792849c8bd
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@374 331e1502-861f-0410-8da2-ba01fb791d7f
58 lines
1.8 KiB
C++
58 lines
1.8 KiB
C++
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
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//-----------------------------------------------------------------------------
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// moeoManhattanDistance.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 MOEOMANHATTANDISTANCE_H_
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#define MOEOMANHATTANDISTANCE_H_
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#include <math.h>
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#include <distance/moeoNormalizedDistance.h>
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/**
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* A class allowing to compute the Manhattan distance between two solutions in the objective space normalized objective values (i.e. between 0 and 1).
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* A distance value then lies between 0 and nObjectives.
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*/
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template < class MOEOT >
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class moeoManhattanDistance : public moeoNormalizedDistance < MOEOT >
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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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* Returns the Manhattan distance between _moeo1 and _moeo2 in the objective space
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* @param _moeo1 the first solution
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* @param _moeo2 the second solution
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*/
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const double operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
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{
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double result = 0.0;
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double tmp1, tmp2;
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for (unsigned int i=0; i<ObjectiveVector::nObjectives(); i++)
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{
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tmp1 = (_moeo1.objectiveVector()[i] - bounds[i].minimum()) / bounds[i].range();
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tmp2 = (_moeo2.objectiveVector()[i] - bounds[i].minimum()) / bounds[i].range();
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result += fabs(tmp1-tmp2);
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}
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return result;
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}
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private:
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/** the bounds for every objective */
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using moeoNormalizedDistance < MOEOT > :: bounds;
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};
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#endif /*MOEOMANHATTANDISTANCE_H_*/
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