file cleaned

git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1883 331e1502-861f-0410-8da2-ba01fb791d7f
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jhumeau 2010-07-08 14:56:04 +00:00
commit 8ff21724ed

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@ -43,7 +43,6 @@
#include <climits> #include <climits>
template < class MOEOT > template < class MOEOT >
struct comp struct comp
{ {
@ -76,18 +75,17 @@ public:
/** /**
* Ctr. * Ctr.
* @param _maxSize size of the archive (must be >1) * @param _maxSize size of the archive (must be >= 2)
* @param _maxValue fitness assigned to the first and the last solution in the archive (default LONG_MAX) * @param _maxValue fitness assigned to the first and the last solution in the archive (default LONG_MAX)
*/ */
moeo2DMinHypervolumeArchive(unsigned int _maxSize, double _maxValue=LONG_MAX) : std::set < MOEOT, comp<MOEOT> > (), maxSize(_maxSize), maxValue(_maxValue) moeo2DMinHypervolumeArchive(unsigned int _maxSize=100, double _maxValue=LONG_MAX) : std::set < MOEOT, comp<MOEOT> > (), maxSize(_maxSize), maxValue(_maxValue)
{ {
if(maxSize<2) maxSize = std::max((unsigned int) 2, maxSize);
maxSize=2;
} }
/** /**
* update the archive with a solution * Update the archive with a solution
* @param _moeo a solution * @param _moeo a solution
* @return true if _moeo has been added to the archive * @return true if _moeo has been added to the archive
*/ */
@ -95,58 +93,41 @@ public:
{ {
//store result //store result
bool result; bool result;
Iterator it;
//used to affect the fitness value
MOEOT* tmp;
//used to find sol with minimum fitness value
double minFit=maxValue;
Iterator itMinFit;
//If archive is empty -> add the sol and affect its fitness value //If archive is empty -> add the sol and affect its fitness value
if (size()==0){ if (size()==0)
{
result = true; result = true;
insert(_moeo); insert(_moeo);
tmp = (MOEOT*)&(*begin()); it=begin();
tmp->fitness(maxValue); fitness(it, maxValue);
} }
else{ else // test if sol can be added to the archive
//else test if sol can be added to the archive {
result = insert(_moeo.objectiveVector()); result = insert(_moeo.objectiveVector());
if (result){ if (result)
{
// if yes, insert it and recompute fitness value of MOEOT and its neighbors // if yes, insert it and recompute fitness value of MOEOT and its neighbors
insert(hint,_moeo); insert(hint,_moeo);
if(size()>2){ if(size() > 2)
{
//general case //general case
hint--; hint--;
computeFitness(hint); computeFitness(hint);
} }
else{ else
//archive size < 3, fitness=maxValue for each sol {
Iterator it=begin(); //archive size <= 2, fitness=maxValue for each sol
while(it!=end()){ it=begin();
tmp = (MOEOT*)&(*it); while(it!=end())
tmp->fitness(maxValue); {
fitness(it, maxValue);
it++; it++;
} }
} }
//remove MOEOT with the lowest fitness value if archive size > maxSize // remove MOEOT with the lowest fitness value (if archive size > maxSize)
if(size()>maxSize){ filter();
//find sol with minimum fitness
for(Iterator i=begin(); i!=end(); i++){
if(i->fitness() < minFit){
minFit=i->fitness();
itMinFit=i;
}
}
//remove it and recompute fitness of its neighbors
Iterator ittmp=itMinFit;
ittmp--;
erase(itMinFit);
compute(ittmp);
ittmp++;
compute(ittmp);
}
} }
} }
return result; return result;
@ -170,8 +151,9 @@ public:
return result; return result;
} }
/** /**
* Test if insertion is possible and fix hint if yes * Test if insertion wrt Pareto-dominance is possible, and fix 'hint' if possible
* @param _objVec the objective vector of the sol to insert * @param _objVec the objective vector of the sol to insert
* @return true if objVec can be added to the archive wrt Pareto-dominance * @return true if objVec can be added to the archive wrt Pareto-dominance
*/ */
@ -205,29 +187,43 @@ public:
return result; return result;
} }
/** /**
* print objective vector and fitness value of the archive * print objective vector and fitness value of the archive
*/ */
void print(){ void print(){
Iterator it = begin(); Iterator it = begin();
while(it!=end()){ while(it!=end())
{
std::cout << (*it).objectiveVector()[0] << " " << (*it).objectiveVector()[1] << ", fit: " << (*it).fitness() << std::endl; std::cout << (*it).objectiveVector()[0] << " " << (*it).objectiveVector()[1] << ", fit: " << (*it).fitness() << std::endl;
it++; it++;
} }
} }
protected:
/** an empty MOEOT used for checking insertion */ protected:
MOEOT empty;
/** hint for the insertion */
Iterator hint;
/** Size max of the archive*/ /** Size max of the archive*/
unsigned int maxSize; unsigned int maxSize;
/** fitness assigned to the first and the last solution in the archive */ /** fitness assigned to the first and the last solution in the archive */
double maxValue; double maxValue;
/** hint for the insertion */
Iterator hint;
/** an empty MOEOT used for checking insertion */
MOEOT empty;
/**
* set fitness
*/
void fitness(Iterator & _it, double _fitnessValue)
{
MOEOT* tmp;
tmp = (MOEOT*)&(*_it);
tmp->fitness(_fitnessValue);
}
/** /**
* remove solutions from the archive that are dominated by _objVec * remove solutions from the archive that are dominated by _objVec
@ -245,47 +241,54 @@ protected:
} }
} }
/** /**
* compute fitness value of a solution and its two neighbors * compute fitness value of a solution and its two neighbors
* @param _it refer to the solution * @param _it refer to the solution
*/ */
void computeFitness(Iterator& _it){ void computeFitness(Iterator & _it)
{
Iterator tmp; Iterator tmp;
if(_it!=begin()){ if(_it!=begin())
{
tmp=_it; tmp=_it;
tmp--; tmp--;
compute(tmp); compute(tmp);
} }
_it++; _it++;
if(_it!=end()){ if(_it!=end())
{
_it--; _it--;
tmp=_it; tmp=_it;
tmp++; tmp++;
compute(tmp); compute(tmp);
} }
else{ else
{
_it--; _it--;
} }
compute(_it); compute(_it);
} }
/** /**
* compute fitness value of a solution * compute fitness value of a solution
* @param _it refer to the solution * @param _it refer to the solution
*/ */
void compute(Iterator& _it){ void compute(Iterator & _it)
{
double x0, x1, y0, y1, fit; double x0, x1, y0, y1, fit;
MOEOT* tmp; if (_it==begin())
if(_it==begin()){ {
tmp = (MOEOT*)&(*_it); fitness(_it, maxValue);
tmp->fitness(maxValue);
} }
else if((++_it)==end()){ else if ((++_it)==end())
{
_it--; _it--;
tmp = (MOEOT*)&(*_it); fitness(_it, maxValue);
tmp->fitness(maxValue);
} }
else{ else
{
_it--; _it--;
x0 = (*_it).objectiveVector()[0]; x0 = (*_it).objectiveVector()[0];
y0 = (*_it).objectiveVector()[1]; y0 = (*_it).objectiveVector()[1];
@ -296,10 +299,45 @@ protected:
y1 = (*_it).objectiveVector()[1]; y1 = (*_it).objectiveVector()[1];
_it--; _it--;
fit = (x1 - x0) * (y1 - y0); fit = (x1 - x0) * (y1 - y0);
tmp = (MOEOT*)&(*_it); fitness(_it, fit);
tmp->fitness(fit); //tmp = (MOEOT*)&(*_it);
//tmp->fitness(fit);
} }
} }
/**
* iteratively removes the less-contributing solution from the acrhive
*/
void filter()
{
// ierators
Iterator it, itd;
//used to find sol with minimum fitness value
double minFit = maxValue;
// remove MOEOT with the lowest fitness value while archive size > maxSize
while (size() > maxSize)
{
//find sol with minimum fitness
for(it=begin(); it!=end(); it++)
{
if(it->fitness() < minFit)
{
minFit = it->fitness();
itd = it;
}
}
//remove it and recompute fitness of its neighbors
it = itd;
it--;
erase(itd);
compute(it);
it++;
compute(it);
}
}
}; };
#endif /*MOEO2DMINHYPERVOLUMEARCHIVE_H_ */ #endif /*MOEO2DMINHYPERVOLUMEARCHIVE_H_ */