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legrand 2007-02-06 13:11:53 +00:00
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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// moeoComparator.h
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
/*
This library...
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
*/
//-----------------------------------------------------------------------------
#ifndef MOEOPOPSORTER_H_
#define MOEOPOPSORTER_H_
#include <eoFunctor.h>
#include <eoPop.h>
/**
* Functor allowing to compare two solutions
*/
template < class MOEOT >
class moeoComparator : public eoBF < const MOEOT &, const MOEOT &, const bool >
{};
/**
* Functor allowing to compare two solutions according to their first objective value, then their second, and so on
*/
template < class MOEOT >
class moeoObjectiveComparator : public moeoComparator < MOEOT >
{
public:
/**
* Returns true if _moeo1 is smaller than _moeo2 on the first objective, then on the second, and so on
* @param _moeo1 the first solution
* @param _moeo2 the second solution
*/
const bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
{
return _moeo1.objectiveVector() < _moeo2.objectiveVector();
}
};
/**
* Functor allowing to compare two solutions according to their fitness values
*/
template < class MOEOT >
class moeoFitnessComparator : public moeoComparator < MOEOT >
{
public:
/**
* Returns true if the fitness value of _moeo1 is smaller than the fitness value of _moeo2
* @param _moeo1 the first solution
* @param _moeo2 the second solution
*/
const bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
{
return _moeo1.fitness() < _moeo2.fitness();
}
};
/**
* Functor allowing to compare two solutions according to their diversity values
*/
template < class MOEOT >
class moeoDiversityComparator : public moeoComparator < MOEOT >
{
public:
/**
* Returns true if the diversity value of _moeo1 is smaller than the diversity value of _moeo2
* @param _moeo1 the first solution
* @param _moeo2 the second solution
*/
const bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
{
return _moeo1.diversity() < _moeo2.diversity();
}
};
/**
* Functor allowing to compare two solutions according to their fitness values, then according to their diversity values
*/
template < class MOEOT >
class moeoFitnessThenDiversityComparator : public moeoComparator < MOEOT >
{
public:
/**
* Returns true if _moeo1 is smaller than _moeo2 according to their fitness values, then according to their diversity values
* @param _moeo1 the first solution
* @param _moeo2 the second solution
*/
const bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
{
if (_moeo1.fitness() == _moeo2.fitness())
{
return _moeo1.diversity() < _moeo2.diversity();
}
else
{
return _moeo1.fitness() < _moeo2.fitness();
}
}
};
/**
* Functor allowing to compare two solutions according to their diversity values, then according to their fitness values
*/
template < class MOEOT >
class moeoDiversityThenFitnessComparator : public moeoComparator < MOEOT >
{
public:
/**
* Returns true if _moeo1 is smaller than _moeo2 according to their diversity values, then according to their fitness values
* @param _moeo1 the first solution
* @param _moeo2 the second solution
*/
const bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
{
if (_moeo1.diversity() == _moeo2.diversity())
{
return _moeo1.fitness() < _moeo2.fitness();
}
else
{
return _moeo1.diversity() < _moeo2.diversity();
}
}
};
/**
* Functor allowing to compare two solutions according to Pareto dominance relation => USEFULL ???
*
template < class MOEOT >
class moeoParetoDominanceComparator : public moeoComparator < MOEOT >
{
public:
/**
* Returns true if _moeo1 is dominated by _moeo2 according to Pareto dominance relation
* @param _moeo1 the first solution
* @param _moeo2 the second solution
*
const bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
{
bool result = false;
typedef typename MOEOT::ObjectiveVector::Traits ObjectiveVectorTraits;
for (unsigned i=0; i<ObjectiveVectorTraits::nObjectives(); i++)
{
// first, we have to check if the 2 objective values are not equal on the ith objective
if ( fabs(_moeo1.objectiveVector()[i] - _moeo2.objectiveVector()[i]) > ObjectiveVectorTraits::tolerance() )
{
// if the ith objective have to be minimized...
if (ObjectiveVectorTraits::minimizing(i))
{
if (_moeo1.objectiveVector()[i] < _moeo2.objectiveVector()[i])
{
return false; // _moeo2 cannot dominate _moeo1
}
result = true;
}
// if the ith objective have to be maximized...
else if (ObjectiveVectorTraits::maximizing(i))
{
if (_moeo1.objectiveVector()[i] > _moeo2.objectiveVector()[i])
{
return false; // _moeo2 cannot dominate _moeo1
}
result = true;
}
}
}
return result;
}
};
*/
#endif /*MOEOPOPSORTER_H_*/