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moeoEasyEA constructors corrected and tested

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git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1267 331e1502-861f-0410-8da2-ba01fb791d7f
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liefooga 2008-11-27 13:53:01 +00:00
commit 1309736161
4 changed files with 81 additions and 117 deletions
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177
trunk/paradiseo-moeo/src/algo/moeoEasyEA.h
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@ -1,7 +1,7 @@
/*
* <moeoEasyEA.h>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
*
@ -56,11 +56,11 @@
*/
template < class MOEOT >
class moeoEasyEA: public moeoEA < MOEOT >
{
public:
{
public:
/**
* Ctor taking a breed and merge.
* Ctor taking a breed.
* @param _continuator the stopping criteria
* @param _eval the evaluation functions
* @param _breed the breeder
@ -69,16 +69,13 @@ class moeoEasyEA: public moeoEA < MOEOT >
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoBreed < MOEOT > & _breed, moeoReplacement < MOEOT > & _replace,
moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false)
:
continuator(_continuator), eval (_eval), loopEval(_eval), popEval(loopEval), selectTransform(dummySelect, dummyTransform), breed(_breed), mergeReduce(dummyMerge, dummyReduce), replace(_replace),
fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoBreed < MOEOT > & _breed, moeoReplacement < MOEOT > & _replace, moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false) :
continuator(_continuator), eval (_eval), loopEval(_eval), popEval(loopEval), selectTransform(dummySelect, dummyTransform), breed(_breed), replace(_replace), fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Ctor taking a breed, a merge and a eoPopEval.
* Ctor taking a breed and a popEval.
* @param _continuator the stopping criteria
* @param _popEval the evaluation functions for the whole population
* @param _breed the breeder
@ -87,35 +84,13 @@ class moeoEasyEA: public moeoEA < MOEOT >
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoBreed < MOEOT > & _breed, moeoReplacement < MOEOT > & _replace,
moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false)
:
continuator(_continuator), eval (dummyEval), loopEval(dummyEval), popEval(_popEval), selectTransform(dummySelect, dummyTransform), breed(_breed), mergeReduce(dummyMerge, dummyReduce), replace(_replace),
fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoBreed < MOEOT > & _breed, moeoReplacement < MOEOT > & _replace, moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false) :
continuator(_continuator), eval(dummyEval), loopEval(dummyEval), popEval(_popEval), selectTransform(dummySelect, dummyTransform), breed(_breed), replace(_replace), fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Ctor taking a breed, a merge and a reduce.
* @param _continuator the stopping criteria
* @param _eval the evaluation functions
* @param _breed the breeder
* @param _merge the merge scheme
* @param _reduce the reduce scheme
* @param _fitnessEval the fitness evaluation scheme
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoBreed < MOEOT > & _breed, eoMerge < MOEOT > & _merge, eoReduce< MOEOT > & _reduce,
moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false)
:
continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), selectTransform(dummySelect, dummyTransform), breed(_breed), mergeReduce(_merge,_reduce), replace(mergeReduce),
fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Ctor taking a select, a transform and a replacement.
* Ctor taking a select and a transform.
* @param _continuator the stopping criteria
* @param _eval the evaluation functions
* @param _select the selection scheme
@ -125,31 +100,24 @@ class moeoEasyEA: public moeoEA < MOEOT >
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoSelect < MOEOT > & _select, eoTransform < MOEOT > & _transform, moeoReplacement < MOEOT > & _replace,
moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false)
:
continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), selectTransform(_select, _transform), breed(selectTransform), mergeReduce(dummyMerge, dummyReduce), replace(_replace),
fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoSelect < MOEOT > & _select, eoTransform < MOEOT > & _transform, moeoReplacement < MOEOT > & _replace, moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false) :
continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), selectTransform(_select, _transform), breed(selectTransform), replace(_replace), fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
/**
* Ctor taking a select, a transform, a merge and a reduce.
* Ctor taking a select, a transform.and a popEval
* @param _continuator the stopping criteria
* @param _eval the evaluation functions
* @param _select the selection scheme
* @param _transform the tranformation scheme
* @param _merge the merge scheme
* @param _reduce the reduce scheme
* @param _replace the replacement strategy
* @param _fitnessEval the fitness evaluation scheme
* @param _diversityEval the diversity evaluation scheme
* @param _evalFitAndDivBeforeSelection put this parameter to 'true' if you want to re-evalue the fitness and the diversity of the population before the selection process
*/
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoEvalFunc < MOEOT > & _eval, eoSelect < MOEOT > & _select, eoTransform < MOEOT > & _transform, eoMerge < MOEOT > & _merge, eoReduce< MOEOT > & _reduce,
moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false)
:
continuator(_continuator), eval(_eval), loopEval(_eval), popEval(loopEval), selectTransform(_select, _transform), breed(selectTransform), mergeReduce(_merge,_reduce), replace(mergeReduce),
fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
moeoEasyEA(eoContinue < MOEOT > & _continuator, eoPopEvalFunc < MOEOT > & _popEval, eoSelect < MOEOT > & _select, eoTransform < MOEOT > & _transform, moeoReplacement < MOEOT > & _replace, moeoFitnessAssignment < MOEOT > & _fitnessEval, moeoDiversityAssignment < MOEOT > & _diversityEval, bool _evalFitAndDivBeforeSelection = false) :
continuator(_continuator), eval(dummyEval), loopEval(dummyEval), popEval(_popEval), selectTransform(_select, _transform), breed(selectTransform), replace(_replace), fitnessEval(_fitnessEval), diversityEval(_diversityEval), evalFitAndDivBeforeSelection(_evalFitAndDivBeforeSelection)
{}
@ -159,67 +127,82 @@ class moeoEasyEA: public moeoEA < MOEOT >
*/
virtual void operator()(eoPop < MOEOT > & _pop)
{
eoPop < MOEOT > offspring, empty_pop;
popEval(empty_pop, _pop); // A first eval of pop.
bool firstTime = true;
do
eoPop < MOEOT > offspring, empty_pop;
popEval(empty_pop, _pop); // A first eval of pop.
bool firstTime = true;
do
{
try
try
{
unsigned int pSize = _pop.size();
offspring.clear(); // new offspring
// fitness and diversity assignment (if you want to or if it is the first generation)
//std::cout << "eval ou first time" << std::endl;
if (evalFitAndDivBeforeSelection || firstTime)
unsigned int pSize = _pop.size();
offspring.clear(); // new offspring
// fitness and diversity assignment (if you want to or if it is the first generation)
if (evalFitAndDivBeforeSelection || firstTime)
{
firstTime = false;
//std::cout << "fitness eval" << std::endl;
fitnessEval(_pop);
//std::cout << "diversity eval" << std::endl;
diversityEval(_pop);
firstTime = false;
//std::cout << "fitness eval" << std::endl;
fitnessEval(_pop);
//std::cout << "diversity eval" << std::endl;
diversityEval(_pop);
}
//std::cout << "breed" << std::endl;
breed(_pop, offspring);
//std::cout << "pop eval" << std::endl;
popEval(_pop, offspring); // eval of parents + offspring if necessary
//std::cout << "replace" << std::endl;
replace(_pop, offspring); // after replace, the new pop. is in _pop
if (pSize > _pop.size())
breed(_pop, offspring);
popEval(_pop, offspring); // eval of parents + offspring if necessary
replace(_pop, offspring); // after replace, the new pop. is in _pop
if (pSize > _pop.size())
{
throw std::runtime_error("Population shrinking!");
throw std::runtime_error("Population shrinking!");
}
else if (pSize < _pop.size())
else if (pSize < _pop.size())
{
throw std::runtime_error("Population growing!");
throw std::runtime_error("Population growing!");
}
}
catch (std::exception& e)
catch (std::exception& e)
{
std::string s = e.what();
s.append( " in moeoEasyEA");
throw std::runtime_error( s );
std::string s = e.what();
s.append( " in moeoEasyEA");
throw std::runtime_error( s );
}
}
while (continuator(_pop));
while (continuator(_pop));
}
protected:
protected:
/** the stopping criteria */
eoContinue < MOEOT > & continuator;
/** a dummy eval */
class eoDummyEval : public eoEvalFunc < MOEOT >
{
public:
void operator()(MOEOT &) {}
}
dummyEval;
/** the evaluation functions */
eoEvalFunc < MOEOT > & eval;
/** to evaluate the whole population */
eoPopLoopEval < MOEOT > loopEval;
/** to evaluate the whole population */
eoPopEvalFunc < MOEOT > & popEval;
/** dummy select */
class DummySelect : public eoSelect < MOEOT >
{
public :
void operator()(const eoPop<MOEOT>&, eoPop<MOEOT>&) {}
}
dummySelect;
/** breed: a select followed by a transform */
eoSelectTransform < MOEOT > selectTransform;
/** dummy transform */
class DummyTransform : public eoTransform < MOEOT >
{
public :
void operator()(eoPop<MOEOT>&) {}
}
dummyTransform;
/** the breeder */
eoBreed < MOEOT > & breed;
/** replacement: a merge followed by a reduce */
eoMergeReduce < MOEOT > mergeReduce;
/** the replacment strategy */
moeoReplacement < MOEOT > & replace;
/** the fitness assignment strategy */
@ -228,35 +211,7 @@ class moeoEasyEA: public moeoEA < MOEOT >
moeoDiversityAssignment < MOEOT > & diversityEval;
/** if this parameter is set to 'true', the fitness and the diversity of the whole population will be re-evaluated before the selection process */
bool evalFitAndDivBeforeSelection;
/** a dummy eval */
class eoDummyEval : public eoEvalFunc < MOEOT >
{
public: /** the dummy functor */
void operator()(MOEOT &)
{}
}
dummyEval;
/** a dummy select */
class eoDummySelect : public eoSelect < MOEOT >
{
public: /** the dummy functor */
void operator()(const eoPop < MOEOT > &, eoPop < MOEOT > &)
{}
}
dummySelect;
/** a dummy transform */
class eoDummyTransform : public eoTransform < MOEOT >
{
public: /** the dummy functor */
void operator()(eoPop < MOEOT > &)
{}
}
dummyTransform;
/** a dummy merge */
eoNoElitism < MOEOT > dummyMerge;
/** a dummy reduce */
eoTruncate < MOEOT > dummyReduce;
};
};
#endif /*MOEOEASYEA_H_*/

1
trunk/paradiseo-moeo/src/moeo
View file

@ -50,6 +50,7 @@
#include <algo/moeoLS.h>
#include <algo/moeoNSGA.h>
#include <algo/moeoNSGAII.h>
#include <algo/moeoSEEA.h>
#include <algo/moeoSPEA2.h>
#include <archive/moeoArchive.h>

1
trunk/paradiseo-moeo/test/CMakeLists.txt
View file

@ -50,6 +50,7 @@ SET (TEST_LIST
t-moeoIBEA
t-moeoNSGA
t-moeoNSGAII
t-moeoSEEA
t-moeoMax3Obj
t-moeoEasyEA
t-moeoDominanceCountFitnessAssignment

19
trunk/paradiseo-moeo/test/t-moeoEasyEA.cpp
View file

@ -1,7 +1,7 @@
/*
* <t-moeoEasyEA.cpp>
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
* (C) OPAC Team, LIFL, 2002-2007
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
*
@ -88,11 +88,14 @@ int main()
std::cout << "[moeoEasyEA]" << std::endl;
TestEval eval;
eoPopLoopEval <Solution> loopEval(eval);
eoPopEvalFunc <Solution> & popEval(loopEval);
eoQuadCloneOp < Solution > xover;
eoUniformMutation < Solution > mutation(0.05);
eoSequentialOp < Solution > op;
op.add(xover, 1.0);
op.add(mutation, 1.0);
eoSGATransform < Solution > transform(xover, 1.0, mutation, 1.0);
eoRealVectorBounds bounds(1, 1.0, 2.0);
eoRealInitBounded < Solution > init(bounds);
eoPop < Solution > pop(20, init);
@ -100,15 +103,19 @@ int main()
moeoFastNonDominatedSortingFitnessAssignment < Solution > fitnessAssignment;
moeoFrontByFrontCrowdingDiversityAssignment < Solution > diversityAssignment;
moeoFitnessThenDiversityComparator < Solution > comparator;
moeoDetTournamentSelect < Solution > select(comparator, 2);
moeoDetTournamentSelect < Solution > selectOne(comparator, 2);
moeoElitistReplacement < Solution > replace(fitnessAssignment, diversityAssignment, comparator);
eoGeneralBreeder < Solution > breed(select, op);
eoGeneralBreeder < Solution > breed(selectOne, op);
eoSelectMany < Solution > select(selectOne, 1.0);
// build EA
moeoEasyEA < Solution > algo (term, eval, breed, replace, fitnessAssignment, diversityAssignment);
moeoEasyEA < Solution > algo1 (term, eval, breed, replace, fitnessAssignment, diversityAssignment);
moeoEasyEA < Solution > algo2 (term, popEval, breed, replace, fitnessAssignment, diversityAssignment);
moeoEasyEA < Solution > algo3 (term, eval, select, transform, replace, fitnessAssignment, diversityAssignment);
moeoEasyEA < Solution > algo4 (term, popEval, select, transform, replace, fitnessAssignment, diversityAssignment);
// run the algo
algo(pop);
algo4(pop);
// final pop
std::cout << "Final population" << std::endl;