
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*/
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//-----------------------------------------------------------------------------
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#ifndef MAKE_LS_MOEO_H_
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#define MAKE_LS_MOEO_H_
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#include <eoContinue.h>
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#include <eoEvalFunc.h>
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#include <eoGenOp.h>
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#include <utils/eoParser.h>
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#include <utils/eoState.h>
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#include <algo/moeoIBMOLS.h>
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#include <algo/moeoIteratedIBMOLS.h>
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#include <algo/moeoLS.h>
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#include <archive/moeoArchive.h>
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#include <fitness/moeoIndicatorBasedFitnessAssignment.h>
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#include <metric/moeoNormalizedSolutionVsSolutionBinaryMetric.h>
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#include <move/moeoMoveIncrEval.h>
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/**
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* This functions allows to build a moeoLS from the parser
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* @param _parser the parser
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* @param _state to store allocated objects
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* @param _eval the funtions evaluator
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* @param _moveIncrEval the incremental evaluation
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* @param _continue the stopping crietria
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* @param _op the variation operators
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* @param _opInit the initilization operator
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* @param _moveInit the move initializer
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* @param _nextMove the move incrementor
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* @param _archive the archive of non-dominated solutions
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*/
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template < class MOEOT, class Move >
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moeoLS < MOEOT, eoPop<MOEOT> & > & do_make_ls_moeo (
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eoParser & _parser,
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eoState & _state,
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eoEvalFunc < MOEOT > & _eval,
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moeoMoveIncrEval < Move > & _moveIncrEval,
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eoContinue < MOEOT > & _continue,
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eoMonOp < MOEOT > & _op,
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eoMonOp < MOEOT > & _opInit,
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moMoveInit < Move > & _moveInit,
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moNextMove < Move > & _nextMove,
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moeoArchive < MOEOT > & _archive
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)
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{
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/* the objective vector type */
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typedef typename MOEOT::ObjectiveVector ObjectiveVector;
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/* the fitness assignment strategy */
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std::string & fitnessParam = _parser.getORcreateParam(std::string("IndicatorBased"), "fitness",
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"Fitness assignment strategy parameter: IndicatorBased...", 'F',
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"Evolution Engine").value();
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std::string & indicatorParam = _parser.getORcreateParam(std::string("Epsilon"), "indicator",
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"Binary indicator to use with the IndicatorBased assignment: Epsilon, Hypervolume", 'i',
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"Evolution Engine").value();
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double rho = _parser.getORcreateParam(1.1, "rho", "reference point for the hypervolume indicator",
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'r', "Evolution Engine").value();
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double kappa = _parser.getORcreateParam(0.05, "kappa", "Scaling factor kappa for IndicatorBased",
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'k', "Evolution Engine").value();
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moeoIndicatorBasedFitnessAssignment < MOEOT > * fitnessAssignment;
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if (fitnessParam == std::string("IndicatorBased"))
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{
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// metric
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moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > *metric;
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if (indicatorParam == std::string("Epsilon"))
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{
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metric = new moeoAdditiveEpsilonBinaryMetric < ObjectiveVector >;
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}
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else if (indicatorParam == std::string("Hypervolume"))
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{
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metric = new moeoHypervolumeBinaryMetric < ObjectiveVector > (rho);
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}
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else
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{
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std::string stmp = std::string("Invalid binary quality indicator: ") + indicatorParam;
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throw std::runtime_error(stmp.c_str());
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}
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fitnessAssignment = new moeoIndicatorBasedFitnessAssignment < MOEOT> (*metric, kappa);
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}
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else
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{
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std::string stmp = std::string("Invalid fitness assignment strategy: ") + fitnessParam;
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throw std::runtime_error(stmp.c_str());
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}
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_state.storeFunctor(fitnessAssignment);
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// number of iterations
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unsigned int n = _parser.getORcreateParam(1, "n", "Number of iterations for population Initialization", 'n', "Evolution Engine").value();
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// LS
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std::string & lsParam = _parser.getORcreateParam(std::string("I-IBMOLS"), "ls",
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"Local Search: IBMOLS, I-IBMOLS (Iterated-IBMOLS)...", 'L',
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"Evolution Engine").value();
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moeoLS < MOEOT, eoPop<MOEOT> & > * ls;
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if (lsParam == std::string("IBMOLS"))
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{
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ls = new moeoIBMOLS < MOEOT, Move > (_moveInit, _nextMove, _eval, _moveIncrEval, *fitnessAssignment, _continue);;
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}
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else if (lsParam == std::string("I-IBMOLS"))
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{
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ls = new moeoIteratedIBMOLS < MOEOT, Move > (_moveInit, _nextMove, _eval, _moveIncrEval, *fitnessAssignment, _continue, _op, _opInit, n);
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}
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else
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{
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std::string stmp = std::string("Invalid fitness assignment strategy: ") + fitnessParam;
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throw std::runtime_error(stmp.c_str());
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}
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_state.storeFunctor(ls);
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// that's it !
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return *ls;
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}
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#endif /*MAKE_LS_MOEO_H_*/
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