/*
* <make_ls_moeo.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 MAKE_LS_MOEO_H_
#define MAKE_LS_MOEO_H_

#include <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoGenOp.h>
#include <utils/eoParser.h>
#include <utils/eoState.h>
#include <algo/moeoIBMOLS.h>
#include <algo/moeoIteratedIBMOLS.h>
#include <algo/moeoLS.h>
#include <archive/moeoArchive.h>
#include <fitness/moeoBinaryIndicatorBasedFitnessAssignment.h>
#include <fitness/moeoExpBinaryIndicatorBasedFitnessAssignment.h>
#include <metric/moeoNormalizedSolutionVsSolutionBinaryMetric.h>
#include <move/moeoMoveIncrEval.h>

/**
 * 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<MOEOT> & > & 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();
  moeoBinaryIndicatorBasedFitnessAssignment < 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 moeoExpBinaryIndicatorBasedFitnessAssignment < 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<MOEOT> & > * 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_*/