nojhan/paradiseo
Watch
1
0
Fork
You've already forked paradiseo
 0
Code Issues Pull requests Projects Releases Packages Wiki Activity

Fitness assignment schemes added

Browse source 
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1620 331e1502-861f-0410-8da2-ba01fb791d7f
This commit is contained in:
jhumeau 2009-11-25 10:52:42 +00:00
commit 69c4eb90c9
19 changed files with 1845 additions and 80 deletions
Download patch file Download diff file Expand all files Collapse all files

37
trunk/paradiseo-moeo/src/distance/moeoManhattanDistance.h
View file

@ -4,6 +4,7 @@
* (C) OPAC Team, LIFL, 2002-2007
*
* Arnaud Liefooghe
* Francçois Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
@ -39,34 +40,48 @@
#define MOEOMANHATTANDISTANCE_H_
#include <math.h>
#include <distance/moeoNormalizedDistance.h>
#include <distance/moeoObjSpaceDistance.h>
#include <utils/moeoObjectiveVectorNormalizer.h>
/**
* A class allowing to compute the Manhattan distance between two solutions in the objective space normalized objective values (i.e. between 0 and 1).
* A distance value then lies between 0 and nObjectives.
*/
template < class MOEOT >
class moeoManhattanDistance : public moeoNormalizedDistance < MOEOT >
class moeoManhattanDistance : public moeoObjSpaceDistance < MOEOT >
{
public:
/** the objective vector type of the solutions */
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
/** the fitness type of the solutions */
typedef typename MOEOT::Fitness Fitness;
/**
* Returns the Manhattan distance between _moeo1 and _moeo2 in the objective space
* @param _moeo1 the first solution
* @param _moeo2 the second solution
ctr with a normalizer
@param _normalizer the normalizer used for every ObjectiveVector
*/
moeoManhattanDistance (moeoObjectiveVectorNormalizer<MOEOT> &_normalizer):normalizer(_normalizer)
{}
/**
default ctr
*/
moeoManhattanDistance ():normalizer(defaultNormalizer)
{}
/**
* Returns the Manhattan distance between _obj1 and _obj2 in the objective space
* @param _obj1 the first objective vector
* @param _obj2 the second objective vector
*/
const double operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
const double operator()(const ObjectiveVector & _obj1, const ObjectiveVector & _obj2)
{
double result = 0.0;
double tmp1, tmp2;
for (unsigned int i=0; i<ObjectiveVector::nObjectives(); i++)
{
tmp1 = (_moeo1.objectiveVector()[i] - bounds[i].minimum()) / bounds[i].range();
tmp2 = (_moeo2.objectiveVector()[i] - bounds[i].minimum()) / bounds[i].range();
tmp1 = normalizer(_obj1)[i];
tmp2 = normalizer(_obj2)[i];
result += fabs(tmp1-tmp2);
}
return result;
@ -75,8 +90,8 @@ class moeoManhattanDistance : public moeoNormalizedDistance < MOEOT >
private:
/** the bounds for every objective */
using moeoNormalizedDistance < MOEOT > :: bounds;
moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
};