diff --git a/trunk/paradiseo-moeo/src/algo/moeoVFAS.h b/trunk/paradiseo-moeo/src/algo/moeoVFAS.h
index 118ed6c3c..c0093ae70 100644
--- a/trunk/paradiseo-moeo/src/algo/moeoVFAS.h
+++ b/trunk/paradiseo-moeo/src/algo/moeoVFAS.h
@@ -66,8 +66,6 @@ class moeoVFAS:public moeoPopAlgo < typename M::EOType >
 		  take a base vector of weight, and modify it to relaunch the algo with a diferent fitness
 		  use a selectOne to determine which moeot should be the base for the algo launch
 		  use a eoPop to keep result from each iteration
-
-
 		  @param _algorithm The solution based heuristic to use. It should at least use the fitness value at some point.
 		  @param _continue The stopping criterion.
 		  @param _select a selector to choose on which moeot we use the algorithm
@@ -77,7 +75,7 @@ class moeoVFAS:public moeoPopAlgo < typename M::EOType >
 		 */
 		moeoVFAS (moeoSolAlgo<MOEOT> & _algorithm, eoContinue <MOEOT> & _continue,moeoSelectOne<MOEOT> &_select,
 				std::vector<double> &_weights, eoEvalFunc< MOEOT > &_eval , moeoVariableWeightStrategy<MOEOT> &_wstrat ):
-			algo(_algorithm),cont(_continue), select(_select), weights(_weights),eval(_eval),wstrat(_wstrat), refPoint(defaultRefPoint),rstrat(defaultRstrat)
+			algo(_algorithm),cont(_continue), select(_select), weights(_weights),eval(_eval),refPoint(defaultRefPoint), wstrat(_wstrat), rstrat(defaultRstrat)
 	{}
 
 		/*!
@@ -98,7 +96,7 @@ class moeoVFAS:public moeoPopAlgo < typename M::EOType >
 		 */
 		moeoVFAS (moeoSolAlgo<MOEOT> & _algorithm, eoContinue <MOEOT> & _continue,moeoSelectOne<MOEOT> &_select,
 				std::vector<double> &_weights, ObjectiveVector &_refPoint, eoEvalFunc< MOEOT > &_eval , moeoVariableWeightStrategy<MOEOT> &_wstrat , moeoVariableRefPointStrategy<MOEOT>& _rstrat):
-			algo(_algorithm),cont(_continue), select(_select), weights(_weights),eval(_eval),wstrat(_wstrat), rstrat(_rstrat),refPoint(_refPoint)
+			algo(_algorithm),cont(_continue), select(_select), weights(_weights),eval(_eval),refPoint(_refPoint),wstrat(_wstrat), rstrat(_rstrat)
 	{}
 
 		/**
@@ -110,7 +108,7 @@ class moeoVFAS:public moeoPopAlgo < typename M::EOType >
 		  **/
 		moeoVFAS (moeoSolAlgo<MOEOT> & _algorithm, eoContinue <MOEOT> & _continue,moeoSelectOne<MOEOT> &_select,
 				eoEvalFunc< MOEOT > &_eval, moeoVariableWeightStrategy<MOEOT> &_wstrat):
-			algo(_algorithm),cont(_continue), select(_select), weights(defaultWeights), eval(_eval), wstrat(defaultWstrat), refPoint(defaultRefPoint), rstrat(defaultRstrat)
+			algo(_algorithm),cont(_continue), select(_select), weights(defaultWeights), eval(_eval), refPoint(defaultRefPoint), wstrat(defaultWstrat), rstrat(defaultRstrat)
 	{
 		weights.resize(MOEOT::ObjectiveVector::nObjectives(),1.0/MOEOT::ObjectiveVector::nObjectives());
 	}
@@ -127,7 +125,6 @@ class moeoVFAS:public moeoPopAlgo < typename M::EOType >
 			moeoObjectiveVectorNormalizer<MOEOT> norm(_pop);
 			moeoAggregationFitnessAssignment<MOEOT> fitness(weights,eval);
 			bool res=false;
-			int iteration=0;
 			fitness(_pop);
 			MOEOT moeot(select(_pop));
 			wstrat(weights,moeot);
@@ -151,9 +148,9 @@ class moeoVFAS:public moeoPopAlgo < typename M::EOType >
 		moeoSelectOne<MOEOT> &select;
 		std::vector<double> &weights;
 		std::vector<double> defaultWeights;
+		eoEvalFunc<MOEOT> &eval;
 		ObjectiveVector &refPoint;
 		ObjectiveVector defaultRefPoint;
-		eoEvalFunc<MOEOT> &eval;
 		moeoVariableWeightStrategy<MOEOT> &wstrat;
 		moeoVariableRefPointStrategy<MOEOT> &rstrat;
 		moeoDummyRefPointStrategy<MOEOT> defaultRstrat;
diff --git a/trunk/paradiseo-moeo/src/archive/moeoIndexedArchive.h b/trunk/paradiseo-moeo/src/archive/moeoIndexedArchive.h
index 44ea7a4e0..940941b3d 100755
--- a/trunk/paradiseo-moeo/src/archive/moeoIndexedArchive.h
+++ b/trunk/paradiseo-moeo/src/archive/moeoIndexedArchive.h
@@ -37,7 +37,6 @@ class moeoIndexedArchive : public moeoArchive < MOEOT >
 		 * @param _moeo the given individual
 		 */
 		bool operator()(const MOEOT & _moeo){
-			bool added=false;
 			std::pair<bool,std::vector<typename moeoArchiveIndex<MOEOT>::modif> > res=index(_moeo);
 			if (!(res.first)){
 				return false;
diff --git a/trunk/paradiseo-moeo/src/archive/moeoQuadTree.h b/trunk/paradiseo-moeo/src/archive/moeoQuadTree.h
index 358df79fd..b159a1c6d 100755
--- a/trunk/paradiseo-moeo/src/archive/moeoQuadTree.h
+++ b/trunk/paradiseo-moeo/src/archive/moeoQuadTree.h
@@ -238,7 +238,7 @@ public:
 	unsigned int k_succ(const ObjectiveVector& _objVec1, const ObjectiveVector& _objVec2){
 		unsigned int res=0;
 		if(!(*comparator)(_objVec2, _objVec1)){
-			for(int i=0; i < ObjectiveVector::nObjectives(); i++){
+			for(unsigned int i=0; i < ObjectiveVector::nObjectives(); i++){
 				if( (ObjectiveVector::minimizing(i) && ((_objVec1[i] - _objVec2[i]) >= (-1.0 * 1e-6 ))) ||
 					(ObjectiveVector::maximizing(i) && ((_objVec1[i] - _objVec2[i]) <= 1e-6 ))){
 					res+=pow(2,ObjectiveVector::nObjectives()-i-1);
diff --git a/trunk/paradiseo-moeo/src/fitness/moeoAchievementScalarizingFunctionMetricFitnessAssignment.h b/trunk/paradiseo-moeo/src/fitness/moeoAchievementScalarizingFunctionMetricFitnessAssignment.h
index 17382fa77..185d625a0 100644
--- a/trunk/paradiseo-moeo/src/fitness/moeoAchievementScalarizingFunctionMetricFitnessAssignment.h
+++ b/trunk/paradiseo-moeo/src/fitness/moeoAchievementScalarizingFunctionMetricFitnessAssignment.h
@@ -74,7 +74,7 @@ class moeoAchievementScalarizingFunctionMetricFitnessAssignment : public moeoSin
 		 * @param _weight the weights applied to the objectives
 		 * @param _eval a evalFunc to regenerate the objectiveVector if needed
 		 */
-		moeoAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, ObjectiveVector& _reference, const ObjectiveVector& _weight, eoEvalFunc<MOEOT>& _eval): eval(_eval), normalizer(defaultNormalizer), distance(_rho, _weight),	metric( distance, _reference, defaultNormalizer){}
+		moeoAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, ObjectiveVector& _reference, const ObjectiveVector& _weight, eoEvalFunc<MOEOT>& _eval): normalizer(defaultNormalizer), eval(_eval), distance(_rho, _weight),	metric( distance, _reference, defaultNormalizer){}
 
 		/**
 		 * ctor with an evaluing fonction, applied if give moeot is invalid, and a noramlizer, applied to ObjectiveVectors
@@ -92,7 +92,7 @@ class moeoAchievementScalarizingFunctionMetricFitnessAssignment : public moeoSin
 		 * @param _reference the reference point
 		 * @param _weight the weights applied to the objectives
 		 */
-		moeoAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight) : eval(defaultEval), normalizer(defaultNormalizer), distance(_rho, _weight), metric(distance, _reference, defaultNormalizer){}
+		moeoAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight) : normalizer(defaultNormalizer), eval(defaultEval), distance(_rho, _weight), metric(distance, _reference, defaultNormalizer){}
 
 		/** 
 		 * Sets the fitness values for a moeot
@@ -131,16 +131,18 @@ class moeoAchievementScalarizingFunctionMetricFitnessAssignment : public moeoSin
 
 	private:
 
-		moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
-		moeoAchievementScalarizingFunctionDistance<MOEOT> distance;
-		moeoDistanceMetric<MOEOT> metric;
-		eoEvalFunc<MOEOT> &eval;
-		moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
-
 		class DummyEval: public eoEvalFunc<MOEOT>{
 			void operator()(MOEOT &moeo){
 			}
 		} defaultEval;
+
+		moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
+		moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
+		eoEvalFunc<MOEOT> &eval;
+		moeoAchievementScalarizingFunctionDistance<MOEOT> distance;
+		moeoDistanceMetric<MOEOT> metric;
+
+
 };
 
 #endif /*moeoAugmentedScalarizingFunctionMetricFitnessASSIGNMENT_H_*/
diff --git a/trunk/paradiseo-moeo/src/fitness/moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment.h b/trunk/paradiseo-moeo/src/fitness/moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment.h
index 9775c7592..ff654aa7f 100644
--- a/trunk/paradiseo-moeo/src/fitness/moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment.h
+++ b/trunk/paradiseo-moeo/src/fitness/moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment.h
@@ -78,7 +78,7 @@ class moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment : publi
 		 * @param _reference the reference point
 		 * @param _weight the weights applied to the objectives
 		 */
-		moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector &_reference,const ObjectiveVector &_weight,eoEvalFunc<MOEOT> &_eval) : eval(_eval),normalizer(defaultNormalizer), distance(_rho,_weight), metric(distance,_reference,normalizer)
+		moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector &_reference,const ObjectiveVector &_weight,eoEvalFunc<MOEOT> &_eval) : normalizer(defaultNormalizer), eval(_eval), distance(_rho,_weight), metric(distance,_reference,normalizer)
 	{}
 		/**
 		 * ctor with an evaluing fonction, applied if give moeot is invalid, and a noramlizer, applied to ObjectiveVectors
@@ -96,7 +96,7 @@ class moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment : publi
 		 * @param _reference the reference point
 		 * @param _weight the weights applied to the objectives
 		  */
-		moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector &_reference,const ObjectiveVector &_weight) : eval(defaultEval),normalizer(defaultNormalizer), distance(_rho,_weight), metric(distance,_reference,normalizer)
+		moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector &_reference,const ObjectiveVector &_weight) : normalizer(defaultNormalizer), eval(defaultEval), distance(_rho,_weight), metric(distance,_reference,normalizer)
 	{}
 
 		 /** 
@@ -145,16 +145,17 @@ class moeoAugmentedAchievementScalarizingFunctionMetricFitnessAssignment : publi
 
 	private:
 
-		moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
-		moeoAugmentedAchievementScalarizingFunctionDistance<MOEOT> distance;
-		moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
-		moeoDistanceMetric<MOEOT> metric;
-		eoEvalFunc<MOEOT> &eval;
 		class DummyEval: public eoEvalFunc<MOEOT>{
 			void operator()(MOEOT &moeo){
 			}
 		} defaultEval;
 
+		moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
+		moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
+		eoEvalFunc<MOEOT> &eval;
+		moeoAugmentedAchievementScalarizingFunctionDistance<MOEOT> distance;
+		moeoDistanceMetric<MOEOT> metric;
+
 };
 
 #endif /*moeoAugmentedScalarizingFunctionMetricFitnessASSIGNMENT_H_*/
diff --git a/trunk/paradiseo-moeo/src/fitness/moeoAugmentedWeightedChebychevMetricFitnessAssignment.h b/trunk/paradiseo-moeo/src/fitness/moeoAugmentedWeightedChebychevMetricFitnessAssignment.h
index 37748a4b4..356ac2144 100644
--- a/trunk/paradiseo-moeo/src/fitness/moeoAugmentedWeightedChebychevMetricFitnessAssignment.h
+++ b/trunk/paradiseo-moeo/src/fitness/moeoAugmentedWeightedChebychevMetricFitnessAssignment.h
@@ -72,7 +72,7 @@ class moeoAugmentedWeightedChebychevMetricFitnessAssignment : public moeoSingleO
 		 * @param _weight the weights applied to the objectives
 		 * @param _eval a evalFunc to regenerate the objectiveVector if needed
 		 */
-		moeoAugmentedWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, eoEvalFunc<MOEOT>& _eval) : eval(_eval), normalizer(defaultNormalizer), distance(_rho, _weight), metric(distance, _reference, normalizer){}
+		moeoAugmentedWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, eoEvalFunc<MOEOT>& _eval) : normalizer(defaultNormalizer), eval(_eval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
 
 		/**
 		 * ctor with an evaluation fonction, applied if give moeot is invalid, and a noramlizer, applied to ObjectiveVectors
@@ -90,7 +90,7 @@ class moeoAugmentedWeightedChebychevMetricFitnessAssignment : public moeoSingleO
 		 * @param _reference the reference point
 		 * @param _weight the weights applied to the objectives
 		  */
-		moeoAugmentedWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight) : eval(defaultEval), normalizer(defaultNormalizer), distance(_rho, _weight), metric(distance, _reference, normalizer){}
+		moeoAugmentedWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight) : normalizer(defaultNormalizer), eval(defaultEval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
 
 		 /** 
 		  * Sets the fitness values for a moeot
@@ -133,11 +133,12 @@ class moeoAugmentedWeightedChebychevMetricFitnessAssignment : public moeoSingleO
 			}
 		} defaultEval;
 
-		moeoAugmentedWeightedChebychevDistance<MOEOT> distance;
 		moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
 		moeoObjectiveVectorNormalizer<MOEOT> &normalizer;
-		moeoDistanceMetric<MOEOT> metric;
 		eoEvalFunc<MOEOT> &eval;
+		moeoAugmentedWeightedChebychevDistance<MOEOT> distance;
+		moeoDistanceMetric<MOEOT> metric;
+
 
 };
 
diff --git a/trunk/paradiseo-moeo/src/fitness/moeoConstraintFitnessAssignment.h b/trunk/paradiseo-moeo/src/fitness/moeoConstraintFitnessAssignment.h
index c48eee9d9..c87ee3514 100644
--- a/trunk/paradiseo-moeo/src/fitness/moeoConstraintFitnessAssignment.h
+++ b/trunk/paradiseo-moeo/src/fitness/moeoConstraintFitnessAssignment.h
@@ -99,7 +99,7 @@ class moeoConstraintFitnessAssignment : public moeoSingleObjectivization < MOEOT
 			}
 			else{
 				for(unsigned int l=0; l<dim; l++){
-					if (l==to_optimize)
+					if ((int)l==to_optimize)
 						if (_mo.minimizing(l))
 							res-=(normalizer(_mo)[l]) * weight[l];
 						else
diff --git a/trunk/paradiseo-moeo/src/fitness/moeoWeightedChebychevMetricFitnessAssignment.h b/trunk/paradiseo-moeo/src/fitness/moeoWeightedChebychevMetricFitnessAssignment.h
index 68de7e748..4d8dba309 100644
--- a/trunk/paradiseo-moeo/src/fitness/moeoWeightedChebychevMetricFitnessAssignment.h
+++ b/trunk/paradiseo-moeo/src/fitness/moeoWeightedChebychevMetricFitnessAssignment.h
@@ -76,7 +76,7 @@ class moeoWeightedChebychevMetricFitnessAssignment : public moeoSingleObjectiviz
 		 * @param _weight the weights applied to the objectives
 		 * @param _eval a evalFunc to regenerate the objectiveVector if needed
 		 */
-		moeoWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, eoEvalFunc<MOEOT>& _eval) : eval(_eval), normalizer(defaultNormalizer), distance(_rho, _weight), metric(distance, _reference, normalizer){}
+		moeoWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight, eoEvalFunc<MOEOT>& _eval) : normalizer(defaultNormalizer), eval(_eval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
 
 		/**
 		 * ctor with an evaluation fonction, applied if give moeot is invalid, and a noramlizer, applied to ObjectiveVectors
@@ -94,7 +94,7 @@ class moeoWeightedChebychevMetricFitnessAssignment : public moeoSingleObjectiviz
 		 * @param _reference the reference point
 		 * @param _weight the weights applied to the objectives
 		  */
-		moeoWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight) : eval(defaultEval), normalizer(defaultNormalizer), distance(_rho, _weight), metric(distance, _reference, normalizer){}
+		moeoWeightedChebychevMetricFitnessAssignment(unsigned int _rho, const ObjectiveVector& _reference, const ObjectiveVector& _weight) : normalizer(defaultNormalizer), eval(defaultEval), distance(_rho, _weight), metric(distance, _reference, normalizer){}
 
 		 /** 
 		  * Sets the fitness values for a moeot
@@ -133,17 +133,16 @@ class moeoWeightedChebychevMetricFitnessAssignment : public moeoSingleObjectiviz
 
 	private:
 
-		moeoWeightedChebychevDistance<MOEOT> distance;
-		moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
-		moeoObjectiveVectorNormalizer<MOEOT>& normalizer;
-		moeoDistanceMetric<MOEOT> metric;
-		eoEvalFunc<MOEOT> &eval;
-
 		class DummyEval: public eoEvalFunc<MOEOT>{
 			void operator()(MOEOT &moeo){
 			}
 		} defaultEval;
 
+		moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
+		moeoObjectiveVectorNormalizer<MOEOT>& normalizer;
+		eoEvalFunc<MOEOT> &eval;
+		moeoWeightedChebychevDistance<MOEOT> distance;
+		moeoDistanceMetric<MOEOT> metric;
 };
 
 #endif /*moeoWeightedChebychevMetricFitnessASSIGNMENT_H_*/
diff --git a/trunk/paradiseo-moeo/src/metric/moeoDistanceMetric.h b/trunk/paradiseo-moeo/src/metric/moeoDistanceMetric.h
index fc5626982..13c642acd 100644
--- a/trunk/paradiseo-moeo/src/metric/moeoDistanceMetric.h
+++ b/trunk/paradiseo-moeo/src/metric/moeoDistanceMetric.h
@@ -77,10 +77,10 @@ class moeoDistanceMetric : public moeoUnaryMetric < typename MOEOT::ObjectiveVec
 		}
 
 	private:
-		moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
-		moeoObjectiveVectorNormalizer<MOEOT>& normalizer;
 		moeoObjSpaceDistance<MOEOT>& distance;
 		const ObjectiveVector& reference;
+		moeoObjectiveVectorNormalizer<MOEOT> defaultNormalizer;
+		moeoObjectiveVectorNormalizer<MOEOT>& normalizer;
 
 };
 #endif
diff --git a/trunk/paradiseo-moeo/src/selection/moeoDetArchiveSelect.h b/trunk/paradiseo-moeo/src/selection/moeoDetArchiveSelect.h
index a786f60a1..81e09e36c 100644
--- a/trunk/paradiseo-moeo/src/selection/moeoDetArchiveSelect.h
+++ b/trunk/paradiseo-moeo/src/selection/moeoDetArchiveSelect.h
@@ -67,20 +67,20 @@ class moeoDetArchiveSelect : public eoSelect<MOEOT>
 				unsigned int archive_size = archive.size();
 				_dest.resize(0);
 				if ((archive_size >= min) && (archive_size <= max)){
-					for (int i=0; i<archive_size; i++)
+					for (unsigned int i=0; i<archive_size; i++)
 						_dest.push_back(archive[i]);
 				}
 				else if (archive_size > max){
 					UF_random_generator<unsigned int> rndGen;
 					std::vector <int> permutation;
-					for(int i=0; i < archive_size; i++)
+					for(unsigned int i=0; i < archive_size; i++)
 						permutation.push_back(i);
 					random_shuffle(permutation.begin(), permutation.end(), rndGen);
-					for (int i=0; i<max; i++)
+					for (unsigned int i=0; i<max; i++)
 						_dest.push_back(archive[permutation[i]]);
 				}
 				else {
-					for (int i=0; i<min; i++){
+					for (unsigned int i=0; i<min; i++){
 						_dest.push_back(archive[i%archive_size]);
 					}
 				}
diff --git a/trunk/paradiseo-moeo/src/utils/moeoAugmentedQexploreWeightStrategy.h b/trunk/paradiseo-moeo/src/utils/moeoAugmentedQexploreWeightStrategy.h
index 591872e28..0d740a970 100755
--- a/trunk/paradiseo-moeo/src/utils/moeoAugmentedQexploreWeightStrategy.h
+++ b/trunk/paradiseo-moeo/src/utils/moeoAugmentedQexploreWeightStrategy.h
@@ -95,7 +95,6 @@ class moeoAugmentedQexploreWeightStrategy: public moeoVariableWeightStrategy<MOE
 		bool translate(int dim, std::vector<double> &_weights){
 			_weights.clear();
 			_weights.resize(dim,0);
-			int max=dim-1;
 			for (unsigned int i=0;i<nums.size();i++){
 				_weights[nums[i]]++;
 				if (depth>1 && _weights[nums[i]]==depth) {
diff --git a/trunk/paradiseo-moeo/src/utils/moeoDummyWeightStrategy.h b/trunk/paradiseo-moeo/src/utils/moeoDummyWeightStrategy.h
index 3db57a2e2..3b93dd077 100755
--- a/trunk/paradiseo-moeo/src/utils/moeoDummyWeightStrategy.h
+++ b/trunk/paradiseo-moeo/src/utils/moeoDummyWeightStrategy.h
@@ -52,7 +52,6 @@ class moeoDummyWeightStrategy: public moeoVariableWeightStrategy<MOEOT>
 		   * @param _moeot not used
 		   */
 		  void operator()(std::vector<double> &_weights,const MOEOT &_moeot){
-			  double sum=0;
 			  for (unsigned int i=0;i<_weights.size();i++){
 				  _weights[i]=(1.0/_weights.size());
 			  }
diff --git a/trunk/paradiseo-moeo/test/t-moeoASEEA.cpp b/trunk/paradiseo-moeo/test/t-moeoASEEA.cpp
index d3bd43045..9c97f0f6b 100644
--- a/trunk/paradiseo-moeo/test/t-moeoASEEA.cpp
+++ b/trunk/paradiseo-moeo/test/t-moeoASEEA.cpp
@@ -93,7 +93,7 @@ int main()
     eoRealInitBounded < Solution > init(bounds);
     eoPop < Solution > pop(20, init);
 
-    for(int i=0; i<pop.size(); i++)
+    for(unsigned int i=0; i<pop.size(); i++)
     	eval(pop[i]);
 
     eoSGATransform < Solution > transform(xover, 0.1, mutation, 0.1);
diff --git a/trunk/paradiseo-moeo/test/t-moeoASFAMetric.cpp b/trunk/paradiseo-moeo/test/t-moeoASFAMetric.cpp
index a1a576a67..482edb158 100755
--- a/trunk/paradiseo-moeo/test/t-moeoASFAMetric.cpp
+++ b/trunk/paradiseo-moeo/test/t-moeoASFAMetric.cpp
@@ -74,8 +74,6 @@ class DummyEval: public eoEvalFunc<Solution>{
 
 int main()
 {
-    int res=EXIT_SUCCESS;
-
     std::cout << "[moeoChebyshevMetric] => ";
 
     // objective vectors
diff --git a/trunk/paradiseo-moeo/test/t-moeoASFAOrMetric.cpp b/trunk/paradiseo-moeo/test/t-moeoASFAOrMetric.cpp
index 658fdaae7..b8e019429 100755
--- a/trunk/paradiseo-moeo/test/t-moeoASFAOrMetric.cpp
+++ b/trunk/paradiseo-moeo/test/t-moeoASFAOrMetric.cpp
@@ -74,8 +74,6 @@ class DummyEval: public eoEvalFunc<Solution>{
 
 int main()
 {
-    int res=EXIT_SUCCESS;
-
     std::cout << "[moeoChebyshevMetric] => ";
 
     // objective vectors
diff --git a/trunk/paradiseo-moeo/test/t-moeoAggregationFitnessAssignment.cpp b/trunk/paradiseo-moeo/test/t-moeoAggregationFitnessAssignment.cpp
index 9e48d6c6e..c81e5ec1c 100755
--- a/trunk/paradiseo-moeo/test/t-moeoAggregationFitnessAssignment.cpp
+++ b/trunk/paradiseo-moeo/test/t-moeoAggregationFitnessAssignment.cpp
@@ -70,8 +70,6 @@ typedef MOEO < ObjectiveVector, double, double > Solution;
 
 int main()
 {
-    int res=EXIT_SUCCESS;
-
     std::cout << "[moeoAggregationFitnessAssignment] => ";
 
     // objective vectors
diff --git a/trunk/paradiseo-moeo/test/t-moeoChebyshevMetric.cpp b/trunk/paradiseo-moeo/test/t-moeoChebyshevMetric.cpp
index a14a845ea..ec1be5f96 100755
--- a/trunk/paradiseo-moeo/test/t-moeoChebyshevMetric.cpp
+++ b/trunk/paradiseo-moeo/test/t-moeoChebyshevMetric.cpp
@@ -74,8 +74,6 @@ class DummyEval: public eoEvalFunc<Solution>{
 
 int main()
 {
-    int res=EXIT_SUCCESS;
-
     std::cout << "[moeoChebyshevMetric] => ";
 
     // objective vectors
diff --git a/trunk/paradiseo-moeo/test/t-moeoChebyshevOrientedMetric.cpp b/trunk/paradiseo-moeo/test/t-moeoChebyshevOrientedMetric.cpp
index 659af28f0..30afece5c 100755
--- a/trunk/paradiseo-moeo/test/t-moeoChebyshevOrientedMetric.cpp
+++ b/trunk/paradiseo-moeo/test/t-moeoChebyshevOrientedMetric.cpp
@@ -74,8 +74,6 @@ class DummyEval: public eoEvalFunc<Solution>{
 
 int main()
 {
-    int res=EXIT_SUCCESS;
-
     std::cout << "[moeoChebyshevMetric] => ";
 
     // objective vectors
diff --git a/trunk/paradiseo-moeo/test/t-moeoConstraintFitnessAssignment.cpp b/trunk/paradiseo-moeo/test/t-moeoConstraintFitnessAssignment.cpp
index f8a280604..f6f063d44 100755
--- a/trunk/paradiseo-moeo/test/t-moeoConstraintFitnessAssignment.cpp
+++ b/trunk/paradiseo-moeo/test/t-moeoConstraintFitnessAssignment.cpp
@@ -74,8 +74,6 @@ class DummyEval: public eoEvalFunc<Solution>{
 
 int main()
 {
-    int res=EXIT_SUCCESS;
-
     std::cout << "[moeoAggregationFitnessAssignment] => ";
 
     // objective vectors
diff --git a/trunk/paradiseo-moeo/test/t-moeoDetArchiveSelect.cpp b/trunk/paradiseo-moeo/test/t-moeoDetArchiveSelect.cpp
index 7f9482ee1..b85085d58 100644
--- a/trunk/paradiseo-moeo/test/t-moeoDetArchiveSelect.cpp
+++ b/trunk/paradiseo-moeo/test/t-moeoDetArchiveSelect.cpp
@@ -102,7 +102,7 @@ int main()
 	// test with max > archive size
 	moeoDetArchiveSelect <Solution> select1(archive, 10);
 	select1(source, dest);
-	for(int i=0; i< archive.size(); i++){
+	for(unsigned int i=0; i< archive.size(); i++){
 		assert(dest[i].objectiveVector()[0]==archive[i].objectiveVector()[0]);
 		assert(dest[i].objectiveVector()[1]==archive[i].objectiveVector()[1]);
 	}
diff --git a/trunk/paradiseo-moeo/test/t-moeoHC.cpp b/trunk/paradiseo-moeo/test/t-moeoHC.cpp
index f6e20549d..a2b42da86 100644
--- a/trunk/paradiseo-moeo/test/t-moeoHC.cpp
+++ b/trunk/paradiseo-moeo/test/t-moeoHC.cpp
@@ -266,7 +266,6 @@ class selectMove: public moMoveSelect<testMove>
 int main()
 {
 	std::string test_result;
-	int return_value;
 
 	Solution solution;
 
diff --git a/trunk/paradiseo-moeo/test/t-moeoTS.cpp b/trunk/paradiseo-moeo/test/t-moeoTS.cpp
index 9f4b791ce..b8c6e310c 100644
--- a/trunk/paradiseo-moeo/test/t-moeoTS.cpp
+++ b/trunk/paradiseo-moeo/test/t-moeoTS.cpp
@@ -246,7 +246,6 @@ class solutionSingler : public moeoSingleObjectivization<Solution>
 int main()
 {
 	std::string test_result;
-	int return_value;
 
 	Solution solution;
 
diff --git a/trunk/paradiseo-moeo/test/t-moeoVFAS.cpp b/trunk/paradiseo-moeo/test/t-moeoVFAS.cpp
index 951ddd22e..c5e2f5079 100644
--- a/trunk/paradiseo-moeo/test/t-moeoVFAS.cpp
+++ b/trunk/paradiseo-moeo/test/t-moeoVFAS.cpp
@@ -277,7 +277,6 @@ class selectMove: public moMoveSelect<testMove>
 int main()
 {
 	std::string test_result;
-	int return_value;
 
 	Solution solution;