23/02/07 modifications
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@186 331e1502-861f-0410-8da2-ba01fb791d7f
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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
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//-----------------------------------------------------------------------------
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// moeoHypervolumeBinaryMetric.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 MOEOHYPERVOLUMEBINARYMETRIC_H_
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#define MOEOHYPERVOLUMEBINARYMETRIC_H_
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#include <stdexcept>
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#include <metric/moeoMetric.h>
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/**
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* Hypervolume binary metric allowing to compare two objective vectors as proposed in
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* Zitzler E., Künzli S.: Indicator-Based Selection in Multiobjective Search. In Parallel Problem Solving from Nature (PPSN VIII).
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* Lecture Notes in Computer Science 3242, Springer, Birmingham, UK pp.832–842 (2004).
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* This indicator is based on the hypervolume concept introduced in
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* Zitzler, E., Thiele, L.: Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study.
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* Parallel Problem Solving from Nature (PPSN-V), pp.292-301 (1998).
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*/
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template < class ObjectiveVector >
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class moeoHypervolumeBinaryMetric : public moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double >
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{
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public:
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/**
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* Ctor
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* @param _rho value used to compute the reference point from the worst values for each objective (default : 1.1)
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*/
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moeoHypervolumeBinaryMetric(double _rho = 1.1) : rho(_rho)
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{
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// not-a-maximization problem check
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for (unsigned i=0; i<ObjectiveVector::Traits::nObjectives(); i++)
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{
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if (ObjectiveVector::Traits::maximizing(i))
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{
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throw std::runtime_error("Hypervolume binary metric not yet implemented for a maximization problem in moeoHypervolumeBinaryMetric");
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}
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}
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// consistency check
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if (rho < 1)
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{
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cout << "Warning, value used to compute the reference point rho for the hypervolume calculation must not be smaller than 1" << endl;
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cout << "Adjusted to 1" << endl;
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rho = 1;
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}
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}
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/**
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* Returns the volume of the space that is dominated by _o2 but not by _o1 with respect to a reference point computed using rho.
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* @warning don't forget to set the bounds for every objective before the call of this function
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* @param _o1 the first objective vector
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* @param _o2 the second objective vector
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*/
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double operator()(const ObjectiveVector & _o1, const ObjectiveVector & _o2)
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{
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double result;
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// if _o1 dominates _o2
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if ( paretoComparator(_o1,_o2) )
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{
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result = - hypervolume(_o1, _o2, ObjectiveVector::Traits::nObjectives()-1);
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}
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else
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{
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result = hypervolume(_o2, _o1, ObjectiveVector::Traits::nObjectives()-1);
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}
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return result;
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}
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private:
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/** value used to compute the reference point from the worst values for each objective */
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double rho;
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/** the bounds for every objective */
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using moeoNormalizedSolutionVsSolutionBinaryMetric < ObjectiveVector, double > :: bounds;
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/** Functor to compare two objective vectors according to Pareto dominance relation */
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moeoParetoObjectiveVectorComparator < ObjectiveVector > paretoComparator;
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/**
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* Returns the volume of the space that is dominated by _o2 but not by _o1 with respect to a reference point computed using rho for the objective _obj.
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* @param _o1 the first objective vector
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* @param _o2 the second objective vector
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* @param _obj the objective index
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* @param _flag used for iteration, if _flag=true _o2 is not talen into account (default : false)
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*/
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double hypervolume(const ObjectiveVector & _o1, const ObjectiveVector & _o2, const unsigned _obj, const bool _flag = false)
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{
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double result;
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double range = rho * bounds[_obj].range();
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double max = bounds[_obj].minimum() + range;
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// value of _1 for the objective _obj
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double v1 = _o1[_obj];
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// value of _2 for the objective _obj (if _flag=true, v2=max)
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double v2;
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if (_flag)
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{
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v2 = max;
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}
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else
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{
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v2 = _o2[_obj];
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}
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// computation of the volume
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if (_obj == 0)
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{
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if (v1 < v2)
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{
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result = (v2 - v1) / range;
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}
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else
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{
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result = 0;
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}
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}
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else
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{
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if (v1 < v2)
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{
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result = ( hypervolume(_o1, _o2, _obj-1, true) * (v2 - v1) / range ) + ( hypervolume(_o1, _o2, _obj-1) * (max - v2) / range );
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}
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else
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{
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result = hypervolume(_o1, _o2, _obj-1) * (max - v2) / range;
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}
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}
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return result;
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}
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};
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#endif /*MOEOHYPERVOLUMEBINARYMETRIC_H_*/
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