git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@374 331e1502-861f-0410-8da2-ba01fb791d7f
112 lines
3.2 KiB
C++
112 lines
3.2 KiB
C++
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
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//-----------------------------------------------------------------------------
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// moeoNormalizedDistance.h
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// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
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/*
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This library...
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Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
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*/
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//-----------------------------------------------------------------------------
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#ifndef MOEONORMALIZEDDISTANCE_H_
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#define MOEONORMALIZEDDISTANCE_H_
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#include <vector>
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#include <utils/eoRealBounds.h>
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#include <distance/moeoDistance.h>
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/**
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* The base class for double distance computation with normalized objective values (i.e. between 0 and 1).
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*/
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template < class MOEOT , class Type = double >
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class moeoNormalizedDistance : public moeoDistance < MOEOT , Type >
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{
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public:
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/** the objective vector type of the solutions */
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typedef typename MOEOT::ObjectiveVector ObjectiveVector;
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/**
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* Default ctr
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*/
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moeoNormalizedDistance()
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{
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bounds.resize(ObjectiveVector::Traits::nObjectives());
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// initialize bounds in case someone does not want to use them
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for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
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{
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bounds[i] = eoRealInterval(0,1);
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}
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}
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/**
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* Returns a very small value that can be used to avoid extreme cases (where the min bound == the max bound)
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*/
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static double tiny()
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{
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return 1e-6;
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}
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/**
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* Sets the lower and the upper bounds for every objective using extremes values for solutions contained in the population _pop
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* @param _pop the population
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*/
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virtual void setup(const eoPop < MOEOT > & _pop)
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{
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double min, max;
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for (unsigned int i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
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{
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min = _pop[0].objectiveVector()[i];
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max = _pop[0].objectiveVector()[i];
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for (unsigned int j=1; j<_pop.size(); j++)
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{
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min = std::min(min, _pop[j].objectiveVector()[i]);
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max = std::max(max, _pop[j].objectiveVector()[i]);
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}
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// setting of the bounds for the objective i
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setup(min, max, i);
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}
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}
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/**
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* Sets the lower bound (_min) and the upper bound (_max) for the objective _obj
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* @param _min lower bound
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* @param _max upper bound
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* @param _obj the objective index
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*/
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virtual void setup(double _min, double _max, unsigned int _obj)
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{
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if (_min == _max)
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{
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_min -= tiny();
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_max += tiny();
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}
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bounds[_obj] = eoRealInterval(_min, _max);
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}
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/**
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* Sets the lower bound and the upper bound for the objective _obj using a eoRealInterval object
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* @param _realInterval the eoRealInterval object
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* @param _obj the objective index
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*/
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virtual void setup(eoRealInterval _realInterval, unsigned int _obj)
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{
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bounds[_obj] = _realInterval;
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}
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protected:
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/** the bounds for every objective (bounds[i] = bounds for the objective i) */
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std::vector < eoRealInterval > bounds;
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};
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#endif /*MOEONORMALIZEDDISTANCE_H_*/
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