test for the new fitness assignment schemes added

git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1621 331e1502-861f-0410-8da2-ba01fb791d7f
This commit is contained in:
jhumeau 2009-11-25 10:53:46 +00:00
commit 9db3a10110
8 changed files with 856 additions and 14 deletions

View file

@ -69,8 +69,15 @@ SET (TEST_LIST
t-moeoFitDivBoundedArchive
t-moeoDetArchiveSelect
t-moeoASEEA
t-moeoEpsilonHyperboxArchive
#t-moeoEpsilonHyperboxArchive
t-moeoQuadTreeArchive
t-moeoAggregationFitnessAssignment
t-moeoConstraintFitnessAssignment
t-moeoChebyshevMetric
t-moeoChebyshevOrientedMetric
t-moeoASFAMetric
t-moeoASFAOrMetric
)
FOREACH (test ${TEST_LIST})

View file

@ -0,0 +1,131 @@
/*
* <t-moeoChebyshevMetric.cpp>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
* Francois Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// t-moeoAggregationFitnessAssignment.cpp
//-----------------------------------------------------------------------------
#include <eo>
#include <moeo>
#include <cassert>
#include <fitness/moeoAggregationFitnessAssignment.h>
//-----------------------------------------------------------------------------
class ObjectiveVectorTraits : public moeoObjectiveVectorTraits
{
public:
static bool minimizing (int i)
{
return true;
}
static bool maximizing (int i)
{
return false;
}
static unsigned int nObjectives ()
{
return 2;
}
};
typedef moeoRealObjectiveVector < ObjectiveVectorTraits > ObjectiveVector;
typedef MOEO < ObjectiveVector, double, double > Solution;
class DummyEval: public eoEvalFunc<Solution>{
void operator()(Solution &moeo){
}
} eval;
//-----------------------------------------------------------------------------
int main()
{
int res=EXIT_SUCCESS;
std::cout << "[moeoChebyshevMetric] => ";
// objective vectors
ObjectiveVector obj0, obj1, obj2, obj3, obj4, obj5, obj6;
obj0[0] = 3;
obj0[1] = 3;
obj1[0] = 2;
obj1[1] = 2;
obj2[0] = 1;
obj2[1] = 1;
obj4[0] = 0;
obj4[1] = 0;
std::vector<double> poids;
poids.resize(2);
poids[0]=2;
poids[1]=3;
ObjectiveVector obj_poids(poids);
// population
eoPop < Solution > pop;
pop.resize(3);
pop[0].objectiveVector(obj0);
pop[1].objectiveVector(obj1);
pop[2].objectiveVector(obj2);
Solution reference;
reference.objectiveVector(obj4);
unsigned int rho=2;
moeoObjectiveVectorNormalizer<Solution> normalizer(pop,10);
moeoAchievementScalarizingFunctionMetricFitnessAssignment<Solution> fitness(rho,obj4,obj_poids,normalizer);
moeoAchievementScalarizingFunctionMetricFitnessAssignment<Solution> fitness1(rho,obj4,obj_poids,normalizer,eval);
moeoAchievementScalarizingFunctionMetricFitnessAssignment<Solution> fitness2(rho,obj4,obj_poids);
moeoAchievementScalarizingFunctionMetricFitnessAssignment<Solution> fitness3(rho,obj4,obj_poids,eval);
fitness(pop);
fitness(reference);
assert(pop[0].fitness()<pop[1].fitness());
assert(pop[1].fitness()<pop[2].fitness());
std::cout << "Ok" << std::endl;
return EXIT_SUCCESS;
}
//-----------------------------------------------------------------------------

View file

@ -0,0 +1,131 @@
/*
* <t-moeoChebyshevMetric.cpp>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
* Francois Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// t-moeoAggregationFitnessAssignment.cpp
//-----------------------------------------------------------------------------
#include <eo>
#include <moeo>
#include <cassert>
#include <fitness/moeoAggregationFitnessAssignment.h>
//-----------------------------------------------------------------------------
class ObjectiveVectorTraits : public moeoObjectiveVectorTraits
{
public:
static bool minimizing (int i)
{
return true;
}
static bool maximizing (int i)
{
return false;
}
static unsigned int nObjectives ()
{
return 2;
}
};
typedef moeoRealObjectiveVector < ObjectiveVectorTraits > ObjectiveVector;
typedef MOEO < ObjectiveVector, double, double > Solution;
class DummyEval: public eoEvalFunc<Solution>{
void operator()(Solution &moeo){
}
} eval;
//-----------------------------------------------------------------------------
int main()
{
int res=EXIT_SUCCESS;
std::cout << "[moeoChebyshevMetric] => ";
// objective vectors
ObjectiveVector obj0, obj1, obj2, obj3, obj4, obj5, obj6;
obj0[0] = 3;
obj0[1] = 3;
obj1[0] = 2;
obj1[1] = 2;
obj2[0] = 1;
obj2[1] = 1;
obj4[0] = 0;
obj4[1] = 0;
std::vector<double> poids;
poids.resize(2);
poids[0]=2;
poids[1]=3;
ObjectiveVector obj_poids(poids);
// population
eoPop < Solution > pop;
pop.resize(3);
pop[0].objectiveVector(obj0);
pop[1].objectiveVector(obj1);
pop[2].objectiveVector(obj2);
Solution reference;
reference.objectiveVector(obj4);
unsigned int rho=2;
moeoObjectiveVectorNormalizer<Solution> normalizer(pop,10);
moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment<Solution> fitness(rho,obj4,obj_poids,normalizer,eval);
moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment<Solution> fitness1(rho,obj4,obj_poids);
moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment<Solution> fitness2(rho,obj4,obj_poids,normalizer);
moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment<Solution> fitness3(rho,obj4,obj_poids,eval);
fitness(pop);
fitness(reference);
assert(pop[0].fitness()<pop[1].fitness());
assert(pop[1].fitness()<pop[2].fitness());
std::cout << "Ok" << std::endl;
return EXIT_SUCCESS;
}
//-----------------------------------------------------------------------------

View file

@ -0,0 +1,116 @@
/*
* <t-moeoAggregationFitnessAssignment.cpp>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
* Francois Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// t-moeoAggregationFitnessAssignment.cpp
//-----------------------------------------------------------------------------
#include <eo>
#include <moeo>
#include <cassert>
#include <fitness/moeoAggregationFitnessAssignment.h>
//-----------------------------------------------------------------------------
class ObjectiveVectorTraits : public moeoObjectiveVectorTraits
{
public:
static bool minimizing (int i)
{
return false;
}
static bool maximizing (int i)
{
return true;
}
static unsigned int nObjectives ()
{
return 2;
}
};
typedef moeoRealObjectiveVector < ObjectiveVectorTraits > ObjectiveVector;
typedef MOEO < ObjectiveVector, double, double > Solution;
//-----------------------------------------------------------------------------
int main()
{
int res=EXIT_SUCCESS;
std::cout << "[moeoAggregationFitnessAssignment] => ";
// objective vectors
ObjectiveVector obj0, obj1, obj2, obj3;
obj0[0] = 2;
obj0[1] = 5;
obj1[0] = 3;
obj1[1] = 3;
obj2[0] = 4;
obj2[1] = 1;
obj3[0] = 5;
obj3[1] = 5;
std::vector<double> poids;
poids.resize(2);
poids[0]=2;
poids[1]=3;
// population
eoPop < Solution > pop;
pop.resize(4);
pop[0].objectiveVector(obj0);
pop[1].objectiveVector(obj1);
pop[2].objectiveVector(obj2);
pop[3].objectiveVector(obj3);
moeoAggregationFitnessAssignment < Solution > fitness(poids);
fitness(pop);
assert(pop[0].fitness() == 19.0);
assert(pop[1].fitness() == 15.0);
assert(pop[2].fitness() == 11.0);
assert(pop[3].fitness() == 25.0);
std::cout << "Ok" << std::endl;
return EXIT_SUCCESS;
}
//-----------------------------------------------------------------------------

View file

@ -0,0 +1,131 @@
/*
* <t-moeoChebyshevMetric.cpp>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
* Francois Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// t-moeoAggregationFitnessAssignment.cpp
//-----------------------------------------------------------------------------
#include <eo>
#include <moeo>
#include <cassert>
#include <fitness/moeoAggregationFitnessAssignment.h>
//-----------------------------------------------------------------------------
class ObjectiveVectorTraits : public moeoObjectiveVectorTraits
{
public:
static bool minimizing (int i)
{
return false;
}
static bool maximizing (int i)
{
return true;
}
static unsigned int nObjectives ()
{
return 2;
}
};
typedef moeoRealObjectiveVector < ObjectiveVectorTraits > ObjectiveVector;
typedef MOEO < ObjectiveVector, double, double > Solution;
class DummyEval: public eoEvalFunc<Solution>{
void operator()(Solution &moeo){
}
} eval;
//-----------------------------------------------------------------------------
int main()
{
int res=EXIT_SUCCESS;
std::cout << "[moeoChebyshevMetric] => ";
// objective vectors
ObjectiveVector obj0, obj1, obj2, obj3, obj4, obj5, obj6;
obj0[0] = 3;
obj0[1] = 3;
obj1[0] = 2;
obj1[1] = 2;
obj2[0] = 1;
obj2[1] = 1;
obj4[0] = 0;
obj4[1] = 0;
std::vector<double> poids;
poids.resize(2);
poids[0]=2;
poids[1]=3;
ObjectiveVector obj_poids(poids);
// population
eoPop < Solution > pop;
pop.resize(3);
pop[0].objectiveVector(obj0);
pop[1].objectiveVector(obj1);
pop[2].objectiveVector(obj2);
Solution reference;
reference.objectiveVector(obj4);
unsigned int rho=2;
moeoObjectiveVectorNormalizer<Solution> normalizer(pop,10);
moeoWeightedChebychevMetricFitnessAssignment<Solution> fitness(rho,obj4,obj_poids,normalizer);
moeoWeightedChebychevMetricFitnessAssignment<Solution> fitness2(rho,obj4,obj_poids);
moeoWeightedChebychevMetricFitnessAssignment<Solution> fitness3(rho,obj4,obj_poids,eval);
moeoWeightedChebychevMetricFitnessAssignment<Solution> fitness4(rho,obj4,obj_poids,normalizer,eval);
fitness(pop);
fitness(reference);
assert(pop[0].fitness()<pop[1].fitness());
assert(pop[1].fitness()<pop[2].fitness());
std::cout << "Ok" << std::endl;
return EXIT_SUCCESS;
}
//-----------------------------------------------------------------------------

View file

@ -0,0 +1,131 @@
/*
* <t-moeoChebyshevOrientedMetric.cpp>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
* Francois Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// t-moeoAggregationFitnessAssignment.cpp
//-----------------------------------------------------------------------------
#include <eo>
#include <moeo>
#include <cassert>
#include <fitness/moeoAggregationFitnessAssignment.h>
//-----------------------------------------------------------------------------
class ObjectiveVectorTraits : public moeoObjectiveVectorTraits
{
public:
static bool minimizing (int i)
{
return true;
}
static bool maximizing (int i)
{
return false;
}
static unsigned int nObjectives ()
{
return 2;
}
};
typedef moeoRealObjectiveVector < ObjectiveVectorTraits > ObjectiveVector;
typedef MOEO < ObjectiveVector, double, double > Solution;
class DummyEval: public eoEvalFunc<Solution>{
void operator()(Solution &moeo){
}
} eval;
//-----------------------------------------------------------------------------
int main()
{
int res=EXIT_SUCCESS;
std::cout << "[moeoChebyshevMetric] => ";
// objective vectors
ObjectiveVector obj0, obj1, obj2, obj3, obj4, obj5, obj6;
obj0[0] = 3;
obj0[1] = 3;
obj1[0] = 2;
obj1[1] = 2;
obj2[0] = 1;
obj2[1] = 1;
obj4[0] = 0;
obj4[1] = 0;
std::vector<double> poids;
poids.resize(2);
poids[0]=2;
poids[1]=3;
ObjectiveVector obj_poids(poids);
// population
eoPop < Solution > pop;
pop.resize(3);
pop[0].objectiveVector(obj0);
pop[1].objectiveVector(obj1);
pop[2].objectiveVector(obj2);
Solution reference;
reference.objectiveVector(obj4);
unsigned int rho=2;
moeoObjectiveVectorNormalizer<Solution> normalizer(pop,10);
moeoAugmentedWeightedChebychevMetricFitnessAssignment<Solution> fitness(rho,obj4,obj_poids,normalizer,eval);
moeoAugmentedWeightedChebychevMetricFitnessAssignment<Solution> fitness1(rho,obj4,obj_poids,normalizer);
moeoAugmentedWeightedChebychevMetricFitnessAssignment<Solution> fitness2(rho,obj4,obj_poids,eval);
moeoAugmentedWeightedChebychevMetricFitnessAssignment<Solution> fitness3(rho,obj4,obj_poids);
fitness(pop);
fitness(reference);
assert(pop[0].fitness()<pop[1].fitness());
assert(pop[1].fitness()<pop[2].fitness());
std::cout << "Ok" << std::endl;
return EXIT_SUCCESS;
}
//-----------------------------------------------------------------------------

View file

@ -0,0 +1,125 @@
/*
* <t-moeoConstraintFitnessAssignment.cpp>
* Copyright (C) DOLPHIN Project-Team, INRIA Lille-Nord Europe, 2006-2008
* (C) OPAC Team, LIFL, 2002-2008
*
* Arnaud Liefooghe
* Jeremie Humeau
* Francois Legillon
*
* This software is governed by the CeCILL license under French law and
* abiding by the rules of distribution of free software. You can use,
* modify and/ or redistribute the software under the terms of the CeCILL
* license as circulated by CEA, CNRS and INRIA at the following URL
* "http://www.cecill.info".
*
* As a counterpart to the access to the source code and rights to copy,
* modify and redistribute granted by the license, users are provided only
* with a limited warranty and the software's author, the holder of the
* economic rights, and the successive licensors have only limited liability.
*
* In this respect, the user's attention is drawn to the risks associated
* with loading, using, modifying and/or developing or reproducing the
* software by the user in light of its specific status of free software,
* that may mean that it is complicated to manipulate, and that also
* therefore means that it is reserved for developers and experienced
* professionals having in-depth computer knowledge. Users are therefore
* encouraged to load and test the software's suitability as regards their
* requirements in conditions enabling the security of their systems and/or
* data to be ensured and, more generally, to use and operate it in the
* same conditions as regards security.
* The fact that you are presently reading this means that you have had
* knowledge of the CeCILL license and that you accept its terms.
*
* ParadisEO WebSite : http://paradiseo.gforge.inria.fr
* Contact: paradiseo-help@lists.gforge.inria.fr
*
*/
//-----------------------------------------------------------------------------
// t-moeoAggregationFitnessAssignment.cpp
//-----------------------------------------------------------------------------
#include <eo>
#include <moeo>
#include <cassert>
#include <fitness/moeoAggregationFitnessAssignment.h>
//-----------------------------------------------------------------------------
class ObjectiveVectorTraits : public moeoObjectiveVectorTraits
{
public:
static bool minimizing (int i)
{
return true;
}
static bool maximizing (int i)
{
return false;
}
static unsigned int nObjectives ()
{
return 2;
}
};
typedef moeoRealObjectiveVector < ObjectiveVectorTraits > ObjectiveVector;
typedef MOEO < ObjectiveVector, double, double > Solution;
class DummyEval: public eoEvalFunc<Solution>{
void operator()(Solution &moeo){
}
} defaultEval;
//-----------------------------------------------------------------------------
int main()
{
int res=EXIT_SUCCESS;
std::cout << "[moeoAggregationFitnessAssignment] => ";
// objective vectors
ObjectiveVector obj0, obj1, obj2, obj3, obj4, obj5, obj6;
obj0[0] = 0;
obj0[1] = 2;
obj1[0] = 2;
obj1[1] = 0;
obj2[0] = 4;
obj2[1] = 2;
obj4[0] = 3;
obj4[1] = 0;
std::vector<double> poids;
poids.resize(2);
poids[0]=2;
poids[1]=1;
// population
eoPop < Solution > pop;
pop.resize(3);
pop[0].objectiveVector(obj0);
pop[1].objectiveVector(obj1);
pop[2].objectiveVector(obj2);
moeoObjectiveVectorNormalizer<Solution> normalizer;
moeoConstraintFitnessAssignment < Solution > fitness(poids,obj4,1,normalizer);
moeoConstraintFitnessAssignment < Solution > fitness2(poids,obj4,1,normalizer,defaultEval);
fitness(pop);
assert(pop[0].fitness()==-2);
assert(pop[1].fitness()==0);
assert(pop[2].fitness()==-4);
std::cout << "Ok" << std::endl;
return EXIT_SUCCESS;
}
//-----------------------------------------------------------------------------

View file

@ -78,20 +78,49 @@ int main()
bool empty= tree.isEmpty();
std::cout <<"empty? " << empty << std::endl;
ObjectiveVector obj1;
obj1[0]=2.0;
obj1[1]=2.0;
obj1[2]=2.0;
obj1[0]=54.0;
obj1[1]=65.0;
obj1[2]=67.0;
ObjectiveVector obj2;
obj2[0]=2.0;
obj2[1]=1.0;
obj2[2]=1.0;
obj2[0]=23.0;
obj2[1]=25.0;
obj2[2]=52.0;
ObjectiveVector obj3;
obj3[0]=1.0;
obj3[1]=1.0;
obj3[2]=1.0;
QuadTreeNode<ObjectiveVector> hop(obj1);
QuadTreeNode<ObjectiveVector> hop2(obj2);
QuadTreeNode<ObjectiveVector> hop3(obj3);
obj3[0]=87.0;
obj3[1]=5.0;
obj3[2]=33.0;
ObjectiveVector obj4;
obj4[0]=52.0;
obj4[1]=50.0;
obj4[2]=72.0;
ObjectiveVector obj5;
obj5[0]=80.0;
obj5[1]=41.0;
obj5[2]=8.0;
ObjectiveVector obj6;
obj6[0]=26.0;
obj6[1]=0.0;
obj6[2]=5.0;
ObjectiveVector obj7;
obj7[0]=56.0;
obj7[1]=22.0;
obj7[2]=0.0;
ObjectiveVector obj8;
obj8[0]=87.0;
obj8[1]=42.0;
obj8[2]=62.0;
ObjectiveVector obj9;
obj9[0]=90.0;
obj9[1]=69.0;
obj9[2]=83.0;
ObjectiveVector obj10;
obj10[0]=68.0;
obj10[1]=89.0;
obj10[2]=22.0;
// QuadTreeNode<ObjectiveVector> hop(obj1);
// QuadTreeNode<ObjectiveVector> hop2(obj2);
// QuadTreeNode<ObjectiveVector> hop3(obj3);
// QuadTreeNode<ObjectiveVector> hop4(obj4);
// empty = hop.getSubTree().empty();
// std::cout <<"empty? " << empty << std::endl;
// std::vector< QuadTreeNode<ObjectiveVector> > nodes;
@ -103,7 +132,48 @@ int main()
// std::cout << "size: " << nodes.size() << std::endl;
tree.insert(obj1);
tree.insert(obj2);
tree.insert(obj2);
tree.insert(obj3);
tree.insert(obj4);
tree.insert(obj5);
std::cout << "\n\n\n";
tree.insert(obj6);
// tree.insert(obj7);
// tree.insert(obj8);
// tree.insert(obj9);
// tree.insert(obj10);
// moeoUnboundedArchive<Solution> archive(false);
// eoPop<Solution> pop;
// pop.resize(1000);
// int tmp;
//
// for(int i= 0; i<1000 ; i++){
// ObjectiveVector obj;
// obj[0]=floor(rng.uniform()*100);
// obj[1]=floor(rng.uniform()*100);
// obj[2]=floor(rng.uniform()*100);
// std::cout << obj << std::endl;
// pop[i].objectiveVector(obj);
// tree.insert(obj);
// archive(pop[i]);
// tree.printTree();
// std::cout << std::endl;
// std::cout << std::endl;
//
// std::cout << "achive: " << archive << std::endl;
// std::cin >> tmp;
// }
// QuadTreeNode<ObjectiveVector> * a = tree.getRoot();
// QuadTreeNode<ObjectiveVector> * b = a->getSubTree()[1];
// QuadTreeNode<ObjectiveVector> * c = b->getSubTree()[2];
//
// tree.reinsert(a,c);
// std::cout << "achive: " << archive << std::endl;
tree.printTree();