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