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git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@210 331e1502-861f-0410-8da2-ba01fb791d7f
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liefooga 2007-04-10 13:34:32 +00:00
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// -*- 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 <eoContinue.h>
#include <eoEvalFunc.h>
#include <eoGenOp.h>
#include <utils/eoParser.h>
#include <utils/eoState.h>
#include <moeoArchive.h>
#include <moeoIndicatorBasedFitnessAssignment.h>
#include <moeoLS.h>
#include <moeoIndicatorBasedLS.h>
#include <moeoIteratedIBMOLS.h>
#include <metric/moeoNormalizedSolutionVsSolutionBinaryMetric.h>
#include <moeoMoveIncrEval.h>
/**
* ...
*/
template < class MOEOT, class Move >
moeoLS < MOEOT, eoPop<MOEOT> & > & do_make_ls_moeo (
eoParser & _parser,
eoState & _state,
moeoEvalFunc < 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 */
string & fitnessParam = _parser.getORcreateParam(string("IndicatorBased"), "fitness",
"Fitness assignment strategy parameter: IndicatorBased...", 'F',
"Evolution Engine").value();
string & indicatorParam = _parser.getORcreateParam(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 == string("IndicatorBased"))
{
// metric
moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > *metric;
if (indicatorParam == string("Epsilon"))
{
metric = new moeoAdditiveEpsilonBinaryMetric < ObjectiveVector >;
}
else if (indicatorParam == string("Hypervolume"))
{
metric = new moeoHypervolumeBinaryMetric < ObjectiveVector > (rho);
}
else
{
string stmp = string("Invalid binary quality indicator: ") + indicatorParam;
throw std::runtime_error(stmp.c_str());
}
fitnessAssignment = new moeoIndicatorBasedFitnessAssignment < MOEOT> (metric, kappa);
}
else
{
string stmp = string("Invalid fitness assignment strategy: ") + fitnessParam;
throw std::runtime_error(stmp.c_str());
}
_state.storeFunctor(fitnessAssignment);
unsigned n = _parser.getORcreateParam(1, "n", "Number of iterations for population Initialization",
'n', "Evolution Engine").value();
// LS
string & lsParam = _parser.getORcreateParam(string("I-IBMOLS"), "ls",
"Local Search: IBMOLS, I-IBMOLS (Iterated-IBMOLS)...", 'L',
"Evolution Engine").value();
moeoLS < MOEOT, eoPop<MOEOT> & > * ls;
if (lsParam == string("IBMOLS"))
{
ls = new moeoIndicatorBasedLS < MOEOT, Move > (_moveInit, _nextMove, _eval, _moveIncrEval, *fitnessAssignment, _continue);;
}
else if (lsParam == string("I-IBMOLS"))
{
ls = new moeoIteratedIBMOLS < MOEOT, Move > (_moveInit, _nextMove, _eval, _moveIncrEval, *fitnessAssignment, _continue, _op, _opInit, n);
}
else
{
string stmp = string("Invalid fitness assignment strategy: ") + fitnessParam;
throw std::runtime_error(stmp.c_str());
}
_state.storeFunctor(ls);
return *ls;
}
#endif /*MAKE_LS_MOEO_H_*/