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git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@232 331e1502-861f-0410-8da2-ba01fb791d7f
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51 changed files with 3899 additions and 3898 deletions
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@ -41,80 +41,80 @@
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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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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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string & fitnessParam = _parser.getORcreateParam(string("IndicatorBased"), "fitness",
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"Fitness assignment strategy parameter: IndicatorBased...", 'F',
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"Evolution Engine").value();
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string & indicatorParam = _parser.getORcreateParam(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 == 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 == 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 == 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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string stmp = 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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string stmp = 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 n = _parser.getORcreateParam(1, "n", "Number of iterations for population Initialization", 'n', "Evolution Engine").value();
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// LS
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string & lsParam = _parser.getORcreateParam(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 == string("IBMOLS"))
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{
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ls = new moeoIndicatorBasedLS < MOEOT, Move > (_moveInit, _nextMove, _eval, _moveIncrEval, *fitnessAssignment, _continue);;
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}
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else if (lsParam == 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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string stmp = 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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/* 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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string & fitnessParam = _parser.getORcreateParam(string("IndicatorBased"), "fitness",
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"Fitness assignment strategy parameter: IndicatorBased...", 'F',
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"Evolution Engine").value();
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string & indicatorParam = _parser.getORcreateParam(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 == 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 == 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 == 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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string stmp = 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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string stmp = 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 n = _parser.getORcreateParam(1, "n", "Number of iterations for population Initialization", 'n', "Evolution Engine").value();
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// LS
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string & lsParam = _parser.getORcreateParam(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 == string("IBMOLS"))
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{
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ls = new moeoIndicatorBasedLS < MOEOT, Move > (_moveInit, _nextMove, _eval, _moveIncrEval, *fitnessAssignment, _continue);;
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}
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else if (lsParam == 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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string stmp = 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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