git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@191 331e1502-861f-0410-8da2-ba01fb791d7f
This commit is contained in:
legrand
parent
9cf132205f
commit
2fa772ecce
36 changed files with 0 additions and 3389 deletions
|
|
@ -1,283 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// MOEO.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEO_H_
|
||||
#define MOEO_H_
|
||||
|
||||
#include <iostream>
|
||||
#include <stdexcept>
|
||||
#include <string>
|
||||
#include <EO.h>
|
||||
|
||||
/**
|
||||
* Base class allowing to represent a solution (an individual) for multi-objective optimization.
|
||||
* The template argument MOEOObjectiveVector allows to represent the solution in the objective space (it can be a moeoObjectiveVector object).
|
||||
* The template argument MOEOFitness is an object reflecting the quality of the solution in term of convergence (the fitness of a solution is always to be maximized).
|
||||
* The template argument MOEODiversity is an object reflecting the quality of the solution in term of diversity (the diversity of a solution is always to be maximized).
|
||||
* All template arguments must have a void and a copy constructor.
|
||||
* Besides, note that, contrary to the mono-objective case (and to EO) where the fitness value of a solution is confused with its objective value,
|
||||
* the fitness value differs of the objectives values in the multi-objective case.
|
||||
*
|
||||
* !!!!!!!!!!!!!!!!! !!!!!
|
||||
* operator '<' et '>' ???
|
||||
* !!!!!!!!!!!!!!!!!!!!!!!
|
||||
*/
|
||||
template < class MOEOObjectiveVector, class MOEOFitness, class MOEODiversity > class MOEO:public EO <
|
||||
MOEOFitness
|
||||
>
|
||||
{
|
||||
public:
|
||||
|
||||
/** the objective vector type of a solution */
|
||||
typedef MOEOObjectiveVector ObjectiveVector;
|
||||
|
||||
/** the fitness type of a solution */
|
||||
typedef MOEOFitness Fitness;
|
||||
|
||||
/** the diversity type of a solution */
|
||||
typedef MOEODiversity Diversity;
|
||||
|
||||
|
||||
/**
|
||||
* Ctor
|
||||
*/
|
||||
MOEO ()
|
||||
{
|
||||
// default values for every parameters
|
||||
objectiveVectorValue = ObjectiveVector ();
|
||||
fitnessValue = Fitness ();
|
||||
diversityValue = Diversity ();
|
||||
// invalidate all
|
||||
invalidate ();
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Virtual dtor
|
||||
*/
|
||||
virtual ~ MOEO ()
|
||||
{
|
||||
};
|
||||
|
||||
|
||||
/**
|
||||
* Returns the objective vector of the current solution
|
||||
*/
|
||||
ObjectiveVector objectiveVector () const
|
||||
{
|
||||
if (invalidObjectiveVector ())
|
||||
{
|
||||
throw std::runtime_error ("invalid objective vector");
|
||||
}
|
||||
return objectiveVectorValue;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Sets the objective vector of the current solution
|
||||
* @param _objectiveVectorValue the new objective vector
|
||||
*/
|
||||
void objectiveVector (const ObjectiveVector & _objectiveVectorValue)
|
||||
{
|
||||
objectiveVectorValue = _objectiveVectorValue;
|
||||
invalidObjectiveVectorValue = false;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Sets the objective vector as invalid
|
||||
*/
|
||||
void invalidateObjectiveVector ()
|
||||
{
|
||||
invalidObjectiveVectorValue = true;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns true if the objective vector is invalid, false otherwise
|
||||
*/
|
||||
bool invalidObjectiveVector () const
|
||||
{
|
||||
return invalidObjectiveVectorValue;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns the fitness value of the current solution
|
||||
*/
|
||||
Fitness fitness () const
|
||||
{
|
||||
if (invalidFitness ())
|
||||
{
|
||||
throw std::runtime_error ("invalid fitness");
|
||||
}
|
||||
return fitnessValue;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Sets the fitness value of the current solution
|
||||
* @param _fitnessValue the new fitness value
|
||||
*/
|
||||
void fitness (const Fitness & _fitnessValue)
|
||||
{
|
||||
fitnessValue = _fitnessValue;
|
||||
invalidFitnessValue = false;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Sets the fitness value as invalid
|
||||
*/
|
||||
void invalidateFitness ()
|
||||
{
|
||||
invalidFitnessValue = true;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns true if the fitness value is invalid, false otherwise
|
||||
*/
|
||||
bool invalidFitness () const
|
||||
{
|
||||
return invalidFitnessValue;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns the diversity value of the current solution
|
||||
*/
|
||||
Diversity diversity () const
|
||||
{
|
||||
if (invalidDiversity ())
|
||||
{
|
||||
throw std::runtime_error ("invalid diversity");
|
||||
}
|
||||
return diversityValue;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Sets the diversity value of the current solution
|
||||
* @param _diversityValue the new diversity value
|
||||
*/
|
||||
void diversity (const Diversity & _diversityValue)
|
||||
{
|
||||
diversityValue = _diversityValue;
|
||||
invalidDiversityValue = false;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Sets the diversity value as invalid
|
||||
*/
|
||||
void invalidateDiversity ()
|
||||
{
|
||||
invalidDiversityValue = true;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns true if the diversity value is invalid, false otherwise
|
||||
*/
|
||||
bool invalidDiversity () const
|
||||
{
|
||||
return invalidDiversityValue;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Sets the objective vector, the fitness value and the diversity value as invalid
|
||||
*/
|
||||
void invalidate ()
|
||||
{
|
||||
invalidateObjectiveVector ();
|
||||
invalidateFitness ();
|
||||
invalidateDiversity ();
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns true if the fitness value is invalid, false otherwise
|
||||
*/
|
||||
bool invalid () const
|
||||
{
|
||||
return invalidObjectiveVector ();
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Return the class id (the class name as a std::string)
|
||||
*/
|
||||
virtual std::string className () const
|
||||
{
|
||||
return "MOEO";
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Writing object
|
||||
* @param _os output stream
|
||||
*/
|
||||
virtual void printOn (std::ostream & _os) const
|
||||
{
|
||||
if (invalidObjectiveVector ())
|
||||
{
|
||||
_os << "INVALID\t";
|
||||
}
|
||||
else
|
||||
{
|
||||
_os << objectiveVectorValue << '\t';
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Reading object
|
||||
* @param _is input stream
|
||||
*/
|
||||
virtual void readFrom (std::istream & _is)
|
||||
{
|
||||
std::string objectiveVector_str;
|
||||
int pos = _is.tellg ();
|
||||
_is >> objectiveVector_str;
|
||||
if (objectiveVector_str == "INVALID")
|
||||
{
|
||||
invalidateObjectiveVector ();
|
||||
}
|
||||
else
|
||||
{
|
||||
invalidObjectiveVectorValue = false;
|
||||
_is.seekg (pos); // rewind
|
||||
_is >> objectiveVectorValue;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
|
||||
/** the objective vector of this solution */
|
||||
ObjectiveVector objectiveVectorValue;
|
||||
/** true if the objective vector is invalid */
|
||||
bool invalidObjectiveVectorValue;
|
||||
/** the fitness value of this solution */
|
||||
Fitness fitnessValue;
|
||||
/** true if the fitness value is invalid */
|
||||
bool invalidFitnessValue;
|
||||
/** the diversity value of this solution */
|
||||
Diversity diversityValue;
|
||||
/** true if the diversity value is invalid */
|
||||
bool invalidDiversityValue;
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEO_H_ */
|
||||
|
|
@ -1 +0,0 @@
|
|||
# Nothing to compile !
|
||||
|
|
@ -1,39 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoAdditiveEpsilonBinaryMetric.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOADDITIVEEPSILONBINARYMETRIC_H_
|
||||
#define MOEOADDITIVEEPSILONBINARYMETRIC_H_
|
||||
|
||||
#include <metric/moeoMetric.h>
|
||||
|
||||
/**
|
||||
*
|
||||
*/
|
||||
template < class MOEOT >
|
||||
class moeoAdditiveEpsilonBinaryMetric : public moeoSolutionVsSolutionBinaryMetric < MOEOT, double >
|
||||
{
|
||||
public:
|
||||
|
||||
/** the objective vector type of a solution */
|
||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
|
||||
|
||||
moeoAdditiveEpsilonBinaryMetric();
|
||||
|
||||
|
||||
double operator()(const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2)
|
||||
{
|
||||
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOADDITIVEEPSILONBINARYMETRIC_H_*/
|
||||
|
|
@ -1,88 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoBinaryMetricSavingUpdater.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOBINARYMETRICSAVINGUPDATER_H_
|
||||
#define MOEOBINARYMETRICSAVINGUPDATER_H_
|
||||
|
||||
#include <fstream>
|
||||
#include <string>
|
||||
#include <eoPop.h>
|
||||
#include <utils/eoUpdater.h>
|
||||
#include <metric/moeoMetric.h>
|
||||
|
||||
/**
|
||||
* This class allows to save the progression of a binary metric comparing the objective vectors of the current population (or archive)
|
||||
* with the objective vectors of the population (or archive) of the generation (n-1) into a file
|
||||
*/
|
||||
template < class MOEOT >
|
||||
class moeoBinaryMetricSavingUpdater : public eoUpdater
|
||||
{
|
||||
public:
|
||||
|
||||
/**
|
||||
* The objective vector type of a solution
|
||||
*/
|
||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
|
||||
|
||||
/**
|
||||
* Ctor
|
||||
* @param _metric the binary metric comparing two Pareto sets
|
||||
* @param _pop the main population
|
||||
* @param _filename the target filename
|
||||
*/
|
||||
moeoBinaryMetricSavingUpdater (moeoVectorVsVectorBinaryMetric < ObjectiveVector, double > & _metric, const eoPop < MOEOT > & _pop, std::string _filename) :
|
||||
metric(_metric), pop(_pop), filename(_filename), counter(1)
|
||||
{}
|
||||
|
||||
/**
|
||||
* Saves the metric's value for the current generation
|
||||
*/
|
||||
void operator()() {
|
||||
if (pop.size()) {
|
||||
if (firstGen) {
|
||||
firstGen = false;
|
||||
}
|
||||
else {
|
||||
// creation of the two Pareto sets
|
||||
std::vector < ObjectiveVector > from;
|
||||
std::vector < ObjectiveVector > to;
|
||||
for (unsigned i=0; i<pop.size(); i++)
|
||||
from.push_back(pop[i].objectiveVector());
|
||||
for (unsigned i=0 ; i<oldPop.size(); i++)
|
||||
to.push_back(oldPop[i].objectiveVector());
|
||||
// writing the result into the file
|
||||
std::ofstream f (filename.c_str(), std::ios::app);
|
||||
f << counter++ << ' ' << metric(from,to) << std::endl;
|
||||
f.close();
|
||||
}
|
||||
oldPop = pop;
|
||||
}
|
||||
}
|
||||
|
||||
private:
|
||||
|
||||
/** binary metric comparing two Pareto sets */
|
||||
moeoVectorVsVectorBinaryMetric < ObjectiveVector, double > & metric;
|
||||
/** main population */
|
||||
const eoPop < MOEOT > & pop;
|
||||
/** (n-1) population */
|
||||
eoPop< MOEOT > oldPop;
|
||||
/** target filename */
|
||||
std::string filename;
|
||||
/** is it the first generation ? */
|
||||
bool firstGen;
|
||||
/** counter */
|
||||
unsigned counter;
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOBINARYMETRICSAVINGUPDATER_H_*/
|
||||
|
|
@ -1,98 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoContributionMetric.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOCONTRIBUTIONMETRIC_H_
|
||||
#define MOEOCONTRIBUTIONMETRIC_H_
|
||||
|
||||
#include <metric/moeoMetric.h>
|
||||
|
||||
/**
|
||||
* The contribution metric evaluates the proportion of non-dominated solutions given by a Pareto set relatively to another Pareto set
|
||||
* (Meunier, Talbi, Reininger: 'A multiobjective genetic algorithm for radio network optimization', in Proc. of the 2000 Congress on Evolutionary Computation, IEEE Press, pp. 317-324)
|
||||
*/
|
||||
template < class ObjectiveVector >
|
||||
class moeoContributionMetric : public moeoVectorVsVectorBinaryMetric < ObjectiveVector, double >
|
||||
{
|
||||
public:
|
||||
|
||||
/**
|
||||
* Returns the contribution of the Pareto set '_set1' relatively to the Pareto set '_set2'
|
||||
* @param _set1 the first Pareto set
|
||||
* @param _set2 the second Pareto set
|
||||
*/
|
||||
double operator()(const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2) {
|
||||
unsigned c = card_C(_set1, _set2);
|
||||
unsigned w1 = card_W(_set1, _set2);
|
||||
unsigned n1 = card_N(_set1, _set2);
|
||||
unsigned w2 = card_W(_set2, _set1);
|
||||
unsigned n2 = card_N(_set2, _set1);
|
||||
return (double) (c / 2.0 + w1 + n1) / (c + w1 + n1 + w2 + n2);
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
|
||||
/**
|
||||
* Returns the number of solutions both in '_set1' and '_set2'
|
||||
* @param _set1 the first Pareto set
|
||||
* @param _set2 the second Pareto set
|
||||
*/
|
||||
unsigned card_C (const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2) {
|
||||
unsigned c=0;
|
||||
for (unsigned i=0; i<_set1.size(); i++)
|
||||
for (unsigned j=0; j<_set2.size(); j++)
|
||||
if (_set1[i] == _set2[j]) {
|
||||
c++;
|
||||
break;
|
||||
}
|
||||
return c;
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns the number of solutions in '_set1' dominating at least one solution of '_set2'
|
||||
* @param _set1 the first Pareto set
|
||||
* @param _set2 the second Pareto set
|
||||
*/
|
||||
unsigned card_W (const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2) {
|
||||
unsigned w=0;
|
||||
for (unsigned i=0; i<_set1.size(); i++)
|
||||
for (unsigned j=0; j<_set2.size(); j++)
|
||||
if (_set1[i].dominates(_set2[j])) {
|
||||
w++;
|
||||
break;
|
||||
}
|
||||
return w;
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns the number of solutions in '_set1' having no relation of dominance with those from '_set2'
|
||||
* @param _set1 the first Pareto set
|
||||
* @param _set2 the second Pareto set
|
||||
*/
|
||||
unsigned card_N (const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2) {
|
||||
unsigned n=0;
|
||||
for (unsigned i=0; i<_set1.size(); i++) {
|
||||
bool domin_rel = false;
|
||||
for (unsigned j=0; j<_set2.size(); j++)
|
||||
if (_set1[i].dominates(_set2[j]) || _set2[j].dominates(_set1 [i])) {
|
||||
domin_rel = true;
|
||||
break;
|
||||
}
|
||||
if (! domin_rel)
|
||||
n++;
|
||||
}
|
||||
return n;
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOCONTRIBUTIONMETRIC_H_*/
|
||||
|
|
@ -1,177 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoEntropyMetric.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOENTROPYMETRIC_H_
|
||||
#define MOEOENTROPYMETRIC_H_
|
||||
|
||||
#include <metric/moeoMetric.h>
|
||||
|
||||
/**
|
||||
* The entropy gives an idea of the diversity of a Pareto set relatively to another
|
||||
* (Basseur, Seynhaeve, Talbi: 'Design of Multi-objective Evolutionary Algorithms: Application to the Flow-shop Scheduling Problem', in Proc. of the 2002 Congress on Evolutionary Computation, IEEE Press, pp. 1155-1156)
|
||||
*/
|
||||
template < class ObjectiveVector >
|
||||
class moeoEntropyMetric : public moeoVectorVsVectorBinaryMetric < ObjectiveVector, double >
|
||||
{
|
||||
public:
|
||||
|
||||
/**
|
||||
* Returns the entropy of the Pareto set '_set1' relatively to the Pareto set '_set2'
|
||||
* @param _set1 the first Pareto set
|
||||
* @param _set2 the second Pareto set
|
||||
*/
|
||||
double operator()(const std::vector < ObjectiveVector > & _set1, const std::vector < ObjectiveVector > & _set2) {
|
||||
// normalization
|
||||
std::vector< ObjectiveVector > set1 = _set1;
|
||||
std::vector< ObjectiveVector > set2= _set2;
|
||||
removeDominated (set1);
|
||||
removeDominated (set2);
|
||||
prenormalize (set1);
|
||||
normalize (set1);
|
||||
normalize (set2);
|
||||
|
||||
// making of PO*
|
||||
std::vector< ObjectiveVector > star; // rotf :-)
|
||||
computeUnion (set1, set2, star);
|
||||
removeDominated (star);
|
||||
|
||||
// making of PO1 U PO*
|
||||
std::vector< ObjectiveVector > union_set1_star; // rotf again ...
|
||||
computeUnion (set1, star, union_set1_star);
|
||||
|
||||
unsigned C = union_set1_star.size();
|
||||
float omega=0;
|
||||
float entropy=0;
|
||||
|
||||
for (unsigned i=0 ; i<C ; i++) {
|
||||
unsigned N_i = howManyInNicheOf (union_set1_star, union_set1_star[i], star.size());
|
||||
unsigned n_i = howManyInNicheOf (set1, union_set1_star[i], star.size());
|
||||
if (n_i > 0) {
|
||||
omega += 1.0 / N_i;
|
||||
entropy += (float) n_i / (N_i * C) * log (((float) n_i / C) / log (2.0));
|
||||
}
|
||||
}
|
||||
entropy /= - log (omega);
|
||||
entropy *= log (2.0);
|
||||
return entropy;
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
|
||||
/** vector of min values */
|
||||
std::vector<double> vect_min_val;
|
||||
/** vector of max values */
|
||||
std::vector<double> vect_max_val;
|
||||
|
||||
|
||||
/**
|
||||
* Removes the dominated individuals contained in _f
|
||||
* @param _f a Pareto set
|
||||
*/
|
||||
void removeDominated(std::vector < ObjectiveVector > & _f) {
|
||||
for (unsigned i=0 ; i<_f.size(); i++) {
|
||||
bool dom = false;
|
||||
for (unsigned j=0; j<_f.size(); j++)
|
||||
if (i != j && _f[j].dominates(_f[i])) {
|
||||
dom = true;
|
||||
break;
|
||||
}
|
||||
if (dom) {
|
||||
_f[i] = _f.back();
|
||||
_f.pop_back();
|
||||
i--;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Prenormalization
|
||||
* @param _f a Pareto set
|
||||
*/
|
||||
void prenormalize (const std::vector< ObjectiveVector > & _f) {
|
||||
vect_min_val.clear();
|
||||
vect_max_val.clear();
|
||||
|
||||
for (unsigned char i=0 ; i<ObjectiveVector::nObjectives(); i++) {
|
||||
float min_val = _f.front()[i], max_val = min_val;
|
||||
for (unsigned j=1 ; j<_f.size(); j++) {
|
||||
if (_f[j][i] < min_val)
|
||||
min_val = _f[j][i];
|
||||
if (_f[j][i]>max_val)
|
||||
max_val = _f[j][i];
|
||||
}
|
||||
vect_min_val.push_back(min_val);
|
||||
vect_max_val.push_back (max_val);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Normalization
|
||||
* @param _f a Pareto set
|
||||
*/
|
||||
void normalize (std::vector< ObjectiveVector > & _f) {
|
||||
for (unsigned i=0 ; i<ObjectiveVector::nObjectives(); i++)
|
||||
for (unsigned j=0; j<_f.size(); j++)
|
||||
_f[j][i] = (_f[j][i] - vect_min_val[i]) / (vect_max_val[i] - vect_min_val[i]);
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Computation of the union of _f1 and _f2 in _f
|
||||
* @param _f1 the first Pareto set
|
||||
* @param _f2 the second Pareto set
|
||||
* @param _f the final Pareto set
|
||||
*/
|
||||
void computeUnion(const std::vector< ObjectiveVector > & _f1, const std::vector< ObjectiveVector > & _f2, std::vector< ObjectiveVector > & _f) {
|
||||
_f = _f1 ;
|
||||
for (unsigned i=0; i<_f2.size(); i++) {
|
||||
bool b = false;
|
||||
for (unsigned j=0; j<_f1.size(); j ++)
|
||||
if (_f1[j] == _f2[i]) {
|
||||
b = true;
|
||||
break;
|
||||
}
|
||||
if (! b)
|
||||
_f.push_back(_f2[i]);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* How many in niche
|
||||
*/
|
||||
unsigned howManyInNicheOf (const std::vector< ObjectiveVector > & _f, const ObjectiveVector & _s, unsigned _size) {
|
||||
unsigned n=0;
|
||||
for (unsigned i=0 ; i<_f.size(); i++) {
|
||||
if (euclidianDistance(_f[i], _s) < (_s.size() / (double) _size))
|
||||
n++;
|
||||
}
|
||||
return n;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Euclidian distance
|
||||
*/
|
||||
double euclidianDistance (const ObjectiveVector & _set1, const ObjectiveVector & _to, unsigned _deg = 2) {
|
||||
double dist=0;
|
||||
for (unsigned i=0; i<_set1.size(); i++)
|
||||
dist += pow(fabs(_set1[i] - _to[i]), (int)_deg);
|
||||
return pow(dist, 1.0 / _deg);
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOENTROPYMETRIC_H_*/
|
||||
|
|
@ -1,81 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoMetric.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOMETRIC_H_
|
||||
#define MOEOMETRIC_H_
|
||||
|
||||
#include <eoFunctor.h>
|
||||
|
||||
/**
|
||||
* Base class for performance metrics (also known as quality indicators).
|
||||
*/
|
||||
class moeoMetric : public eoFunctorBase
|
||||
{};
|
||||
|
||||
|
||||
/**
|
||||
* Base class for unary metrics.
|
||||
*/
|
||||
template < class A, class R >
|
||||
class moeoUnaryMetric : public eoUF < A, R >, public moeoMetric
|
||||
{};
|
||||
|
||||
|
||||
/**
|
||||
* Base class for binary metrics.
|
||||
*/
|
||||
template < class A1, class A2, class R >
|
||||
class moeoBinaryMetric : public eoBF < A1, A2, R >, public moeoMetric
|
||||
{};
|
||||
|
||||
|
||||
/**
|
||||
* Base class for unary metrics dedicated to the performance evaluation of a single solution's objective vector.
|
||||
*/
|
||||
template < class ObjectiveVector, class R >
|
||||
class moeoSolutionUnaryMetric : public moeoUnaryMetric < const ObjectiveVector &, R >
|
||||
{};
|
||||
|
||||
|
||||
/**
|
||||
* Base class for unary metrics dedicated to the performance evaluation of a Pareto set (a vector of objective vectors)
|
||||
*/
|
||||
template < class ObjectiveVector, class R >
|
||||
class moeoVectorUnaryMetric : public moeoUnaryMetric < const std::vector < ObjectiveVector > &, R >
|
||||
{};
|
||||
|
||||
|
||||
/**
|
||||
* Base class for binary metrics dedicated to the performance comparison between two solutions's objective vectors.
|
||||
*/
|
||||
template < class ObjectiveVector, class R >
|
||||
class moeoSolutionVsSolutionBinaryMetric : public moeoBinaryMetric < const ObjectiveVector &, const ObjectiveVector &, R >
|
||||
{};
|
||||
|
||||
|
||||
/**
|
||||
* Base class for binary metrics dedicated to the performance comparison between a Pareto set (a vector of objective vectors) and a single solution's objective vector.
|
||||
*/
|
||||
template < class ObjectiveVector, class R >
|
||||
class moeoVectorVsSolutionBinaryMetric : public moeoBinaryMetric < const std::vector < ObjectiveVector > &, const ObjectiveVector &, R >
|
||||
{};
|
||||
|
||||
|
||||
/**
|
||||
* Base class for binary metrics dedicated to the performance comparison between two Pareto sets (two vectors of objective vectors)
|
||||
*/
|
||||
template < class ObjectiveVector, class R >
|
||||
class moeoVectorVsVectorBinaryMetric : public moeoBinaryMetric < const std::vector < ObjectiveVector > &, const std::vector < ObjectiveVector > &, R >
|
||||
{};
|
||||
|
||||
|
||||
#endif /*MOEOMETRIC_H_*/
|
||||
|
|
@ -1,43 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeo
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEO_
|
||||
#define MOEO_
|
||||
|
||||
#include <eo>
|
||||
|
||||
#include <metric/moeoBinaryMetricSavingUpdater.h>
|
||||
#include <metric/moeoContributionMetric.h>
|
||||
#include <metric/moeoEntropyMetric.h>
|
||||
#include <metric/moeoMetric.h>
|
||||
#include <moeoArchiveFitnessSavingUpdater.h>
|
||||
#include <moeoArchiveUpdater.h>
|
||||
#include <moeoArchive.h>
|
||||
#include <moeoCombinedLS.h>
|
||||
#include <moeoComparator.h>
|
||||
#include <moeoDiversityAssignment.h>
|
||||
#include <moeoEA.h>
|
||||
#include <moeoEvalFunc.h>
|
||||
#include <moeoFastNonDominatedSortingFitnessAssignment.h>
|
||||
#include <moeoGenerationalReplacement.h>
|
||||
#include <moeoHybridLS.h>
|
||||
#include <moeoLS.h>
|
||||
#include <moeoObjectiveVectorComparator.h>
|
||||
#include <moeoObjectiveVectorTraits.h>
|
||||
#include <moeoObjectiveVector.h>
|
||||
#include <moeoRandomSelectOne.h>
|
||||
#include <moeoReplacement.h>
|
||||
#include <moeoSelectOneFromPopAndArch.h>
|
||||
#include <moeoSelectOne.h>
|
||||
#include <MOEO.h>
|
||||
|
||||
#endif /*MOEO_*/
|
||||
|
|
@ -1,161 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoArchive.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOARCHIVE_H_
|
||||
#define MOEOARCHIVE_H_
|
||||
|
||||
#include <eoPop.h>
|
||||
|
||||
/**
|
||||
* An archive is a secondary population that stores non-dominated solutions
|
||||
*/
|
||||
template < class MOEOT > class moeoArchive:public eoPop < MOEOT >
|
||||
{
|
||||
public:
|
||||
|
||||
using std::vector < MOEOT >::size;
|
||||
using std::vector < MOEOT >::operator[];
|
||||
using std::vector < MOEOT >::back;
|
||||
using std::vector < MOEOT >::pop_back;
|
||||
|
||||
|
||||
/**
|
||||
* The type of an objective vector for a solution
|
||||
*/
|
||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
|
||||
|
||||
|
||||
/**
|
||||
* Default ctor.
|
||||
* The moeoObjectiveVectorComparator used to compare solutions is based on Pareto dominance
|
||||
*/
|
||||
moeoArchive ():eoPop < MOEOT > (), comparator (paretoComparator)
|
||||
{
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Ctor
|
||||
* @param _comparator the moeoObjectiveVectorComparator used to compare solutions
|
||||
*/
|
||||
moeoArchive (moeoObjectiveVectorComparator < ObjectiveVector > &_comparator):eoPop < MOEOT > (),
|
||||
comparator
|
||||
(_comparator)
|
||||
{
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns true if the current archive dominates _objectiveVector according to the moeoObjectiveVectorComparator given in the constructor
|
||||
* @param _objectiveVector the objective vector to compare with the current archive
|
||||
*/
|
||||
bool dominates (const ObjectiveVector & _objectiveVector) const
|
||||
{
|
||||
for (unsigned i = 0; i < size (); i++)
|
||||
{
|
||||
if (comparator (operator[](i).fitness (), _objectiveVector) == 1)
|
||||
{
|
||||
return true;
|
||||
}
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns true if the current archive already contains a solution with the same objective values than _objectiveVector
|
||||
* @param _objectiveVector the objective vector to compare with the current archive
|
||||
*/
|
||||
bool contains (const ObjectiveVector & _objectiveVector) const
|
||||
{
|
||||
for (unsigned i = 0; i < size; i++)
|
||||
{
|
||||
if (operator[](i).fitness () == _objectiveVector)
|
||||
{
|
||||
return true;
|
||||
}
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Updates the archive with a given individual _moeo
|
||||
* @param _moeo the given individual
|
||||
*/
|
||||
void update (const MOEOT & _moeo)
|
||||
{
|
||||
// first step: removing the dominated solutions from the archive
|
||||
for (unsigned j = 0; j < size ();)
|
||||
{
|
||||
// if _moeo.fitness() dominates operator[](j).fitness()
|
||||
//if ( comparator(_moeo.fitness(), operator[](j).fitness())==1 )
|
||||
if (comparator
|
||||
(_moeo.objectiveVector (), operator[](j).objectiveVector ()) == 1)
|
||||
{
|
||||
operator[](j) = back ();
|
||||
pop_back ();
|
||||
}
|
||||
//else if (_moeo.fitness() == operator[](j).fitness())
|
||||
else if (_moeo.objectiveVector () == operator[](j).objectiveVector ())
|
||||
{
|
||||
operator[](j) = back ();
|
||||
pop_back ();
|
||||
}
|
||||
else
|
||||
{
|
||||
j++;
|
||||
}
|
||||
}
|
||||
// second step: is _moeo dominated?
|
||||
bool dom = false;
|
||||
for (unsigned j = 0; j < size (); j++)
|
||||
{
|
||||
// if operator[](j).fitness() dominates _moeo.fitness()
|
||||
//if ( comparator(operator[](j).fitness(), _moeo.fitness())==1 )
|
||||
if (comparator
|
||||
(operator[](j).objectiveVector (), _moeo.objectiveVector ()) == 1)
|
||||
{
|
||||
dom = true;
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (!dom)
|
||||
{
|
||||
push_back (_moeo);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Updates the archive with a given population _pop
|
||||
* @param _pop the given population
|
||||
*/
|
||||
void update (const eoPop < MOEOT > &_pop)
|
||||
{
|
||||
for (unsigned i = 0; i < _pop.size (); i++)
|
||||
{
|
||||
update (_pop[i]);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
|
||||
/** The moeoObjectiveVectorComparator used to compare solutions */
|
||||
moeoObjectiveVectorComparator < ObjectiveVector > &comparator;
|
||||
/** A moeoObjectiveVectorComparator based on Pareto dominance (used as default) */
|
||||
moeoParetoObjectiveVectorComparator < ObjectiveVector > paretoComparator;
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOARCHIVE_H_ */
|
||||
|
|
@ -1,73 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoArchiveFitnessSavingUpdater.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2006
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOARCHIVEFITNESSSAVINGUPDATER_H_
|
||||
#define MOEOARCHIVEFITNESSSAVINGUPDATER_H_
|
||||
|
||||
#include <fstream>
|
||||
#include <string>
|
||||
#include <eoPop.h>
|
||||
#include <utils/eoUpdater.h>
|
||||
#include <moeoArchive.h>
|
||||
|
||||
#define MAX_BUFFER_SIZE 1000
|
||||
|
||||
/**
|
||||
* This class allows to save the fitnesses of solutions contained in an archive into a file at each generation.
|
||||
*/
|
||||
template < class EOT > class moeoArchiveFitnessSavingUpdater:public eoUpdater
|
||||
{
|
||||
public:
|
||||
|
||||
/**
|
||||
* Ctor
|
||||
* @param _arch local archive
|
||||
* @param _filename target filename
|
||||
* @param _id own ID
|
||||
*/
|
||||
moeoArchiveFitnessSavingUpdater (moeoArchive < EOT > &_arch, const std::string & _filename = "Res/Arch", int _id = -1):arch (_arch), filename (_filename), id (_id),
|
||||
counter
|
||||
(0)
|
||||
{
|
||||
}
|
||||
|
||||
/**
|
||||
* Saves the fitness of the archive's members into the file
|
||||
*/
|
||||
void operator () ()
|
||||
{
|
||||
char buff[MAX_BUFFER_SIZE];
|
||||
if (id == -1)
|
||||
sprintf (buff, "%s.%u", filename.c_str (), counter++);
|
||||
else
|
||||
sprintf (buff, "%s.%u.%u", filename.c_str (), id, counter++);
|
||||
std::ofstream f (buff);
|
||||
for (unsigned i = 0; i < arch.size (); i++)
|
||||
f << arch[i].objectiveVector () << std::endl;
|
||||
f.close ();
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
|
||||
/** local archive */
|
||||
moeoArchive < EOT > &arch;
|
||||
/** target filename */
|
||||
std::string filename;
|
||||
/** own ID */
|
||||
int id;
|
||||
/** counter */
|
||||
unsigned counter;
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOARCHIVEFITNESSSAVINGUPDATER_H_ */
|
||||
|
|
@ -1,56 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoArchiveUpdater.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2006
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOARCHIVEUPDATER_H_
|
||||
#define MOEOARCHIVEUPDATER_H_
|
||||
|
||||
#include <eoPop.h>
|
||||
#include <utils/eoUpdater.h>
|
||||
#include <moeoArchive.h>
|
||||
|
||||
/**
|
||||
* This class allows to update the archive at each generation with newly found non-dominated solutions
|
||||
*/
|
||||
template < class EOT > class moeoArchiveUpdater:public eoUpdater
|
||||
{
|
||||
public:
|
||||
|
||||
/**
|
||||
* Ctor
|
||||
* @param _arch an archive of non-dominated solutions
|
||||
* @param _pop the main population
|
||||
*/
|
||||
moeoArchiveUpdater (moeoArchive < EOT > &_arch,
|
||||
const eoPop < EOT > &_pop):arch (_arch), pop (_pop)
|
||||
{
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Updates the archive with newly found non-dominated solutions contained in the main population
|
||||
*/
|
||||
void operator () ()
|
||||
{
|
||||
arch.update (pop);
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
|
||||
/** the archive of non-dominated solutions */
|
||||
moeoArchive < EOT > &arch;
|
||||
/** the main population */
|
||||
const eoPop < EOT > &pop;
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOARCHIVEUPDATER_H_ */
|
||||
|
|
@ -1,71 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoCombinedLS.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOCOMBINEDLS_H_
|
||||
#define MOEOCOMBINEDLS_H_
|
||||
|
||||
#include <moeoArchive.h>
|
||||
#include <moeoEvalFunc.h>
|
||||
#include <moeoLS.h>
|
||||
|
||||
/**
|
||||
* This class allows to embed a set of local searches that are sequentially applied,
|
||||
* and so working and updating the same archive of non-dominated solutions
|
||||
*/
|
||||
template < class MOEOT > class moeoCombinedLS:public moeoLS < MOEOT >
|
||||
{
|
||||
public:
|
||||
|
||||
/**
|
||||
* Ctor
|
||||
* @param _eval the full evaluator of a solution
|
||||
* @param _first_ls the first multi-objective local search to add
|
||||
*/
|
||||
moeoCombinedLS (moeoEvalFunc < MOEOT > &_eval, moeoLS < MOEOT > &_first_ls):eval
|
||||
(_eval)
|
||||
{
|
||||
combinedLS.push_back (&_first_ls);
|
||||
}
|
||||
|
||||
/**
|
||||
* Adds a new local search to combine
|
||||
* @param _ls the multi-objective local search to add
|
||||
*/
|
||||
void add (moeoLS < MOEOT > &_ls)
|
||||
{
|
||||
combinedMOLS.push_back (&_ls);
|
||||
}
|
||||
|
||||
/**
|
||||
* Gives a new solution in order to explore the neigborhood.
|
||||
* The new non-dominated solutions are added to the archive
|
||||
* @param _eo the solution
|
||||
* @param _arch the archive of non-dominated solutions
|
||||
*/
|
||||
void operator () (const MOEOT & _eo, moeoArchive < MOEOT > &_arch)
|
||||
{
|
||||
eval (const_cast < MOEOT & >(_eo));
|
||||
for (unsigned i = 0; i < combinedLS.size (); i++)
|
||||
combinedLS[i]->operator ()(_eo, _arch);
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
|
||||
/** the full evaluator of a solution */
|
||||
moeoEvalFunc < MOEOT > &eval;
|
||||
/** the vector that contains the combined LS */
|
||||
std::vector < moeoLS < MOEOT > *>combinedLS;
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOCOMBINEDLS_H_ */
|
||||
|
|
@ -1,185 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoComparator.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOCOMPARATOR_H_
|
||||
#define MOEOCOMPARATOR_H_
|
||||
|
||||
#include <eoFunctor.h>
|
||||
#include <eoPop.h>
|
||||
|
||||
/**
|
||||
* Functor allowing to compare two solutions
|
||||
*/
|
||||
template < class MOEOT > class moeoComparator:public eoBF < const MOEOT &, const MOEOT &,
|
||||
const bool >
|
||||
{
|
||||
public:
|
||||
// virtual const bool operator () (const MOEOT & _moeo1, const MOEOT & _moeo){}
|
||||
};
|
||||
|
||||
|
||||
/**
|
||||
* Functor allowing to compare two solutions according to their first objective value, then their second, and so on
|
||||
*/
|
||||
template < class MOEOT > class moeoObjectiveComparator:public moeoComparator <
|
||||
MOEOT >
|
||||
{
|
||||
public:
|
||||
/**
|
||||
* Returns true if _moeo1 is smaller than _moeo2 on the first objective, then on the second, and so on
|
||||
* @param _moeo1 the first solution
|
||||
* @param _moeo2 the second solution
|
||||
*/
|
||||
const bool operator () (const MOEOT & _moeo1, const MOEOT & _moeo2)
|
||||
{
|
||||
return _moeo1.objectiveVector () < _moeo2.objectiveVector ();
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
/**
|
||||
* Functor allowing to compare two solutions according to their fitness values
|
||||
*/
|
||||
//template < class MOEOT >
|
||||
//class moeoFitnessComparator : public moeoComparator < MOEOT >
|
||||
//{
|
||||
//public:
|
||||
// /**
|
||||
// * Returns true if the fitness value of _moeo1 is smaller than the fitness value of _moeo2
|
||||
// * @param _moeo1 the first solution
|
||||
// * @param _moeo2 the second solution
|
||||
// */
|
||||
// const bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
|
||||
// {
|
||||
// return _moeo1.fitness() < _moeo2.fitness();
|
||||
// }
|
||||
//};
|
||||
//
|
||||
//
|
||||
///**
|
||||
// * Functor allowing to compare two solutions according to their diversity values
|
||||
// */
|
||||
//template < class MOEOT >
|
||||
//class moeoDiversityComparator : public moeoComparator < MOEOT >
|
||||
//{
|
||||
//public:
|
||||
// /**
|
||||
// * Returns true if the diversity value of _moeo1 is smaller than the diversity value of _moeo2
|
||||
// * @param _moeo1 the first solution
|
||||
// * @param _moeo2 the second solution
|
||||
// */
|
||||
// const bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
|
||||
// {
|
||||
// return _moeo1.diversity() < _moeo2.diversity();
|
||||
// }
|
||||
//};
|
||||
|
||||
|
||||
/**
|
||||
* Functor allowing to compare two solutions according to their fitness values, then according to their diversity values
|
||||
*/
|
||||
template < class MOEOT > class moeoFitnessThenDiversityComparator:public moeoComparator <
|
||||
MOEOT >
|
||||
{
|
||||
public:
|
||||
/**
|
||||
* Returns true if _moeo1 is smaller than _moeo2 according to their fitness values, then according to their diversity values
|
||||
* @param _moeo1 the first solution
|
||||
* @param _moeo2 the second solution
|
||||
*/
|
||||
const bool operator () (const MOEOT & _moeo1, const MOEOT & _moeo2)
|
||||
{
|
||||
if (_moeo1.fitness () == _moeo2.fitness ())
|
||||
{
|
||||
return _moeo1.diversity () < _moeo2.diversity ();
|
||||
}
|
||||
else
|
||||
{
|
||||
return _moeo1.fitness () < _moeo2.fitness ();
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
/**
|
||||
* Functor allowing to compare two solutions according to their diversity values, then according to their fitness values
|
||||
*/
|
||||
template < class MOEOT > class moeoDiversityThenFitnessComparator:public moeoComparator <
|
||||
MOEOT >
|
||||
{
|
||||
public:
|
||||
/**
|
||||
* Returns true if _moeo1 is smaller than _moeo2 according to their diversity values, then according to their fitness values
|
||||
* @param _moeo1 the first solution
|
||||
* @param _moeo2 the second solution
|
||||
*/
|
||||
const bool operator () (const MOEOT & _moeo1, const MOEOT & _moeo2)
|
||||
{
|
||||
if (_moeo1.diversity () == _moeo2.diversity ())
|
||||
{
|
||||
return _moeo1.fitness () < _moeo2.fitness ();
|
||||
}
|
||||
else
|
||||
{
|
||||
return _moeo1.diversity () < _moeo2.diversity ();
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
/**
|
||||
* Functor allowing to compare two solutions according to Pareto dominance relation => USEFULL ???
|
||||
*
|
||||
template < class MOEOT >
|
||||
class moeoParetoDominanceComparator : public moeoComparator < MOEOT >
|
||||
{
|
||||
public:
|
||||
/**
|
||||
* Returns true if _moeo1 is dominated by _moeo2 according to Pareto dominance relation
|
||||
* @param _moeo1 the first solution
|
||||
* @param _moeo2 the second solution
|
||||
*
|
||||
const bool operator()(const MOEOT & _moeo1, const MOEOT & _moeo2)
|
||||
{
|
||||
bool result = false;
|
||||
typedef typename MOEOT::ObjectiveVector::Traits ObjectiveVectorTraits;
|
||||
for (unsigned i=0; i<ObjectiveVectorTraits::nObjectives(); i++)
|
||||
{
|
||||
// first, we have to check if the 2 objective values are not equal on the ith objective
|
||||
if ( fabs(_moeo1.objectiveVector()[i] - _moeo2.objectiveVector()[i]) > ObjectiveVectorTraits::tolerance() )
|
||||
{
|
||||
// if the ith objective have to be minimized...
|
||||
if (ObjectiveVectorTraits::minimizing(i))
|
||||
{
|
||||
if (_moeo1.objectiveVector()[i] < _moeo2.objectiveVector()[i])
|
||||
{
|
||||
return false; // _moeo2 cannot dominate _moeo1
|
||||
}
|
||||
result = true;
|
||||
}
|
||||
// if the ith objective have to be maximized...
|
||||
else if (ObjectiveVectorTraits::maximizing(i))
|
||||
{
|
||||
if (_moeo1.objectiveVector()[i] > _moeo2.objectiveVector()[i])
|
||||
{
|
||||
return false; // _moeo2 cannot dominate _moeo1
|
||||
}
|
||||
result = true;
|
||||
}
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
};
|
||||
*/
|
||||
|
||||
#endif /*MOEOCOMPARATOR_H_ */
|
||||
|
|
@ -1,157 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoDetTournamentSelect.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEODETTOURNAMENTSELECT_H_
|
||||
#define MOEODETTOURNAMENTSELECT_H_
|
||||
|
||||
#include <moeoSelectOne.h>
|
||||
#include <moeoSelectors.h>
|
||||
|
||||
/**
|
||||
* moeoDetTournamentSelect: a selection method that selects ONE individual by
|
||||
* deterministic tournament
|
||||
*/
|
||||
template < class MOEOT >
|
||||
class moeoDetTournamentSelect:public moeoSelectOne <MOEOT>
|
||||
{
|
||||
public:
|
||||
/**
|
||||
* Full Ctor
|
||||
* @param _evalFitness the population fitness assignment
|
||||
* @param _evalDiversity the population diversity assignment
|
||||
* @param _comparator the comparator to compare the individuals$
|
||||
* @param _tSize the number of individuals in the tournament (default: 2)
|
||||
*/
|
||||
moeoDetTournamentSelect (moeoFitnessAssignment < MOEOT > &_evalFitness, moeoDiversityAssignment < MOEOT > &_evalDiversity, moeoComparator < MOEOT > &_comparator, unsigned _tSize = 2):evalFitness (_evalFitness), evalDiversity (_evalDiversity),
|
||||
comparator (_comparator), tSize (_tSize)
|
||||
{
|
||||
// consistency check
|
||||
if (tSize < 2)
|
||||
{
|
||||
std::
|
||||
cout << "Warning, Tournament size should be >= 2\nAdjusted to 2\n";
|
||||
tSize = 2;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Ctor without comparator. A moeoFitnessThenDiversityComparator is used as default.
|
||||
* @param _evalFitness the population fitness assignment
|
||||
* @param _evalDiversity the population diversity assignme
|
||||
* @param _tSize the number of individuals in the tournament (default: 2)
|
||||
*/
|
||||
moeoDetTournamentSelect (moeoFitnessAssignment < MOEOT > &_evalFitness, moeoDiversityAssignment < MOEOT > &_evalDiversity, unsigned _tSize = 2)
|
||||
:evalFitness (_evalFitness),evalDiversity(_evalDiversity),tSize(_tSize)
|
||||
{
|
||||
// a moeoFitThenDivComparator is used as default
|
||||
moeoFitnessThenDiversityComparator < MOEOT > &fitThenDivComparator;
|
||||
comparator = fitThenDivComparator;
|
||||
|
||||
// consistency check
|
||||
if (tSize < 2)
|
||||
{
|
||||
std::
|
||||
cout << "Warning, Tournament size should be >= 2\nAdjusted to 2\n";
|
||||
tSize = 2;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Ctor without diversity assignment. A dummy diversity assignment is used.
|
||||
* @param _evalFitness the population fitness assignment
|
||||
* @param _comparator the comparator to compare the individuals
|
||||
* @param _tSize the number of individuals in the tournament (default: 2)
|
||||
*/
|
||||
moeoDetTournamentSelect (moeoFitnessAssignment < MOEOT > &_evalFitness, moeoComparator < MOEOT > &_comparator, unsigned _tSize = 2):evalFitness (_evalFitness), comparator (_comparator),
|
||||
tSize
|
||||
(_tSize)
|
||||
{
|
||||
// a dummy diversity is used as default
|
||||
moeoDummyDiversityAssignment < MOEOT > &dummyDiversityAssignment;
|
||||
evalDiversity = dummyDiversityAssignment;
|
||||
|
||||
// consistency check
|
||||
if (tSize < 2)
|
||||
{
|
||||
std::
|
||||
cout << "Warning, Tournament size should be >= 2\nAdjusted to 2\n";
|
||||
tSize = 2;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Ctor without diversity assignment nor comparator. A moeoDummyDiversityAssignment and a moeoFitnessThenDiversityComparator are used as default.
|
||||
* @param _evalFitness the population fitness assignment
|
||||
* @param _tSize the number of individuals in the tournament (default: 2)
|
||||
*/
|
||||
moeoDetTournamentSelect (moeoFitnessAssignment < MOEOT > &_evalFitness, unsigned _tSize = 2):evalFitness (_evalFitness),
|
||||
tSize
|
||||
(_tSize)
|
||||
{
|
||||
// a dummy diversity is used as default
|
||||
moeoDummyDiversityAssignment < MOEOT > &dummyDiversityAssignment;
|
||||
evalDiversity = dummyDiversityAssignment;
|
||||
|
||||
// a moeoFitThenDivComparator is used as default
|
||||
moeoFitnessThenDiversityComparator < MOEOT > &fitThenDivComparator;
|
||||
comparator = fitThenDivComparator;
|
||||
|
||||
// consistency check
|
||||
if (tSize < 2)
|
||||
{
|
||||
std::
|
||||
cout << "Warning, Tournament size should be >= 2\nAdjusted to 2\n";
|
||||
tSize = 2;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
/*
|
||||
* Evaluate the fitness and the diversity of each individual of the population.
|
||||
*/
|
||||
void setup (eoPop<MOEOT>& _pop)
|
||||
{
|
||||
// eval fitness
|
||||
evalFitness(_pop);
|
||||
|
||||
// eval diversity
|
||||
evalDiversity(_pop);
|
||||
}
|
||||
|
||||
/**
|
||||
* Apply the tournament to the given population
|
||||
*/
|
||||
const MOEOT & operator () (const eoPop < MOEOT > &_pop)
|
||||
{
|
||||
// use the selector
|
||||
return mo_deterministic_tournament(_pop,tSize,comparator);
|
||||
}
|
||||
|
||||
|
||||
protected:
|
||||
|
||||
moeoFitnessAssignment < MOEOT > &evalFitness;
|
||||
|
||||
moeoDiversityAssignment < MOEOT > &evalDiversity;
|
||||
|
||||
moeoComparator < MOEOT > &comparator;
|
||||
|
||||
unsigned tSize;
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEODETTOURNAMENTSELECT_H_ */
|
||||
|
|
@ -1,48 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoDiversityAssignment.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEODIVERSITYASSIGNMENT_H_
|
||||
#define MOEODIVERSITYASSIGNMENT_H_
|
||||
|
||||
#include <eoFunctor.h>
|
||||
#include <eoPop.h>
|
||||
|
||||
/**
|
||||
* Functor that sets the diversity values of a whole population
|
||||
*/
|
||||
template < class MOEOT > class moeoDiversityAssignment:public eoUF < eoPop < MOEOT > &,
|
||||
void >
|
||||
{
|
||||
};
|
||||
|
||||
|
||||
/**
|
||||
* moeoDummyDiversityAssignment is a moeoDiversityAssignment which gives 0 as the diversity for the whole population.
|
||||
*/
|
||||
template < class MOEOT > class moeoDummyDiversityAssignment:public moeoDiversityAssignment <
|
||||
MOEOT >
|
||||
{
|
||||
// main operator
|
||||
void operator () (eoPop < MOEOT > &_pop)
|
||||
{
|
||||
for (int idx = 0; idx < _pop.size (); idx++)
|
||||
{
|
||||
// set the diversity to 0
|
||||
_pop[idx].diversity (0);
|
||||
}
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
|
||||
|
||||
#endif /*MOEODIVERSITYASSIGNMENT_H_ */
|
||||
|
|
@ -1,26 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoEA.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOEA_H_
|
||||
#define MOEOEA_H_
|
||||
|
||||
#include <eoAlgo.h>
|
||||
|
||||
/**
|
||||
* Abstract class for multi-objective evolutionary algorithms
|
||||
*/
|
||||
template < class MOEOT > class moeoEA:public eoAlgo < MOEOT >
|
||||
{
|
||||
};
|
||||
|
||||
|
||||
#endif /*MOEOEA_H_ */
|
||||
|
|
@ -1,114 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoElitistReplacement.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
|
||||
#ifndef MOEOELITISTREPLACEMENT_H_
|
||||
#define MOEOELITISTREPLACEMENT_H_
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
#include <moeoReplacement.h>
|
||||
#include <moeoComparator.h>
|
||||
#include <moeoFitnessAssignment.h>
|
||||
#include <moeoDiversityAssignment.h>
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
|
||||
/**
|
||||
* Elitist replacement strategy for multi-objective optimization.
|
||||
*/
|
||||
template < class MOEOT > class moeoElitistReplacement:public moeoReplacement <
|
||||
MOEOT >
|
||||
{
|
||||
|
||||
public:
|
||||
|
||||
/** Full constructor */
|
||||
moeoElitistReplacement (moeoFitnessAssignment < MOEOT > &_evalFitness, moeoDiversityAssignment < MOEOT > &_evalDiversity, moeoComparator < MOEOT > _comparator):evalFitness (_evalFitness), evalDiversity (_evalDiversity),
|
||||
comparator
|
||||
(_comparator)
|
||||
{
|
||||
}
|
||||
|
||||
/** constructor without comparator */
|
||||
moeoElitistReplacement (moeoFitnessAssignment < MOEOT > &_evalFitness, moeoDiversityAssignment < MOEOT > &_evalDiversity)
|
||||
:evalFitness (_evalFitness), evalDiversity (_evalDiversity)
|
||||
|
||||
{
|
||||
// a moeoFitThenDivComparator is used as default
|
||||
moeoFitnessThenDiversityComparator < MOEOT > &fitThenDivComparator;
|
||||
comparator = fitThenDivComparator;
|
||||
}
|
||||
|
||||
|
||||
/** Constructor without moeoDiversityAssignement */
|
||||
moeoElitistReplacement (moeoFitnessAssignment < MOEOT > &_evalFitness, moeoComparator < MOEOT > _comparator):evalFitness (_evalFitness),
|
||||
comparator
|
||||
(_comparator)
|
||||
{
|
||||
// a dummy diversity is used as default
|
||||
moeoDummyDiversityAssignment < MOEOT > &dummyDiversityAssignment;
|
||||
evalDiversity = dummyDiversityAssignment;
|
||||
}
|
||||
|
||||
|
||||
/** Constructor without moeoDiversityAssignement nor moeoComparator */
|
||||
moeoElitistReplacement (moeoFitnessAssignment < MOEOT > &_evalFitness):evalFitness
|
||||
(_evalFitness)
|
||||
{
|
||||
// a dummy diversity is used as default
|
||||
moeoDummyDiversityAssignment < MOEOT > &dummyDiversityAssignment;
|
||||
evalDiversity = dummyDiversityAssignment;
|
||||
|
||||
// a moeoFitThenDivComparator is used as default
|
||||
moeoFitnessThenDiversityComparator < MOEOT > &fitThenDivComparator;
|
||||
comparator = fitThenDivComparator;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Replace the first population by adding the individuals of the second one, sorting with a moeoComparator and resizing the whole population obtained.
|
||||
* @param _parents the population composed of the parents (the population you want to replace)
|
||||
* @param _offspring
|
||||
*/
|
||||
void operator () (eoPop < MOEOT > &_parents, eoPop < MOEOT > &_offspring)
|
||||
{
|
||||
unsigned sz = _parents.size ();
|
||||
|
||||
// merge offspring and parents into a global population ...
|
||||
_parents.reserve (_parents.size () + _offspring.size ());
|
||||
copy (_offspring.begin (), _offspring.end (), back_inserter (_parents));
|
||||
|
||||
// evaluate the fitness and the diversity of this global population
|
||||
evalFitness (_parents);
|
||||
evalDiversity (_parents);
|
||||
|
||||
// ... that we sort according to the comparator
|
||||
std::sort (_parents.begin (), _parents.end (), comparator);
|
||||
|
||||
// finally, resize this global population
|
||||
_parents.resize (sz);
|
||||
|
||||
_offspring.clear ();
|
||||
}
|
||||
|
||||
protected:
|
||||
|
||||
moeoFitnessAssignment < MOEOT > &evalFitness;
|
||||
|
||||
moeoDiversityAssignment < MOEOT > &evalDiversity;
|
||||
|
||||
moeoComparator < MOEOT > &comparator;
|
||||
};
|
||||
|
||||
|
||||
|
||||
#endif /*MOEOELITISTREPLACEMENT_H_ */
|
||||
|
|
@ -1,25 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoEvalFunc.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOEVALFUNC_H_
|
||||
#define MOEOEVALFUNC_H_
|
||||
|
||||
#include <eoEvalFunc.h>
|
||||
|
||||
/*
|
||||
* Functor that evaluates one MOEO by setting all its objective values.
|
||||
*/
|
||||
template < class MOEOT > class moeoEvalFunc:public eoEvalFunc < MOEOT >
|
||||
{
|
||||
};
|
||||
|
||||
#endif /*MOEOEVALFUNC_H_ */
|
||||
|
|
@ -1,183 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoFastNonDominatedSortingFitnessAssignment.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOFASTNONDOMINATEDSORTINGFITNESSASSIGNMENT_H_
|
||||
#define MOEOFASTNONDOMINATEDSORTINGFITNESSASSIGNMENT_H_
|
||||
|
||||
#include <eoPop.h>
|
||||
#include <moeoFitnessAssignment.h>
|
||||
#include <moeoComparator.h>
|
||||
#include <moeoObjectiveVectorComparator.h>
|
||||
|
||||
/**
|
||||
* Fitness assignment sheme based on Pareto-dominance count proposed in
|
||||
* N. Srinivas, K. Deb, "Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms", Evolutionary Computation vol. 2, no. 3, pp. 221-248 (1994)
|
||||
* and in
|
||||
* K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, "A Fast and Elitist Multi-Objective Genetic Algorithm: NSGA-II", IEEE Transactions on Evolutionary Computation, vol. 6, no. 2 (2002).
|
||||
* This strategy is, for instance, used in NSGA and NSGA-II.
|
||||
*/
|
||||
template < class MOEOT > class moeoFastNonDominatedSortingFitnessAssignment:public moeoParetoBasedFitnessAssignment <
|
||||
MOEOT
|
||||
>
|
||||
{
|
||||
public:
|
||||
|
||||
/**
|
||||
* Ctor
|
||||
*/
|
||||
moeoFastNonDominatedSortingFitnessAssignment ()
|
||||
{
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Computes fitness values for every solution contained in the population _pop
|
||||
* @param _pop the population
|
||||
*/
|
||||
void operator () (eoPop < MOEOT > &_pop)
|
||||
{
|
||||
// number of objectives for the problem under consideration
|
||||
unsigned nObjectives = MOEOT::ObjectiveVector::nObjectives ();
|
||||
if (nObjectives == 1)
|
||||
{
|
||||
// one objective
|
||||
oneObjective (_pop);
|
||||
}
|
||||
else if (nObjectives == 2)
|
||||
{
|
||||
// two objectives (the two objectives function is still to do)
|
||||
mObjectives (_pop);
|
||||
}
|
||||
else if (nObjectives > 2)
|
||||
{
|
||||
// more than two objectives
|
||||
mObjectives (_pop);
|
||||
}
|
||||
else
|
||||
{
|
||||
// problem with the number of objectives
|
||||
throw std::
|
||||
runtime_error
|
||||
("Problem with the number of objectives in moeoFastNonDominatedSortingFitnessAssignment");
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
|
||||
/** the objective vector type of the solutions */
|
||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
|
||||
/** Functor to compare two objective vectors according to Pareto dominance relation */
|
||||
moeoParetoObjectiveVectorComparator < ObjectiveVector > comparator;
|
||||
/** Functor to compare two solutions on the first objective, then on the second, and so on */
|
||||
moeoObjectiveComparator < MOEOT > objComparator;
|
||||
|
||||
|
||||
/**
|
||||
* Sets the fitness values for mono-objective problems
|
||||
* @param _pop the population
|
||||
*/
|
||||
void oneObjective (eoPop < MOEOT > &_pop)
|
||||
{
|
||||
std::sort (_pop.begin (), _pop.end (), objComparator);
|
||||
for (unsigned i = 0; i < _pop.size (); i++)
|
||||
{
|
||||
_pop[i].fitness (i + 1);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Sets the fitness values for bi-objective problems with a complexity of O(n log n), where n stands for the population size
|
||||
* @param _pop the population
|
||||
*/
|
||||
void twoObjectives (eoPop < MOEOT > &_pop)
|
||||
{
|
||||
//... TO DO !
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Sets the fitness values for problems with more than two objectives with a complexity of O(n² log n), where n stands for the population size
|
||||
* @param _pop the population
|
||||
*/
|
||||
void mObjectives (eoPop < MOEOT > &_pop)
|
||||
{
|
||||
// S[i] = indexes of the individuals dominated by _pop[i]
|
||||
std::vector < std::vector < unsigned >>S (_pop.size ());
|
||||
// n[i] = number of individuals that dominate the individual _pop[i]
|
||||
std::vector < unsigned >n (_pop.size (), 0);
|
||||
// fronts: F[i] = indexes of the individuals contained in the ith front
|
||||
std::vector < std::vector < unsigned >>F (_pop.size () + 1);
|
||||
// used to store the number of the first front
|
||||
F[1].reserve (_pop.size ());
|
||||
// flag to comparae solutions
|
||||
int comparatorFlag;
|
||||
for (unsigned p = 0; p < _pop.size (); p++)
|
||||
{
|
||||
for (unsigned q = 0; q < _pop.size (); q++)
|
||||
{
|
||||
// comparison of the 2 solutions according to Pareto dominance
|
||||
comparatorFlag =
|
||||
comparator (_pop[p].objectiveVector (),
|
||||
_pop[q].objectiveVector ());
|
||||
// if p dominates q
|
||||
if (comparatorFlag == 1)
|
||||
{
|
||||
// add q to the set of solutions dominated by p
|
||||
S[p].push_back (q);
|
||||
}
|
||||
// if q dominates p
|
||||
else if (comparatorFlag == -1)
|
||||
{
|
||||
// increment the domination counter of p
|
||||
n[p]++;
|
||||
}
|
||||
}
|
||||
// if no individual dominates p
|
||||
if (n[p] == 0)
|
||||
{
|
||||
// p belongs to the first front
|
||||
_pop[p].fitness (1);
|
||||
F[1].push_back (p);
|
||||
}
|
||||
}
|
||||
// front counter
|
||||
unsigned counter = 1;
|
||||
unsigned p, q;
|
||||
while (!F[counter].empty ())
|
||||
{
|
||||
// used to store the number of the next front
|
||||
F[counter + 1].reserve (_pop.size ());
|
||||
for (unsigned i = 0; i < F[counter].size (); i++)
|
||||
{
|
||||
p = F[counter][i];
|
||||
for (unsigned j = 0; j < S[p].size (); j++)
|
||||
{
|
||||
q = S[p][j];
|
||||
n[q]--;
|
||||
// if no individual dominates q anymore
|
||||
if (n[q] == 0)
|
||||
{
|
||||
// q belongs to the next front
|
||||
_pop[q].fitness (counter + 1);
|
||||
F[counter + 1].push_back (q);
|
||||
}
|
||||
}
|
||||
}
|
||||
counter++;
|
||||
}
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOFASTNONDOMINATEDSORTINGFITNESSASSIGNMENT_H_ */
|
||||
|
|
@ -1,62 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoFitnessAssignment.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOFITNESSASSIGNMENT_H_
|
||||
#define MOEOFITNESSASSIGNMENT_H_
|
||||
|
||||
#include <eoFunctor.h>
|
||||
#include <eoPop.h>
|
||||
|
||||
/**
|
||||
* Functor that sets the fitness values of a whole population
|
||||
*/
|
||||
template < class MOEOT > class moeoFitnessAssignment:public eoUF < eoPop < MOEOT > &,
|
||||
void >
|
||||
{
|
||||
};
|
||||
|
||||
|
||||
/**
|
||||
* moeoScalarFitnessAssignment is a moeoFitnessAssignment for scalar strategies
|
||||
*/
|
||||
template < class MOEOT > class moeoScalarFitnessAssignment:public moeoFitnessAssignment <
|
||||
MOEOT >
|
||||
{
|
||||
};
|
||||
|
||||
|
||||
/**
|
||||
* moeoCriterionBasedFitnessAssignment is a moeoFitnessAssignment for criterion-based strategies
|
||||
*/
|
||||
template < class MOEOT > class moeoCriterionBasedFitnessAssignment:public moeoFitnessAssignment <
|
||||
MOEOT >
|
||||
{
|
||||
};
|
||||
|
||||
|
||||
/**
|
||||
* moeoParetoBasedFitnessAssignment is a moeoFitnessAssignment for Pareto-based strategies
|
||||
*/
|
||||
template < class MOEOT > class moeoParetoBasedFitnessAssignment:public moeoFitnessAssignment <
|
||||
MOEOT >
|
||||
{
|
||||
void operator () (eoPop < MOEOT > &_pop)
|
||||
{
|
||||
// do nothing for the moment ...
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
#endif /*MOEOFITNESSASSIGNMENT_H_ */
|
||||
|
|
@ -1,28 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoGenerationalReplacement.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOGENERATIONALREPLACEMENT_H_
|
||||
#define MOEOGENERATIONALREPLACEMENT_H_
|
||||
|
||||
#include <eoGenerationalReplacement.h>
|
||||
#include <moeoGenerationalReplacement.h>
|
||||
|
||||
/**
|
||||
* Generational replacement: only the new individuals are preserved
|
||||
*/
|
||||
template < class MOEOT > class moeoGenerationalReplacement:public moeoReplacement < MOEOT >,
|
||||
public eoGenerationalReplacement <
|
||||
MOEOT >
|
||||
{
|
||||
};
|
||||
|
||||
#endif /*MOEOGENERATIONALREPLACEMENT_H_ */
|
||||
|
|
@ -1,76 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoHybridLS.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOHYBRIDLS_H_
|
||||
#define MOEOHYBRIDLS_H_
|
||||
|
||||
#include <eoContinue.h>
|
||||
#include <eoPop.h>
|
||||
#include <eoUpdater.h>
|
||||
#include <eoSelect.h>
|
||||
#include <moeoArchive.h>
|
||||
#include <moeoLS.h>
|
||||
|
||||
/**
|
||||
* This class allows to apply a multi-objective local search to a number of selected individuals contained in the archive
|
||||
* at every generation until a stopping criteria is verified.
|
||||
*/
|
||||
template < class MOEOT > class moeoHybridLS:public eoUpdater
|
||||
{
|
||||
public:
|
||||
|
||||
/**
|
||||
* Ctor
|
||||
* @param _term stopping criteria
|
||||
* @param _select selector
|
||||
* @param _ls a multi-objective local search
|
||||
* @param _arch the archive
|
||||
*/
|
||||
eoHybridLS (eoContinue < MOEOT > &_term, eoSelect < MOEOT > &_select, moeoLS < MOEOT > &_ls, moeoArchive < MOEOT > &_arch):term (_term), select (_select), ls (_ls),
|
||||
arch
|
||||
(_arch)
|
||||
{
|
||||
}
|
||||
|
||||
/**
|
||||
* Applies the multi-objective local search to selected individuals contained in the archive if the stopping criteria is not verified
|
||||
*/
|
||||
void operator () ()
|
||||
{
|
||||
if (!cont (arch))
|
||||
{
|
||||
// selection of solutions
|
||||
eoPop < MOEOT > selectedSolutions;
|
||||
select (arch, selectedSolutions);
|
||||
// apply the local search to every selected solution
|
||||
for (unsigned i = 0; i < selectedSolutions.size (); i++)
|
||||
{
|
||||
ls (selectedSolutions[i], arch);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
|
||||
/** stopping criteria*/
|
||||
eoContinue < MOEOT > &term;
|
||||
/** selector */
|
||||
eoSelect < MOEOT > &select;
|
||||
/** multi-objective local search */
|
||||
moeoLS < MOEOT > &ls;
|
||||
/** archive */
|
||||
moeoArchive < MOEOT > &arch;
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOHYBRIDLS_H_ */
|
||||
|
|
@ -1,28 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoLS.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOLS_H_
|
||||
#define MOEOLS_H_
|
||||
|
||||
#include <eoFunctor.h>
|
||||
#include <moeoArchive.h>
|
||||
|
||||
/**
|
||||
* Abstract class for local searches applied to multi-objective optimization.
|
||||
* Starting from only one solution, it produces a set of new non-dominated solutions.
|
||||
*/
|
||||
template < class MOEOT > class moeoLS:public eoBF < const MOEOT &, moeoArchive < MOEOT > &,
|
||||
void >
|
||||
{
|
||||
};
|
||||
|
||||
#endif /*MOEOLS_H_ */
|
||||
|
|
@ -1,274 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoObjectiveVector.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOOBJECTIVEVECTOR_H_
|
||||
#define MOEOOBJECTIVEVECTOR_H_
|
||||
|
||||
#include <iostream>
|
||||
#include <math.h>
|
||||
#include <vector>
|
||||
#include <moeoObjectiveVectorComparator.h>
|
||||
|
||||
/**
|
||||
* Abstract class allowing to represent a solution in the objective space (phenotypic representation).
|
||||
* The template argument ObjectiveVectorTraits defaults to moeoObjectiveVectorTraits,
|
||||
* but it can be replaced at will by any other class that implements the static functions defined therein.
|
||||
* Some static funtions to access to the traits characteristics are re-defined in order not to write a lot of typedef's.
|
||||
*/
|
||||
template < class ObjectiveVectorTraits > class moeoObjectiveVector
|
||||
{
|
||||
public:
|
||||
|
||||
/** The traits of objective vectors */
|
||||
typedef ObjectiveVectorTraits Traits;
|
||||
|
||||
|
||||
/**
|
||||
* Parameters setting (for the objective vector of any solution)
|
||||
* @param _nObjectives the number of objectives
|
||||
* @param _bObjectives the min/max vector (true = min / false = max)
|
||||
*/
|
||||
static void setup (unsigned _nObjectives,
|
||||
std::vector < bool > &_bObjectives)
|
||||
{
|
||||
ObjectiveVectorTraits::setup (_nObjectives, _bObjectives);
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns the number of objectives
|
||||
*/
|
||||
static unsigned nObjectives ()
|
||||
{
|
||||
return ObjectiveVectorTraits::nObjectives ();
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns true if the _ith objective have to be minimized
|
||||
* @param _i the index
|
||||
*/
|
||||
static bool minimizing (unsigned _i)
|
||||
{
|
||||
return ObjectiveVectorTraits::minimizing (_i);
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns true if the _ith objective have to be maximized
|
||||
* @param _i the index
|
||||
*/
|
||||
static bool maximizing (unsigned _i)
|
||||
{
|
||||
return ObjectiveVectorTraits::maximizing (_i);
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
|
||||
/**
|
||||
* This class allows to represent a solution in the objective space (phenotypic representation) by a std::vector of doubles,
|
||||
* i.e. that an objective value is represented using a double, and this for any objective.
|
||||
*/
|
||||
template < class ObjectiveVectorTraits > class moeoObjectiveVectorDouble:public moeoObjectiveVector < ObjectiveVectorTraits >,
|
||||
public std::vector <
|
||||
double >
|
||||
{
|
||||
public:
|
||||
|
||||
using
|
||||
std::vector < double >::size;
|
||||
using
|
||||
std::vector < double >::operator[];
|
||||
|
||||
/**
|
||||
* Ctor
|
||||
*/
|
||||
moeoObjectiveVectorDouble ():
|
||||
std::vector < double >(ObjectiveVectorTraits::nObjectives (), 0.0)
|
||||
{
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Ctor from a vector of doubles
|
||||
* @param _v the std::vector < double >
|
||||
*/
|
||||
moeoObjectiveVectorDouble (std::vector < double >&_v):
|
||||
std::vector < double >(_v)
|
||||
{
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns true if the current objective vector dominates _other according to the Pareto dominance relation
|
||||
* (but it's better to use a moeoObjectiveVectorComparator object to compare solutions)
|
||||
* @param _other the other moeoObjectiveVectorDouble object to compare with
|
||||
*/
|
||||
bool
|
||||
dominates (const moeoObjectiveVectorDouble < ObjectiveVectorTraits >
|
||||
&_other) const
|
||||
{
|
||||
moeoParetoObjectiveVectorComparator <
|
||||
moeoObjectiveVectorDouble <
|
||||
ObjectiveVectorTraits > >
|
||||
comparator;
|
||||
return
|
||||
comparator (*this, _other) == 1;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns true if the current objective vector is equal to _other (according to a tolerance value)
|
||||
* @param _other the other moeoObjectiveVectorDouble object to compare with
|
||||
*/
|
||||
bool
|
||||
operator== (const moeoObjectiveVectorDouble < ObjectiveVectorTraits >
|
||||
&_other) const
|
||||
{
|
||||
for (unsigned i = 0; i < size (); i++)
|
||||
{
|
||||
if (fabs (operator[](i) - _other[i]) >
|
||||
ObjectiveVectorTraits::tolerance ())
|
||||
{
|
||||
return false;
|
||||
}
|
||||
}
|
||||
return
|
||||
true;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns true if the current objective vector is different than _other (according to a tolerance value)
|
||||
* @param _other the other moeoObjectiveVectorDouble object to compare with
|
||||
*/
|
||||
bool
|
||||
operator!= (const moeoObjectiveVectorDouble < ObjectiveVectorTraits >
|
||||
&_other) const
|
||||
{
|
||||
return !
|
||||
operator== (_other);
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns true if the current objective vector is smaller than _other on the first objective, then on the second, and so on
|
||||
* (can be usefull for sorting/printing)
|
||||
* @param _other the other moeoObjectiveVectorDouble object to compare with
|
||||
*/
|
||||
bool
|
||||
operator< (const moeoObjectiveVectorDouble < ObjectiveVectorTraits >
|
||||
&_other) const
|
||||
{
|
||||
for (unsigned i = 0; i < size (); i++)
|
||||
{
|
||||
if (fabs (operator[](i) - _other[i]) >
|
||||
ObjectiveVectorTraits::tolerance ())
|
||||
{
|
||||
if (operator[](i) < _other[i])
|
||||
{
|
||||
return true;
|
||||
}
|
||||
else
|
||||
{
|
||||
return false;
|
||||
}
|
||||
}
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns true if the current objective vector is greater than _other on the first objective, then on the second, and so on
|
||||
* (can be usefull for sorting/printing)
|
||||
* @param _other the other moeoObjectiveVectorDouble object to compare with
|
||||
*/
|
||||
bool
|
||||
operator> (const moeoObjectiveVectorDouble < ObjectiveVectorTraits >
|
||||
&_other) const
|
||||
{
|
||||
return
|
||||
_other < *
|
||||
this;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns true if the current objective vector is smaller than or equal to _other on the first objective, then on the second, and so on
|
||||
* (can be usefull for sorting/printing)
|
||||
* @param _other the other moeoObjectiveVectorDouble object to compare with
|
||||
*/
|
||||
bool
|
||||
operator<= (const moeoObjectiveVectorDouble < ObjectiveVectorTraits >
|
||||
&_other) const
|
||||
{
|
||||
return
|
||||
operator== (_other) ||
|
||||
operator< (_other);
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns true if the current objective vector is greater than or equal to _other on the first objective, then on the second, and so on
|
||||
* (can be usefull for sorting/printing)
|
||||
* @param _other the other moeoObjectiveVectorDouble object to compare with
|
||||
*/
|
||||
bool
|
||||
operator>= (const moeoObjectiveVectorDouble < ObjectiveVectorTraits >
|
||||
&_other) const
|
||||
{
|
||||
return
|
||||
operator== (_other) ||
|
||||
operator> (_other);
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
|
||||
/**
|
||||
* Output for a moeoObjectiveVectorDouble object
|
||||
* @param _os output stream
|
||||
* @param _objectiveVector the objective vector to write
|
||||
*/
|
||||
template < class ObjectiveVectorTraits >
|
||||
std::ostream & operator<< (std::ostream & _os,
|
||||
const moeoObjectiveVectorDouble <
|
||||
ObjectiveVectorTraits > &_objectiveVector)
|
||||
{
|
||||
for (unsigned i = 0; i < _objectiveVector.size (); i++)
|
||||
{
|
||||
_os << _objectiveVector[i] << ' ';
|
||||
}
|
||||
return _os;
|
||||
}
|
||||
|
||||
/**
|
||||
* Input for a moeoObjectiveVectorDouble object
|
||||
* @param _is input stream
|
||||
* @param _objectiveVector the objective vector to read
|
||||
*/
|
||||
template < class ObjectiveVectorTraits >
|
||||
std::istream & operator>> (std::istream & _is,
|
||||
moeoObjectiveVectorDouble <
|
||||
ObjectiveVectorTraits > &_objectiveVector)
|
||||
{
|
||||
_objectiveVector = moeoObjectiveVectorDouble < ObjectiveVectorTraits > ();
|
||||
for (unsigned i = 0; i < _objectiveVector.size (); i++)
|
||||
{
|
||||
_is >> _objectiveVector[i];
|
||||
}
|
||||
return _is;
|
||||
}
|
||||
|
||||
#endif /*MOEOOBJECTIVEVECTOR_H_ */
|
||||
|
|
@ -1,93 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoObjectiveVectorComparator.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOOBJECTIVEVECTORCOMPARATOR_H_
|
||||
#define MOEOOBJECTIVEVECTORCOMPARATOR_H_
|
||||
|
||||
#include <math.h>
|
||||
#include <eoFunctor.h>
|
||||
|
||||
/**
|
||||
* Abstract class allowing to compare 2 objective vectors.
|
||||
* The template argument ObjectiveVector have to be a moeoObjectiveVector.
|
||||
*/
|
||||
template < class ObjectiveVector > class moeoObjectiveVectorComparator:public eoBF < const ObjectiveVector &, const ObjectiveVector &,
|
||||
int >
|
||||
{
|
||||
};
|
||||
|
||||
|
||||
/**
|
||||
* This functor class allows to compare 2 objective vectors according to Pareto dominance
|
||||
*/
|
||||
template < class ObjectiveVector > class moeoParetoObjectiveVectorComparator:public moeoObjectiveVectorComparator <
|
||||
ObjectiveVector
|
||||
>
|
||||
{
|
||||
public:
|
||||
|
||||
/**
|
||||
* Returns 1 if _objectiveVector1 dominates _objectiveVector2, -1 if _objectiveVector2 dominates _objectiveVector1 and 0 if no one dominates the other
|
||||
* @param _objectiveVector1 the first objective vector
|
||||
* @param _objectiveVector2 the second objective vector
|
||||
*/
|
||||
int operator () (const ObjectiveVector & _objectiveVector1,
|
||||
const ObjectiveVector & _objectiveVector2)
|
||||
{
|
||||
bool dom1 = false;
|
||||
bool dom2 = false;
|
||||
for (unsigned i = 0; i < ObjectiveVector::nObjectives (); i++)
|
||||
{
|
||||
// first, we have to check if the 2 objective values are not equal for the ith objective
|
||||
if (fabs (_objectiveVector1[i] - _objectiveVector2[i]) >
|
||||
ObjectiveVector::Traits::tolerance ())
|
||||
{
|
||||
// if the ith objective have to be minimized...
|
||||
if (ObjectiveVector::minimizing (i))
|
||||
{
|
||||
if (_objectiveVector1[i] > _objectiveVector2[i])
|
||||
{
|
||||
dom2 = true; //_objectiveVector2[i] is better than _objectiveVector1[i]
|
||||
}
|
||||
else // _objectiveVector1[i] < _objectiveVector2[i]
|
||||
{
|
||||
dom1 = true; //_objectiveVector1[i] is better than _objectiveVector2[i]
|
||||
}
|
||||
}
|
||||
// if the ith objective have to be maximized...
|
||||
else if (ObjectiveVector::maximizing (i))
|
||||
{
|
||||
if (_objectiveVector1[i] > _objectiveVector2[i])
|
||||
{
|
||||
dom1 = true; //_objectiveVector1[i] is better than _objectiveVector2[i]
|
||||
}
|
||||
else // _objectiveVector1[i] < _objectiveVector2[i]
|
||||
{
|
||||
dom2 = true; //_objectiveVector2[i] is better than _objectiveVector1[i]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
if (dom1 == dom2)
|
||||
{
|
||||
return 0; // no one dominates the other
|
||||
}
|
||||
if (dom1)
|
||||
{
|
||||
return 1; //_objectiveVector1 dominates _objectiveVector2
|
||||
}
|
||||
return -1; //_objectiveVector2 dominates _objectiveVector1
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOOBJECTIVEVECTORCOMPARATOR_H_ */
|
||||
|
|
@ -1,122 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoObjectiveVectorTraits.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOOBJECTIVEVECTORTRAITS_H_
|
||||
#define MOEOOBJECTIVEVECTORTRAITS_H_
|
||||
|
||||
#include <vector>
|
||||
#include <iostream>
|
||||
#include <stdexcept>
|
||||
|
||||
/**
|
||||
* A traits class for moeoObjectiveVector to specify the number of objectives and which ones have to be minimized or maximized
|
||||
*/
|
||||
class moeoObjectiveVectorTraits
|
||||
{
|
||||
public:
|
||||
|
||||
/** The tolerance value (used to compare solutions) */
|
||||
const static double tol = 1e-6;
|
||||
|
||||
/**
|
||||
* Parameters setting
|
||||
* @param _nObjectives the number of objectives
|
||||
* @param _bObjectives the min/max vector (true = min / false = max)
|
||||
*/
|
||||
static void setup (unsigned _nObjectives,
|
||||
std::vector < bool > &_bObjectives)
|
||||
{
|
||||
// in case the number of objectives was already set to a different value
|
||||
if (nObj && (nObj != _nObjectives))
|
||||
{
|
||||
std::cout << "WARNING\n";
|
||||
std::cout << "WARNING : the number of objectives are changing\n";
|
||||
std::
|
||||
cout << "WARNING : Make sure all existing objects are destroyed\n";
|
||||
std::cout << "WARNING\n";
|
||||
}
|
||||
// number of objectives
|
||||
nObj = _nObjectives;
|
||||
// min/max vector
|
||||
bObj = _bObjectives;
|
||||
// in case the number of objectives and the min/max vector size don't match
|
||||
if (nObj != bObj.size ())
|
||||
throw std::
|
||||
runtime_error
|
||||
("Number of objectives and min/max size don't match in moeoObjectiveVectorTraits::setup");
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns the number of objectives
|
||||
*/
|
||||
static unsigned nObjectives ()
|
||||
{
|
||||
// in case the number of objectives would not be assigned yet
|
||||
if (!nObj)
|
||||
throw std::
|
||||
runtime_error
|
||||
("Number of objectives not assigned in moeoObjectiveVectorTraits");
|
||||
return nObj;
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns true if the _ith objective have to be minimized
|
||||
* @param _i the index
|
||||
*/
|
||||
static bool minimizing (unsigned _i)
|
||||
{
|
||||
// in case the min/max vector would not be assigned yet
|
||||
if (!bObj[_i])
|
||||
throw std::
|
||||
runtime_error
|
||||
("We don't know if the ith objective have to be minimized or maximized in moeoObjectiveVectorTraits");
|
||||
// in case there would be a wrong index
|
||||
if (_i >= bObj.size ())
|
||||
throw std::runtime_error ("Wrong index in moeoObjectiveVectorTraits");
|
||||
return bObj[_i];
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns true if the _ith objective have to be maximized
|
||||
* @param _i the index
|
||||
*/
|
||||
static bool maximizing (unsigned _i)
|
||||
{
|
||||
return (!minimizing (_i));
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns the tolerance value (to compare solutions)
|
||||
*/
|
||||
static double tolerance ()
|
||||
{
|
||||
return tol;
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
|
||||
/** The number of objectives */
|
||||
static unsigned nObj;
|
||||
/** The min/max vector */
|
||||
static std::vector < bool > bObj;
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOOBJECTIVEVECTORTRAITS_H_ */
|
||||
|
||||
|
||||
// The static variables of the moeoObjectiveVectorTraits class need to be allocated
|
||||
// (maybe it would have been better to put this on a moeoObjectiveVectorTraits.cpp file)
|
||||
unsigned
|
||||
moeoObjectiveVectorTraits::nObj;
|
||||
std::vector < bool > moeoObjectiveVectorTraits::bObj;
|
||||
|
|
@ -1,50 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoPopSorter.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
|
||||
#ifndef MOEOPOPSORTER_H_
|
||||
#define MOEOPOPSORTER_H_
|
||||
|
||||
#include <moeoComparator.h>
|
||||
|
||||
/**
|
||||
* Sorter.
|
||||
*/
|
||||
template < class MOEOT > class moeoPopSorter
|
||||
{
|
||||
|
||||
public:
|
||||
|
||||
/** Ctor taking a moeoComparator */
|
||||
moeoPopSorter (moeoComparator _comparator,):comparator (_comparator)
|
||||
{
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Sort a population by applying the comparator
|
||||
*/
|
||||
const bool operator () (eoPop < MOEOT > &_pop)
|
||||
{
|
||||
// eval fitness and diversity : need "assignement" classes
|
||||
|
||||
// apply comparator
|
||||
std::sort (_pop.begin (), _pop.end (), comparator);
|
||||
}
|
||||
|
||||
protected:
|
||||
/** Comparator attribute */
|
||||
moeoComparator & comparator;
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOPOPSORTER_H_ */
|
||||
|
|
@ -1,50 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoRandomSelect.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEORANDOMSELECT_H_
|
||||
#define MOEORANDOMSELECT_H_
|
||||
|
||||
#include <moeoSelectOne.h>
|
||||
#include <eoRandomSelect.h>
|
||||
|
||||
/**
|
||||
* Selection strategy that selects only one element randomly from a whole population. Neither the fitness nor the diversity of the individuals is required here.
|
||||
*/
|
||||
template < class MOEOT > class moeoRandomSelect:public moeoSelectOne < MOEOT >, public eoRandomSelect <MOEOT >
|
||||
{
|
||||
public:
|
||||
|
||||
/**
|
||||
* CTor.
|
||||
*/
|
||||
moeoRandomSelect(){}
|
||||
|
||||
/*
|
||||
* Do nothing: we don't need to evaluate the fitness and the diversity; we only select one individual at random.
|
||||
*/
|
||||
void setup (eoPop < MOEOT > &_pop)
|
||||
{
|
||||
// do nothing
|
||||
}
|
||||
|
||||
/**
|
||||
* Return one individual at random. // Need to have a "const" pop ?
|
||||
*/
|
||||
const MOEOT & operator () (const eoPop < MOEOT > &_pop)
|
||||
{
|
||||
|
||||
eoRandomSelect < MOEOT >::operator ()(_pop);
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEORANDOMSELECT_H_ */
|
||||
|
|
@ -1,25 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoRandomSelectOne.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEORANDOMSELECTONE_H_
|
||||
#define MOEORANDOMSELECTONE_H_
|
||||
|
||||
#include <moeoSelectOne.h>
|
||||
#include <eoRandomSelect.h>
|
||||
|
||||
/**
|
||||
* Selection strategy that selects only one element randomly from a whole population.
|
||||
*/
|
||||
template < class MOEOT >
|
||||
class moeoRandomSelectOne : public moeoSelectOne < MOEOT >, public eoRandomSelect < MOEOT > {};
|
||||
|
||||
#endif /*MOEORANDOMSELECTONE_H_*/
|
||||
|
|
@ -1,25 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoReplacement.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOREPLACEMENT_H_
|
||||
#define MOEOREPLACEMENT_H_
|
||||
|
||||
#include <eoReplacement.h>
|
||||
|
||||
/**
|
||||
* Replacement strategy for multi-objective optimization
|
||||
*/
|
||||
template < class MOEOT > class moeoReplacement:public eoReplacement < MOEOT >
|
||||
{
|
||||
};
|
||||
|
||||
#endif /*MOEOREPLACEMENT_H_ */
|
||||
|
|
@ -1,119 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoRouletteSelect.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOROULETTESELECT_H_
|
||||
#define MOEOROULETTESELECT_H_
|
||||
|
||||
#include <moeoSelectOne.h>
|
||||
#include <moeoSelectors.h>
|
||||
|
||||
/**
|
||||
* moeoRouletteSelect: a selection method that selects ONE individual by
|
||||
* using roulette wheel process
|
||||
*/
|
||||
template < class MOEOT >
|
||||
class moeoRouletteSelect:public moeoSelectOne <MOEOT>
|
||||
{
|
||||
public:
|
||||
/**
|
||||
* Full Ctor
|
||||
* @param _evalFitness the population fitness assignment
|
||||
* @param _evalDiversity the population diversity assignment
|
||||
* @param _comparator the comparator to compare the individuals
|
||||
* @param _total
|
||||
*/
|
||||
moeoRouletteSelect (moeoFitnessAssignment < MOEOT > &_evalFitness, moeoDiversityAssignment < MOEOT > &_evalDiversity, moeoComparator < MOEOT > &_comparator, double _total=1 ):evalFitness (_evalFitness), evalDiversity (_evalDiversity),
|
||||
comparator (_comparator), total (_total) {}
|
||||
|
||||
/**
|
||||
* Ctor without comparator. A moeoFitnessThenDiversityComparator is used as default.
|
||||
* @param _evalFitness the population fitness assignment
|
||||
* @param _evalDiversity the population diversity assignment
|
||||
* @param _total
|
||||
*/
|
||||
moeoRouletteSelect (moeoFitnessAssignment < MOEOT > &_evalFitness, moeoDiversityAssignment < MOEOT > &_evalDiversity)
|
||||
:evalFitness (_evalFitness), evalDiversity (_evalDiversity)
|
||||
|
||||
{
|
||||
// a moeoFitThenDivComparator is used as default
|
||||
moeoFitnessThenDiversityComparator < MOEOT > &fitThenDivComparator;
|
||||
comparator = fitThenDivComparator;
|
||||
}
|
||||
|
||||
/**
|
||||
* Ctor without diversity assignment. A dummy diversity assignment is used.
|
||||
* @param _evalFitness the population fitness assignment
|
||||
* @param _comparator the comparator to compare the individuals
|
||||
* @param _total
|
||||
*/
|
||||
moeoRouletteSelect (moeoFitnessAssignment < MOEOT > &_evalFitness, moeoComparator < MOEOT > &_comparator, double _total=1):evalFitness (_evalFitness), comparator (_comparator),
|
||||
total
|
||||
(_total)
|
||||
{
|
||||
// a dummy diversity is used as default
|
||||
moeoDummyDiversityAssignment < MOEOT > &dummyDiversityAssignment;
|
||||
evalDiversity = dummyDiversityAssignment;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Ctor without diversity assignment nor comparator. A moeoDummyDiversityAssignment and a moeoFitnessThenDiversityComparator are used as default.
|
||||
* @param _evalFitness the population fitness assignment
|
||||
* @param _total
|
||||
*/
|
||||
moeoRouletteSelect (moeoFitnessAssignment < MOEOT > &_evalFitness, double _total=1):evalFitness (_evalFitness),
|
||||
total (_total)
|
||||
{
|
||||
// a dummy diversity is used as default
|
||||
moeoDummyDiversityAssignment < MOEOT > &dummyDiversityAssignment;
|
||||
evalDiversity = dummyDiversityAssignment;
|
||||
|
||||
// a moeoFitThenDivComparator is used as default
|
||||
moeoFitnessThenDiversityComparator < MOEOT > &fitThenDivComparator;
|
||||
comparator = fitThenDivComparator;
|
||||
}
|
||||
|
||||
/*
|
||||
* Evaluate the fitness and the diversity of each individual of the population.
|
||||
*/
|
||||
void setup (eoPop<MOEOT>& _pop)
|
||||
{
|
||||
// eval fitness
|
||||
evalFitness(_pop);
|
||||
|
||||
// eval diversity
|
||||
evalDiversity(_pop);
|
||||
}
|
||||
|
||||
/**
|
||||
* Apply the tournament to the given population
|
||||
*/
|
||||
const MOEOT & operator () (const eoPop < MOEOT > &_pop)
|
||||
{
|
||||
// use the selector
|
||||
return mo_roulette_wheel(_pop,total); //comparator ??
|
||||
}
|
||||
|
||||
|
||||
protected:
|
||||
|
||||
moeoFitnessAssignment < MOEOT > &evalFitness;
|
||||
|
||||
moeoDiversityAssignment < MOEOT > &evalDiversity;
|
||||
|
||||
moeoComparator < MOEOT > &comparator;
|
||||
|
||||
double total;
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOROULETTESELECT_H_ */
|
||||
|
|
@ -1,93 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoSelectFormPopAndArch.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOSELECTFROMPOPANDARCH_H_
|
||||
#define MOEOSELECTFROMPOPANDARCH_H_
|
||||
|
||||
#include <eoPop.h>
|
||||
#include <utils/eoRNG.h>
|
||||
#include <moeoArchive.h>
|
||||
#include <moeoSelectOne.h>
|
||||
#include <moeoRandomSelect.h>
|
||||
|
||||
/**
|
||||
* Elitist selection process that consists in choosing individuals in the archive as well as in the current population.
|
||||
*/
|
||||
template < class EOT > class moeoSelectFromPopAndArch:public moeoSelectOne <
|
||||
EOT >
|
||||
{
|
||||
public:
|
||||
|
||||
/**
|
||||
* Ctor
|
||||
* @param _popSelect the population's selection operator
|
||||
* @param _archSelect the archive's selection operator
|
||||
* @param _arch the archive
|
||||
* @param _ratioFromPop the ratio of selected individuals from the population
|
||||
*/
|
||||
moeoSelectFromPopAndArch (moeoSelectOne < EOT > &_popSelect, moeoSelectOne < EOT > &_archSelect, moeoArchive < EOT > &_arch, double _ratioFromPop = 0.5):popSelect (_popSelect), archSelect (_archSelect), arch (_arch),
|
||||
ratioFromPop
|
||||
(_ratioFromPop)
|
||||
{
|
||||
}
|
||||
|
||||
/**
|
||||
* Ctor - the archive's selection operator is a random selector
|
||||
* @param _popSelect the population's selection operator
|
||||
* @param _arch the archive
|
||||
* @param _ratioFromPop the ratio of selected individuals from the population
|
||||
*/
|
||||
moeoSelectFromPopAndArch (moeoSelectOne < EOT > &_popSelect, moeoArchive < EOT > &_arch, double _ratioFromPop = 0.5):popSelect (_popSelect), archSelect (randomSelect), arch (_arch),
|
||||
ratioFromPop
|
||||
(_ratioFromPop)
|
||||
{
|
||||
}
|
||||
|
||||
/**
|
||||
* The selection process
|
||||
*/
|
||||
virtual const EOT & operator () (const eoPop < EOT > &pop)
|
||||
{
|
||||
if (arch.size () > 0)
|
||||
if (rng.flip (ratioFromPop))
|
||||
return popSelect (pop);
|
||||
else
|
||||
return archSelect (arch);
|
||||
else
|
||||
return popSelect (pop);
|
||||
}
|
||||
|
||||
/**
|
||||
* Setups some population stats
|
||||
*/
|
||||
virtual void setup (const eoPop < EOT > &_pop)
|
||||
{
|
||||
popSelect.setup (_pop);
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
|
||||
/** The population's selection operator */
|
||||
moeoSelectOne < EOT > &popSelect;
|
||||
/** The archive's selection operator */
|
||||
moeoSelectOne < EOT > &archSelect;
|
||||
/** The archive */
|
||||
moeoArchive < EOT > &arch;
|
||||
/** The ratio of selected individuals from the population*/
|
||||
double ratioFromPop;
|
||||
/** A random selection operator */
|
||||
moeoRandomSelect < EOT > randomSelect;
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOSELECTFROMPOPANDARCH_H_ */
|
||||
|
|
@ -1,23 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoSelectOne.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOSELECTONE_H_
|
||||
#define MOEOSELECTONE_H_
|
||||
|
||||
#include <eoSelectOne.h>
|
||||
|
||||
/**
|
||||
* Selection strategy for multi-objective optimization that selects only one element from a whole population
|
||||
*/
|
||||
template < class MOEOT > class moeoSelectOne : public eoSelectOne < MOEOT > {};
|
||||
|
||||
#endif /*MOEOSELECTONE_H_ */
|
||||
|
|
@ -1,89 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoSelectOneFormPopAndArch.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOSELECTONEFROMPOPANDARCH_H_
|
||||
#define MOEOSELECTONEFROMPOPANDARCH_H_
|
||||
|
||||
#include <eoPop.h>
|
||||
#include <utils/eoRNG.h>
|
||||
#include <moeoArchive.h>
|
||||
#include <moeoSelectOne.h>
|
||||
#include <moeoRandomSelectOne.h>
|
||||
|
||||
/**
|
||||
* Elitist selection process that consists in choosing individuals in the archive as well as in the current population.
|
||||
*/
|
||||
template < class MOEOT >
|
||||
class moeoSelectOneFromPopAndArch : public moeoSelectOne < MOEOT >
|
||||
{
|
||||
public:
|
||||
|
||||
/**
|
||||
* Ctor
|
||||
* @param _popSelectOne the population's selection operator
|
||||
* @param _archSelectOne the archive's selection operator
|
||||
* @param _arch the archive
|
||||
* @param _ratioFromPop the ratio of selected individuals from the population
|
||||
*/
|
||||
moeoSelectOneFromPopAndArch (moeoSelectOne < MOEOT > & _popSelectOne, moeoSelectOne < MOEOT > _archSelectOne, moeoArchive < MOEOT > & _arch, double _ratioFromPop=0.5)
|
||||
: popSelectOne(_popSelectOne), archSelectOne(_archSelectOne), arch(_arch), ratioFromPop(_ratioFromPop)
|
||||
{}
|
||||
|
||||
/**
|
||||
* Defaulr ctor - the archive's selection operator is a random selector
|
||||
* @param _popSelectOne the population's selection operator
|
||||
* @param _arch the archive
|
||||
* @param _ratioFromPop the ratio of selected individuals from the population
|
||||
*/
|
||||
moeoSelectOneFromPopAndArch (moeoSelectOne < MOEOT > & _popSelectOne, moeoArchive < MOEOT > & _arch, double _ratioFromPop=0.5)
|
||||
: popSelectOne(_popSelectOne), archSelectOne(randomSelectOne), arch(_arch), ratioFromPop(_ratioFromPop)
|
||||
{}
|
||||
|
||||
/**
|
||||
* The selection process
|
||||
*/
|
||||
virtual const MOEOT & operator () (const eoPop < MOEOT > & pop)
|
||||
{
|
||||
if (arch.size() > 0)
|
||||
if (rng.flip(ratioFromPop))
|
||||
return popSelectOne(pop);
|
||||
else
|
||||
return archSelectOne(arch);
|
||||
else
|
||||
return popSelectOne(pop);
|
||||
}
|
||||
|
||||
/**
|
||||
* Setups some population stats
|
||||
*/
|
||||
virtual void setup (const eoPop < MOEOT > & _pop)
|
||||
{
|
||||
popSelectOne.setup(_pop);
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
|
||||
/** The population's selection operator */
|
||||
moeoSelectOne < MOEOT > & popSelectOne;
|
||||
/** The archive's selection operator */
|
||||
moeoSelectOne < MOEOT > & archSelectOne;
|
||||
/** The archive */
|
||||
moeoArchive < MOEOT > & arch;
|
||||
/** The ratio of selected individuals from the population*/
|
||||
double ratioFromPop;
|
||||
/** A random selection operator (used as default for archSelectOne) */
|
||||
moeoRandomSelectOne< MOEOT > randomSelectOne;
|
||||
|
||||
};
|
||||
|
||||
#endif /*MOEOSELECTONEFROMPOPANDARCH_H_*/
|
||||
|
|
@ -1,157 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoSelectors.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOSELECTORS_H_
|
||||
#define MOEOSELECTORS_H_
|
||||
|
||||
#include <moeoComparator.h>
|
||||
|
||||
|
||||
template <class It,class MOEOT>
|
||||
It mo_deterministic_tournament(It _begin, It _end, unsigned _t_size,moeoComparator<MOEOT>& _comparator ,eoRng& _gen = rng)
|
||||
{
|
||||
It best = _begin + _gen.random(_end - _begin);
|
||||
|
||||
for (unsigned i = 0; i < _t_size - 1; ++i)
|
||||
{
|
||||
It competitor = _begin + _gen.random(_end - _begin);
|
||||
|
||||
// compare the two individuals by using the comparator
|
||||
if(_comparator(*best,*competitor))
|
||||
|
||||
// best "better" than competitor
|
||||
best=competitor;
|
||||
}
|
||||
|
||||
return best;
|
||||
}
|
||||
|
||||
|
||||
template <class MOEOT>
|
||||
const MOEOT& mo_deterministic_tournament(const eoPop<MOEOT>& _pop, unsigned _t_size,moeoComparator<MOEOT>& _comparator, eoRng& _gen = rng)
|
||||
{
|
||||
return *mo_deterministic_tournament(_pop.begin(), _pop.end(),_t_size,_comparator, _gen);
|
||||
}
|
||||
|
||||
template <class MOEOT>
|
||||
MOEOT& mo_deterministic_tournament(eoPop<MOEOT>& _pop, unsigned _t_size,moeoComparator<MOEOT>& _comparator,eoRng& _gen = rng)
|
||||
{
|
||||
return *mo_deterministic_tournament(_pop.begin(), _pop.end(), _t_size,_comparator, _gen);
|
||||
}
|
||||
|
||||
|
||||
|
||||
template <class It,class MOEOT>
|
||||
It mo_stochastic_tournament(It _begin, It _end, double _t_rate,moeoComparator<MOEOT>& _comparator ,eoRng& _gen = rng)
|
||||
{
|
||||
It i1 = _begin + _gen.random(_end - _begin);
|
||||
It i2 = _begin + _gen.random(_end - _begin);
|
||||
|
||||
bool return_better = _gen.flip(_t_rate);
|
||||
|
||||
if (_comparator(*i1 , *i2))
|
||||
{
|
||||
if (return_better) return i2;
|
||||
// else
|
||||
|
||||
return i1;
|
||||
}
|
||||
else
|
||||
{
|
||||
if (return_better) return i1;
|
||||
// else
|
||||
}
|
||||
// else
|
||||
|
||||
return i2;
|
||||
}
|
||||
|
||||
template <class MOEOT>
|
||||
const MOEOT& mo_stochastic_tournament(const eoPop<MOEOT>& _pop, double _t_rate,moeoComparator<MOEOT>& _comparator, eoRng& _gen = rng)
|
||||
{
|
||||
return *mo_stochastic_tournament(_pop.begin(), _pop.end(), _t_rate,_comparator, _gen);
|
||||
}
|
||||
|
||||
template <class MOEOT>
|
||||
MOEOT& mo_stochastic_tournament(eoPop<MOEOT>& _pop, double _t_rate, eoRng& _gen = rng)
|
||||
{
|
||||
return *mo_stochastic_tournament(_pop.begin(), _pop.end(), _t_rate, _gen);
|
||||
}
|
||||
|
||||
|
||||
|
||||
template <class It>
|
||||
It mo_roulette_wheel(It _begin, It _end, double total, eoRng& _gen = rng)
|
||||
{
|
||||
|
||||
float roulette = _gen.uniform(total);
|
||||
|
||||
if (roulette == 0.0) // covers the case where total==0.0
|
||||
return _begin + _gen.random(_end - _begin); // uniform choice
|
||||
|
||||
It i = _begin;
|
||||
|
||||
while (roulette > 0.0)
|
||||
{
|
||||
roulette -= static_cast<double>(*(i++));
|
||||
}
|
||||
|
||||
return --i;
|
||||
}
|
||||
|
||||
template <class MOEOT>
|
||||
const MOEOT& mo_roulette_wheel(const eoPop<MOEOT>& _pop, double total, eoRng& _gen = rng)
|
||||
{
|
||||
float roulette = _gen.uniform(total);
|
||||
|
||||
if (roulette == 0.0) // covers the case where total==0.0
|
||||
return _pop[_gen.random(_pop.size())]; // uniform choice
|
||||
|
||||
typename eoPop<MOEOT>::const_iterator i = _pop.begin();
|
||||
|
||||
while (roulette > 0.0)
|
||||
{
|
||||
roulette -= static_cast<double>((i++)->fitness());
|
||||
}
|
||||
|
||||
return *--i;
|
||||
}
|
||||
|
||||
template <class MOEOT>
|
||||
MOEOT& mo_roulette_wheel(eoPop<MOEOT>& _pop, double total, eoRng& _gen = rng)
|
||||
{
|
||||
float roulette = _gen.uniform(total);
|
||||
|
||||
if (roulette == 0.0) // covers the case where total==0.0
|
||||
return _pop[_gen.random(_pop.size())]; // uniform choice
|
||||
|
||||
typename eoPop<MOEOT>::iterator i = _pop.begin();
|
||||
|
||||
while (roulette > 0.0)
|
||||
{
|
||||
// fitness ?
|
||||
roulette -= static_cast<double>((i++)->fitness());
|
||||
}
|
||||
|
||||
return *--i;
|
||||
}
|
||||
|
||||
#endif /*MOEOSELECTORS_H_*/
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
|
@ -1,166 +0,0 @@
|
|||
// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
|
||||
|
||||
//-----------------------------------------------------------------------------
|
||||
// moeoStochTournamentSelect.h
|
||||
// (c) OPAC Team (LIFL), Dolphin Project (INRIA), 2007
|
||||
/*
|
||||
This library...
|
||||
|
||||
Contact: paradiseo-help@lists.gforge.inria.fr, http://paradiseo.gforge.inria.fr
|
||||
*/
|
||||
//-----------------------------------------------------------------------------
|
||||
|
||||
#ifndef MOEOSTOCHTOURNAMENTSELECT_H_
|
||||
#define MOEOSTOCHTOURNAMENTSELECT_H_
|
||||
|
||||
#include <moeoSelectOne.h>
|
||||
#include <moeoSelectors.h>
|
||||
|
||||
/**
|
||||
* ???
|
||||
*/
|
||||
template < class MOEOT > class moeoStochTournamentSelect:public moeoSelectOne <MOEOT>
|
||||
{
|
||||
public:
|
||||
/**
|
||||
* Full Ctor
|
||||
* @param _evalFitness the population fitness assignment
|
||||
* @param _evalDiversity the population diversity assignment
|
||||
* @param _comparator the comparator to compare the individuals
|
||||
* @param _tRate the tournament rate
|
||||
*/
|
||||
moeoStochTournamentSelect (moeoFitnessAssignment < MOEOT > &_evalFitness, moeoDiversityAssignment < MOEOT > &_evalDiversity, moeoComparator < MOEOT > &_comparator, double _tRate = 1.0):evalFitness (_evalFitness), evalDiversity (_evalDiversity),
|
||||
comparator (_comparator),
|
||||
tRate (_tRate)
|
||||
{
|
||||
// consistency checks
|
||||
if (tRate < 0.5)
|
||||
{
|
||||
std::
|
||||
cerr <<
|
||||
"Warning, Tournament rate should be > 0.5\nAdjusted to 0.55\n";
|
||||
tRate = 0.55;
|
||||
}
|
||||
if (tRate > 1)
|
||||
{
|
||||
std::
|
||||
cerr << "Warning, Tournament rate should be < 1\nAdjusted to 1\n";
|
||||
tRate = 1;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Ctor without comparator. A moeoFitnessThenDiversityComparator is used as default.
|
||||
* @param _evalFitness the population fitness assignment
|
||||
* @param _evalDiversity the population diversity assignment
|
||||
* @param _tRate the tournament rate
|
||||
*/
|
||||
moeoStochTournamentSelect (moeoFitnessAssignment < MOEOT > &_evalFitness, moeoDiversityAssignment < MOEOT > &_evalDiversity)
|
||||
:evalFitness (_evalFitness), evalDiversity (_evalDiversity)
|
||||
|
||||
{
|
||||
// a moeoFitThenDivComparator is used as default
|
||||
moeoFitnessThenDiversityComparator < MOEOT > &fitThenDivComparator;
|
||||
comparator = fitThenDivComparator;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Ctor without diversity assignment. A dummy diversity assignment is used.
|
||||
* @param _evalFitness the population fitness assignment
|
||||
* @param _comparator the comparator to compare the individuals
|
||||
*/
|
||||
moeoStochTournamentSelect (moeoFitnessAssignment < MOEOT > &_evalFitness, moeoComparator < MOEOT > &_comparator, double _tRate = 1.0):evalFitness (_evalFitness), comparator (_comparator),
|
||||
tRate
|
||||
(_tRate)
|
||||
{
|
||||
// a dummy diversity is used as default
|
||||
moeoDummyDiversityAssignment < MOEOT > &dummyDiversityAssignment;
|
||||
evalDiversity = dummyDiversityAssignment;
|
||||
|
||||
// consistency checks
|
||||
if (tRate < 0.5)
|
||||
{
|
||||
std::
|
||||
cerr <<
|
||||
"Warning, Tournament rate should be > 0.5\nAdjusted to 0.55\n";
|
||||
tRate = 0.55;
|
||||
}
|
||||
if (tRate > 1)
|
||||
{
|
||||
std::
|
||||
cerr << "Warning, Tournament rate should be < 1\nAdjusted to 1\n";
|
||||
tRate = 1;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Ctor without diversity assignment nor comparator. A moeoDummyDiversityAssignment and a moeoFitnessThenDiversityComparator are used as default.
|
||||
* @param _evalFitness the population fitness assignment
|
||||
*/
|
||||
moeoStochTournamentSelect (moeoFitnessAssignment < MOEOT > &_evalFitness, double _tRate = 1.0):evalFitness (_evalFitness),
|
||||
tRate
|
||||
(_tRate)
|
||||
{
|
||||
// a dummy diversity is used as default
|
||||
moeoDummyDiversityAssignment < MOEOT > &dummyDiversityAssignment;
|
||||
evalDiversity = dummyDiversityAssignment;
|
||||
|
||||
// a moeoFitThenDivComparator is used as default
|
||||
moeoFitnessThenDiversityComparator < MOEOT > &fitThenDivComparator;
|
||||
comparator = fitThenDivComparator;
|
||||
|
||||
// consistency checks
|
||||
if (tRate < 0.5)
|
||||
{
|
||||
std::
|
||||
cerr <<
|
||||
"Warning, Tournament rate should be > 0.5\nAdjusted to 0.55\n";
|
||||
tRate = 0.55;
|
||||
}
|
||||
if (tRate > 1)
|
||||
{
|
||||
std::
|
||||
cerr << "Warning, Tournament rate should be < 1\nAdjusted to 1\n";
|
||||
tRate = 1;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/*
|
||||
* Evaluate the fitness and the diversity of each individual of the population.
|
||||
*/
|
||||
void setup (eoPop<MOEOT>& _pop)
|
||||
{
|
||||
// eval fitness
|
||||
evalFitness(_pop);
|
||||
|
||||
// eval diversity
|
||||
evalDiversity(_pop);
|
||||
}
|
||||
|
||||
/**
|
||||
* Apply the tournament to the given population
|
||||
*/
|
||||
const MOEOT & operator() (const eoPop < MOEOT > &_pop)
|
||||
{
|
||||
// use the selector
|
||||
return mo_stochastic_tournament(_pop,tRate,comparator);
|
||||
}
|
||||
|
||||
|
||||
|
||||
protected:
|
||||
|
||||
moeoFitnessAssignment < MOEOT > &evalFitness;
|
||||
|
||||
moeoDiversityAssignment < MOEOT > &evalDiversity;
|
||||
|
||||
moeoComparator < MOEOT > &comparator;
|
||||
|
||||
double tRate;
|
||||
};
|
||||
|
||||
|
||||
#endif /*MOEOSTOCHTOURNAMENTSELECT_H_ */
|
||||
Loading…
Add table
Add a link
Reference in a new issue