Version Memetic STD

Easea.h

@@ -24,6 +24,7 @@ Centre de Math
 #define STD_FLAVOR_SO 0
 #define STD_FLAVOR_MO 1
 #define STD_FLAVOR_CMAES 2
+#define STD_FLAVOR_MEMETIC 3
 #define CUDA_FLAVOR_SO 0
 #define CUDA_FLAVOR_MO 1
 #define CUDA_FLAVOR_CMAES 2
@@ -46,9 +47,10 @@ extern float fSELECT_PRM, fRED_PAR_PRM, fRED_FINAL_PRM, fRED_OFF_PRM;
 extern char  sSELECTOR[], sSELECTOR_OPERATOR[], sRED_PAR[], sRED_PAR_OPERATOR[], sRED_FINAL[], sRED_FINAL_OPERATOR[], sRED_OFF[], sRED_OFF_OPERATOR[];
 extern int nMINIMISE,nELITE;
 extern bool bELITISM, bVERBOSE;
-extern bool bPRINT_STATS, bPLOT_STATS, bGENERATE_CVS_FILE, bGENERATE_GNUPLOT_SCRIPT, bGENERATE_R_SCRIPT;
+extern bool bBALDWINISM;
+extern bool bPRINT_STATS, bPLOT_STATS, bGENERATE_CSV_FILE, bGENERATE_GNUPLOT_SCRIPT, bGENERATE_R_SCRIPT;
 extern char* nGENOME_NAME;
-extern int nPOP_SIZE, nNB_GEN, nOFF_SIZE, nPROBLEM_DIM, nTIME_LIMIT;
+extern int nPOP_SIZE, nNB_GEN, nNB_OPT_IT, nOFF_SIZE, nPROBLEM_DIM, nTIME_LIMIT;
 extern float fMUT_PROB, fXOVER_PROB, fSURV_PAR_SIZE, fSURV_OFF_SIZE;
 
 extern int nWARNINGS, nERRORS;

EaseaLex.l

@@ -73,7 +73,7 @@ Centre de Math
 %start GENOME_ANALYSIS TEMPLATE_ANALYSIS MACRO_IDENTIFIER MACRO_DEFINITION 
 %start COPY_USER_DECLARATIONS COPY_INITIALISATION_FUNCTION ANALYSE_USER_CLASSES
 %start COPY_EO_INITIALISER 
-%start COPY COPY_INITIALISER COPY_CROSSOVER COPY_MUTATOR COPY_EVALUATOR COPY_FINALIZATION_FUNCTION
+%start COPY COPY_INITIALISER COPY_CROSSOVER COPY_MUTATOR COPY_EVALUATOR COPY_FINALIZATION_FUNCTION COPY_OPTIMISER
 %start COPY_DISPLAY COPY_USER_FUNCTION COPY_USER_GENERATION PARAMETERS_ANALYSIS GET_PARAMETERS 
 %start COPY_USER_FUNCTIONS COPY_GENERATION_FUNCTION_BEFORE_REPLACEMENT GET_METHODS COPY_MAKEFILE_OPTION COPY_BOUND_CHECKING_FUNCTION COPY_BEG_GENERATION_FUNCTION COPY_END_GENERATION_FUNCTION COPY_INSTEAD_EVAL
 
@@ -81,7 +81,7 @@ Centre de Math
 %name CEASEALexer {
  protected:
   CSymbolTable *pSymbolTable;   // the symbol table
-  bool bSymbolInserted,bWithinEvaluator;  // used to change evalutor type from double to float 
+  bool bSymbolInserted,bWithinEvaluator, bWithinOptimiser;  // used to change evalutor type from double to float 
   bool bInitFunction,bDisplayFunction,bFunction, bNotFinishedYet, bWithinEO_Function;
   bool bDoubleQuotes,bWithinDisplayFunction,bWithinInitialiser,bWithinMutator,bWithinXover;
   bool bWaitingForSemiColon,bFinishNB_GEN,bFinishMINIMISE,bFinishMINIMIZE,bGenerationReplacementFunction;
@@ -98,7 +98,7 @@ Centre de Math
 
 // constructor
 {                                
-  bFunction=bWithinEvaluator=bDisplayFunction=bInitFunction=bNotFinishedYet=0;
+  bFunction=bWithinEvaluator=bWithinOptimiser=bDisplayFunction=bInitFunction=bNotFinishedYet=0;
   bSymbolInserted=bDoubleQuotes=bWithinDisplayFunction=bWithinInitialiser=bWithinMutator=bWithinXover=0;
   bWaitingForSemiColon=bFinishNB_GEN=bFinishMINIMISE=bFinishMINIMIZE=bGenerationReplacementFunction=0;
   bCatchNextSemiColon,bWaitingToClosePopulation=bMethodsInGenome=0;
@@ -549,6 +549,11 @@ exponent  ([Ee][+-]?[0-9]+)
   lineCounter=1;
   BEGIN COPY_EVALUATOR;   
  }
+<TEMPLATE_ANALYSIS>"\\INSERT_OPTIMISER"  {        
+  yyreset();
+  yyin = fpGenomeFile;                                                     // switch to .ez file and analyser
+  BEGIN COPY_OPTIMISER;   
+ }
 
 <TEMPLATE_ANALYSIS>"\\INSERT_CUDA_EVALUATOR"  {        
   yyreset();
@@ -711,10 +716,12 @@ if(OPERATING_SYSTEM=WINDOWS)
   case STD:
   case CUDA: fprintf(fpOutputFile,"%d",bELITISM);
   }                                 }
+<TEMPLATE_ANALYSIS>"\\NB_OPT_IT"  {fprintf(fpOutputFile,"%d",nNB_OPT_IT);}
+<TEMPLATE_ANALYSIS>"\\BALDWINISM" {fprintf(fpOutputFile,"%d",bBALDWINISM);}
 
 <TEMPLATE_ANALYSIS>"\\PRINT_STATS" {fprintf(fpOutputFile,"%d",bPRINT_STATS);}
 <TEMPLATE_ANALYSIS>"\\PLOT_STATS" {fprintf(fpOutputFile,"%d",bPLOT_STATS);}
-<TEMPLATE_ANALYSIS>"\\GENERATE_CVS_FILE" {fprintf(fpOutputFile,"%d",bGENERATE_CVS_FILE);}
+<TEMPLATE_ANALYSIS>"\\GENERATE_CSV_FILE" {fprintf(fpOutputFile,"%d",bGENERATE_CSV_FILE);}
 <TEMPLATE_ANALYSIS>"\\GENERATE_GNUPLOT_SCRIPT" {fprintf(fpOutputFile,"%d",bGENERATE_GNUPLOT_SCRIPT);}
 <TEMPLATE_ANALYSIS>"\\GENERATE_R_SCRIPT" {fprintf(fpOutputFile,"%d",bGENERATE_R_SCRIPT);}
 
@@ -1354,6 +1361,15 @@ if(OPERATING_SYSTEM=WINDOWS)
 <COPY_EVALUATOR>. {}
 <COPY_EVALUATOR>\n {lineCounter++;}
 
+<COPY_OPTIMISER>"\\GenomeClass::optimiser"[ \t\n]*":" {
+  BEGIN COPY_USER_FUNCTION;
+  bWithinOptimiser=1;
+  if( bLINE_NUM_EZ_FILE )
+    fprintf(fpOutputFile,"#line %d \"%s.ez\"\n",lineCounter, sRAW_PROJECT_NAME);
+  return USER_OPTIMISER;
+ }
+<COPY_OPTIMISER>.|\n {lineCounter++;}
+
 //****************************************
 //  Basic copy to .cpp file with major changes
 //****************************************
@@ -1549,7 +1565,7 @@ if(OPERATING_SYSTEM=WINDOWS)
 
 <COPY_USER_FUNCTION>"Genome"  {
 
-  if(bWithinEvaluator || bWithinMutator || bWithinDisplayFunction){ 
+  if(bWithinOptimiser || bWithinEvaluator || bWithinMutator || bWithinDisplayFunction){ 
     if( bWithinCUDA_Evaluator)
       fprintf(fpOutputFile, "(*INDIVIDUAL_ACCESS(devBuffer,id))");
     else fprintf(fpOutputFile, "(*this)");
@@ -1641,7 +1657,7 @@ if(OPERATING_SYSTEM=WINDOWS)
 <COPY_USER_FUNCTION>"\\end" {rewind(fpGenomeFile);
   yyin = fpTemplateFile;
   BEGIN TEMPLATE_ANALYSIS;
-  bWithinInitialiser=bWithinXover=bWithinMutator=bWithinEvaluator=bWithinCUDA_Evaluator=0;
+  bWithinInitialiser=bWithinXover=bWithinMutator=bWithinEvaluator=bWithinOptimiser=bWithinCUDA_Evaluator=0;
   if (bWithinDisplayFunction){
     bWithinDisplayFunction=0; // display function
   }
@@ -1680,7 +1696,7 @@ if(OPERATING_SYSTEM=WINDOWS)
 
 <GET_PARAMETERS>"Print"[ \t\n]+"stats"[ \t\n]*":"[\t\n]* {if (bVERBOSE) printf("\tPrint Stats...\n");return PRINT_STATS;}
 <GET_PARAMETERS>"Plot"[ \t\n]+"stats"[ \t\n]*":"[\t\n]* {if (bVERBOSE) printf("\tPlot Stats with gnuplot...\n");return PLOT_STATS;}
-<GET_PARAMETERS>"Generate"[ \t\n]+"cvs"[ \t\n]+"stats"[ \t\n]+"file"[ \t\n]*":"[ \t\n]* {if (bVERBOSE) printf("\tPrint Stats to cvs File...\n");return GENERATE_CVS_FILE;}
+<GET_PARAMETERS>"Generate"[ \t\n]+"csv"[ \t\n]+"stats"[ \t\n]+"file"[ \t\n]*":"[ \t\n]* {if (bVERBOSE) printf("\tPrint Stats to csv File...\n");return GENERATE_CSV_FILE;}
 <GET_PARAMETERS>"Generate"[ \t\n]+"gnuplot"[ \t\n]+"script"[ \t\n]*":"[ \t\n]* {if (bVERBOSE) printf("\tGenerate Gnuplot Script...\n");return GENERATE_GNUPLOT_SCRIPT;}
 <GET_PARAMETERS>"Generate"[ \t\n]+"R"[ \t\n]+"script"[ \t\n]*":"[ \t\n]* {if (bVERBOSE) printf("\tGenerate R Script...\n");return GENERATE_R_SCRIPT;}
 
@@ -1702,6 +1718,8 @@ if(OPERATING_SYSTEM=WINDOWS)
 <GET_PARAMETERS>"Final"[ \t\n]+"reduce"[ \t\n]+"operator"[ \t\n]*":"[ \t\n]* {if (bVERBOSE) printf ("\tFinal Reduce Operator...\n");return RED_FINAL;}// DISCARD;}
 <GET_PARAMETERS>"Elitism"[ \t\n]*":" {if (bVERBOSE) printf ("\tElitism...\n");return ELITISM;}
 <GET_PARAMETERS>"Evaluator"[ \t\n]+"goal"[ \t\n]*":"[ \t\n]* {if (bVERBOSE) printf ("\tMinMax...\n");return MINIMAXI;}
+<GET_PARAMETERS>"Number"[ \t\n]+"of"[ \t\n]+"optimisation"[ \t\n]+"iterations"[ \t\n]*":"[ \t\n]* {if (bVERBOSE) printf ("\tNb of Optimisation It...\n");return NB_OPT_IT;}
+<GET_PARAMETERS>"Baldwinism"[ \t\n]*":"[ \t\n]* {if (bVERBOSE) printf ("\tBaldwinism...\n");return BALDWINISM;}
  
 // number
 <GET_PARAMETERS>[0-9]+"."[0-9]*{exponent}?  |
@@ -1840,6 +1858,8 @@ int CEASEALexer::create(CEASEAParser* pParser, CSymbolTable* pSymTable)
       strcat(sTemp,"STD.tpl");
     else if (TARGET_FLAVOR == STD_FLAVOR_CMAES)
       strcat(sTemp,"CMAES.tpl");
+    else if (TARGET_FLAVOR == STD_FLAVOR_MEMETIC )
+      strcat(sTemp,"STD_MEM.tpl");
     else
       strcat(sTemp,"STD_MO.tpl");
     if (!(yyin = fpTemplateFile = fopen(sTemp, "r"))){

EaseaParse.y

@@ -39,18 +39,20 @@ float fRED_OFF_PRM;//[50] = {0};
 char sRED_FINAL[50], sRED_FINAL_OPERATOR[50];
 float fRED_FINAL_PRM=0.0;//[50];
 int nMINIMISE=2;
-int nELITE;
+int nELITE=0;
 bool bELITISM=0;
 bool bVERBOSE=0;
 bool bLINE_NUM_EZ_FILE=1;
 bool bPRINT_STATS=1;
 bool bPLOT_STATS=0;
-bool bGENERATE_CVS_FILE=0, bGENERATE_R_SCRIPT=0, bGENERATE_GNUPLOT_SCRIPT=0;
+bool bGENERATE_CSV_FILE=0, bGENERATE_R_SCRIPT=0, bGENERATE_GNUPLOT_SCRIPT=0;
+bool bBALDWINISM=0;
 int nPOP_SIZE, nOFF_SIZE;
 float fSURV_PAR_SIZE=-1.0, fSURV_OFF_SIZE=-1.0;
 char *nGENOME_NAME;
 int nPROBLEM_DIM;
-int nNB_GEN;
+int nNB_GEN=0;
+int nNB_OPT_IT=0;
 int nTIME_LIMIT=0;
 float fMUT_PROB;
 float fXOVER_PROB;
@@ -94,6 +96,7 @@ class CSymbol;
 %token USER_XOVER
 %token USER_MUTATOR
 %token USER_EVALUATOR                   
+%token USER_OPTIMISER
 %token MAKEFILE_OPTION
 %token END_OF_FUNCTION                   
 //%token DELETE
@@ -111,6 +114,8 @@ class CSymbol;
 %token METHODS
 %token STATIC       
 %token NB_GEN       
+%token NB_OPT_IT //Memetic 
+%token BALDWINISM //Memetic
 %token MUT_PROB
 %token XOVER_PROB                       
 %token POP_SIZE
@@ -126,7 +131,7 @@ class CSymbol;
 %token ELITE
 %token PRINT_STATS
 %token PLOT_STATS
-%token GENERATE_CVS_FILE
+%token GENERATE_CSV_FILE
 %token GENERATE_GNUPLOT_SCRIPT
 %token GENERATE_R_SCRIPT
 %token TIME_LIMIT
@@ -446,6 +451,12 @@ StandardFunctionAnalysis
     END_OF_FUNCTION {
       if (TARGET!=CUDA && TARGET!=STD) fprintf(fpOutputFile,"}\n");
     }
+  | USER_OPTIMISER { 
+      if (bVERBOSE) printf("Inserting user genome optimiser (taken from .ez file).\n");
+    } 
+    END_OF_FUNCTION {
+      if (TARGET!=CUDA && TARGET!=STD) fprintf(fpOutputFile,"}\n");
+    }
    | MAKEFILE_OPTION END_OF_FUNCTION {
      //DEBUG_PRT("User makefile options have been reduced");
      }
@@ -460,6 +471,8 @@ RunParameters
 Parameter
   :  NB_GEN NUMBER2
       {nNB_GEN=(int)$2;}
+  |  NB_OPT_IT NUMBER2
+      {nNB_OPT_IT=(int)$2;}
   |  TIME_LIMIT NUMBER2
       {nTIME_LIMIT=(int)$2;}
   |  MUT_PROB NUMBER2
@@ -576,6 +589,14 @@ Parameter
          fprintf(stderr,"\n%s - Warning line %d: Elitism must be \"Strong\" or \"Weak\".\nDefault value \"Strong\" inserted.\n.",sEZ_FILE_NAME,EASEALexer.yylineno);nWARNINGS++;
          bELITISM=1;
        }}
+  | BALDWINISM IDENTIFIER2{
+      if (!mystricmp($2->sName,"False")) bELITISM=0;
+      else if (!mystricmp($2->sName,"True")) bELITISM=1;
+      else {
+         fprintf(stderr,"\n%s - Warning line %d: Lamarckism must be \"True\" or \"False\".\nDefault value \"True\" inserted.\n.",sEZ_FILE_NAME,EASEALexer.yylineno);nWARNINGS++;
+         bELITISM=1;
+       }}
+     
   | PRINT_STATS NUMBER2{
       if((int)$2>=1)
 	 bPRINT_STATS=1;
@@ -588,11 +609,11 @@ Parameter
       else
 	 bPLOT_STATS=0;
     }
-  | GENERATE_CVS_FILE NUMBER2{
+  | GENERATE_CSV_FILE NUMBER2{
       if((int)$2>=1)
-	 bGENERATE_CVS_FILE=1;
+	 bGENERATE_CSV_FILE=1;
       else
-	 bGENERATE_CVS_FILE=0;
+	 bGENERATE_CSV_FILE=0;
     }
   | GENERATE_GNUPLOT_SCRIPT NUMBER2{
       if((int)$2>=1)
@@ -678,11 +699,14 @@ int main(int argc, char *argv[]){
       TARGET=CUDA;
       TARGET_FLAVOR = CUDA_FLAVOR_CMAES;
     }
+    else if (!mystricmp(sTemp,"memetic"))  {
+      TARGET=STD;
+      TARGET_FLAVOR = STD_FLAVOR_MEMETIC;
+    }
 
 
     else if (!mystricmp(sTemp,"v"))  bVERBOSE=true;
     else if (!mystricmp(sTemp,"tl")){
-      printf("yopyop true line\n");
       bLINE_NUM_EZ_FILE=false;
     }
     else if (!mystricmp(sTemp,"path"))  {

examples/weierstrass_std/weierstrass.ez

@@ -152,8 +152,8 @@ CPPFLAGS+=
 \Default run parameters :        // Please let the parameters appear in this order
   Number of generations : 100     	// NB_GEN
   Time limit: 0 			// In seconds, 0 to deactivate
-  Population size : 3840			//POP_SIZE
-  Offspring size : 3840 // 40% 
+  Population size : 10			//POP_SIZE
+  Offspring size : 10 // 40% 
   Mutation probability : 1       // MUT_PROB
   Crossover probability : 1      // XOVER_PROB
   Evaluator goal : minimise      // Maximise

libeasea/CEvolutionaryAlgorithm.cpp

@@ -87,9 +87,9 @@ CEvolutionaryAlgorithm::CEvolutionaryAlgorithm(Parameters* params){
 		fichier.append(".plot");
 		remove(fichier.c_str());
 	}
-	if(params->generateRScript || params->generateCVSFile){
+	if(params->generateRScript || params->generateCSVFile){
 		string fichier = params->outputFilename;
-		fichier.append(".cvs");
+		fichier.append(".csv");
 		remove(fichier.c_str());
 	}
 	if(params->generateRScript){
@@ -113,6 +113,13 @@ void CEvolutionaryAlgorithm::addStoppingCriterion(CStoppingCriterion* sc){
 void CEvolutionaryAlgorithm::runEvolutionaryLoop(){
   CIndividual** elitistPopulation;
   
+#ifdef WIN32
+   clock_t begin(clock());
+#else
+  struct timeval begin;
+  gettimeofday(&begin,NULL);
+#endif
+
   std::cout << "Parent's population initializing "<< std::endl;
   this->initializeParentPopulation();
   if(!INSTEAD_EVAL_STEP)
@@ -120,14 +127,17 @@ void CEvolutionaryAlgorithm::runEvolutionaryLoop(){
   else
     evale_pop_chunk(population->parents, population->parentPopulationSize);
 
+  if(this->params->optimise){
+        population->optimiseParentPopulation();
+  }
+
   this->population->currentEvaluationNb += this->params->parentPopulationSize;
   if(this->params->printInitialPopulation){
   	std::cout << *population << std::endl;
   }
 
-
-  struct timeval begin;
-  gettimeofday(&begin,NULL);
+  showPopulationStats(begin);
+  currentGeneration += 1;
 
   //Initialize elitPopulation
   if(params->elitSize)
@@ -144,6 +154,10 @@ void CEvolutionaryAlgorithm::runEvolutionaryLoop(){
       evale_pop_chunk(population->offsprings, population->offspringPopulationSize);
     population->currentEvaluationNb += this->params->offspringPopulationSize;
 
+    if(this->params->optimise){
+          population->optimiseOffspringPopulation();
+    }
+
     EASEAGenerationFunctionBeforeReplacement(this);
 
     /* ELITISM */
@@ -169,7 +183,7 @@ void CEvolutionaryAlgorithm::runEvolutionaryLoop(){
     population->reduceTotalPopulation(elitistPopulation);
 
     population->sortParentPopulation();
-    if( this->params->printStats  || this->params->generateCVSFile )
+    if( this->params->printStats  || this->params->generateCSVFile )
       showPopulationStats(begin);
     bBest = population->Best;
     EASEAEndGenerationFunction(this);
@@ -246,11 +260,11 @@ void CEvolutionaryAlgorithm::showPopulationStats(struct timeval beginTime){
 	  fclose(f);
         }
   }
-  if(params->generateCVSFile || params->generateRScript){ //Generation du fichier CVS;
+  if(params->generateCSVFile || params->generateRScript){ //Generation du fichier CSV;
  	FILE *f;
 	string fichier = params->outputFilename;
-	fichier.append(".cvs");
- 	f = fopen(fichier.c_str(),"a"); //ajouter .cvs
+	fichier.append(".csv");
+ 	f = fopen(fichier.c_str(),"a"); //ajouter .csv
 	if(f!=NULL){
 	  if(currentGeneration==0)
 		fprintf(f,"GEN,TIME,EVAL,BEST,AVG,STDEV\n");
@@ -304,7 +318,7 @@ void CEvolutionaryAlgorithm::generateRScript(){
 	f=fopen(fichier.c_str(),"a");
 	fprintf(f,"#Plotting for R\n"),
 	fprintf(f,"png(\"%s\")\n",params->plotOutputFilename);
-	fprintf(f,"data <- read.table(\"./%s.cvs\",sep=\",\")\n",params->outputFilename);
+	fprintf(f,"data <- read.table(\"./%s.csv\",sep=\",\")\n",params->outputFilename);
 	fprintf(f,"plot(0, type = \"n\", main = \"Plot Title\", xlab = \"Number of Evaluations\", ylab = \"Fitness\", xlim = c(0,%d) )\n",population->currentEvaluationNb);
 	fprintf(f,"grid() # add grid\n");
 	fprintf(f,"lines(data[,3], data[,4], lty = 1) #draw first dataset\n");

libeasea/COptionParser.cpp

@@ -132,6 +132,8 @@ void parseArguments(const char* parametersFileName, int ac, char** av,
 	("reduceOffspringPressure",po::value<float>(),"Set the Offspring Reducing Pressure (default : 2.0)")	
 	("reduceFinalOperator",po::value<string>(),"Set the Final Reducing Operator (default : Tournament)")
 	("reduceFinalPressure",po::value<float>(),"Set the Final Reducing Pressure (default : 2.0)")
+	("optimiseIterations",po::value<int>(),"Set the number of optimisation iterations (default : 100)")
+	("baldwinism",po::value<int>(),"Only keep fitness (default : 0)")
 	("outputfile",po::value<string>(),"Set an output file for the final population (default : none)")
 	("inputfile",po::value<string>(),"Set an input file for the initial population (default : none)")
 	("printStats",po::value<int>(),"Print the Stats (default : 1)")

libeasea/CPopulation.cpp

@@ -106,19 +106,27 @@ void CPopulation::initPopulation(CSelectionOperator* selectionOperator,
 void CPopulation::evaluatePopulation(CIndividual** population, size_t populationSize){
   for( size_t i=0 ; i < populationSize ; i++ )
     population[i]->evaluate();
-  //currentEvaluationNb += populationSize;
 }
 
+void CPopulation::optimisePopulation(CIndividual** population, size_t populationSize){
+}
 
 void CPopulation::evaluateParentPopulation(){
   evaluatePopulation(parents,parentPopulationSize);
 }
 
+void CPopulation::optimiseParentPopulation(){
+  optimisePopulation(parents,parentPopulationSize);
+}
 
 void CPopulation::evaluateOffspringPopulation(){
   evaluatePopulation(offsprings,offspringPopulationSize);
 }
 
+void CPopulation::optimiseOffspringPopulation(){
+  optimisePopulation(offsprings,offspringPopulationSize);
+}
+
 
 /**
    Reduit la population population de taille populationSize

libeasea/include/CPopulation.h

@@ -65,12 +65,15 @@ public:
   //virtual void initializeParentPopulation() = 0;
   void addIndividualParentPopulation(CIndividual* indiv);
   void evaluatePopulation(CIndividual** population, size_t populationSize);
+  virtual void optimisePopulation(CIndividual** population, size_t populationSize);
   virtual void evaluateParentPopulation();
+  void optimiseParentPopulation();
 
   void strongElitism(size_t elitismSize, CIndividual** population, size_t populationSize, CIndividual** outPopulation, size_t outPopulationSize);
   void weakElitism(size_t elitismSize, CIndividual** parentsPopulation, CIndividual** offspringPopulation, size_t* parentPopSize, size_t* offPopSize, CIndividual** outPopulation, size_t outPopulationSize);
 
   virtual void evaluateOffspringPopulation();
+  void optimiseOffspringPopulation();
   CIndividual** reducePopulations(CIndividual** population, size_t populationSize,
 			       CIndividual** reducedPopulation, size_t obSize);
   CIndividual** reduceParentPopulation(size_t obSize);

libeasea/include/Parameters.h

@@ -50,8 +50,12 @@ public:
 	bool strongElitism;
 	unsigned int elitSize;
 
+	bool optimise;
+	int optimiseIterations;
+	bool baldwinism;
+
 	int printStats;
-	int generateCVSFile;
+	int generateCSVFile;
 	int generateGnuplotScript;
 	int generateRScript;	
 	int plotStats;

tpl/CMAES.tpl

@@ -84,7 +84,7 @@ int main(int argc, char** argv){
 using namespace std;
 
 #include "EASEAIndividual.hpp"
-
+bool INSTEAD_EVAL_STEP = false;
 
 CRandomGenerator* globalRandomGenerator;
 extern CEvolutionaryAlgorithm* EA;
@@ -102,6 +102,9 @@ extern CEvolutionaryAlgorithm* EA;
 
 \INSERT_BOUND_CHECKING
 
+void evale_pop_chunk(CIndividual** population, int popSize){
+  \INSTEAD_EVAL_FUNCTION
+}
 
 void EASEAInit(int argc, char** argv){
 	\INSERT_INIT_FCT_CALL
@@ -276,20 +279,21 @@ void ParametersImpl::setDefaultParameters(int argc, char** argv){
         controlCStopingCriterion = new CControlCStopingCriterion();
         timeCriterion = new CTimeCriterion(setVariable("timeLimit",\TIME_LIMIT));
 
+	this->optimise = 0;
 
         seed = setVariable("seed",(int)time(0));
         globalRandomGenerator = new CRandomGenerator(seed);
         this->randomGenerator = globalRandomGenerator;
 
         this->printStats = setVariable("printStats",\PRINT_STATS);
-        this->generateCVSFile = setVariable("generateCSVFile",\GENERATE_CVS_FILE);
+        this->generateCSVFile = setVariable("generateCSVFile",\GENERATE_CSV_FILE);
         this->generateGnuplotScript = setVariable("generateGnuplotScript",\GENERATE_GNUPLOT_SCRIPT);
         this->generateRScript = setVariable("generateRScript",\GENERATE_R_SCRIPT);
         this->plotStats = setVariable("plotStats",\PLOT_STATS);
         this->printInitialPopulation = setVariable("printInitialPopulation",0);
         this->printFinalPopulation = setVariable("printFinalPopulation",0);
 
-        this->outputFilename = (char*)"EASEA.dat";
+        this->outputFilename = (char*)"EASEA";
         this->plotOutputFilename = (char*)"EASEA.png";
 }
 
@@ -593,7 +597,7 @@ easeaclean:
 --plotStats=\PLOT_STATS #plot Stats with gnuplot (requires Gnuplot)
 --printInitialPopulation=0 #Print initial population
 --printFinalPopulation=0 #Print final population
---generateCSVFile=\GENERATE_CVS_FILE
+--generateCSVFile=\GENERATE_CSV_FILE
 --generateGnuplotScript=\GENERATE_GNUPLOT_SCRIPT
 --generateRScript=\GENERATE_R_SCRIPT
 

tpl/CMAES_CUDA.tpl

@@ -87,7 +87,7 @@ using namespace std;
 
 
 #include "EASEAIndividual.hpp"
-
+bool INSTEAD_EVAL_STEP = false;
 
 CRandomGenerator* globalRandomGenerator;
 extern CEvolutionaryAlgorithm* EA;
@@ -134,6 +134,10 @@ void cudaPreliminaryProcess(size_t populationSize, dim3* dimBlock, dim3* dimGrid
 
 \INSERT_BOUND_CHECKING
 
+void evale_pop_chunk(CIndividual** population, int popSize){
+  \INSTEAD_EVAL_FUNCTION
+}
+
 void EASEAInit(int argc, char** argv){
 	\INSERT_INIT_FCT_CALL
 	cma = new CCmaesCuda(setVariable("nbOffspring",\OFF_SIZE), setVariable("popSize",\POP_SIZE), \PROBLEM_DIM);
@@ -145,7 +149,7 @@ void EASEAFinal(CPopulation* pop){
 }
 
 void AESAEBeginningGenerationFunction(CEvolutionaryAlgorithm* evolutionaryAlgorithm){
-	if(*EZ_current_generation==0){
+	if(*EZ_current_generation==1){
 		cudaPreliminaryProcess(((PopulationImpl*)evolutionaryAlgorithm->population)->offspringPopulationSize,&dimBlockcuda, &dimGridcuda, &d_offspringPopulationcuda,&d_fitnessescuda);
 	}
 	cma->cmaes_UpdateEigensystem(0);
@@ -232,7 +236,7 @@ CIndividual* IndividualImpl::crossover(CIndividual** ps){
 	IndividualImpl** tmp = (IndividualImpl**)ps;
 	IndividualImpl parent1(*this);
 	IndividualImpl parent2(*tmp[0]);
-	IndividualImpl child1(*this);
+	IndividualImpl child(*this);
 
 	////DEBUG_PRT("Xover");
 	/*   cout << "p1 : " << parent1 << endl; */
@@ -243,9 +247,9 @@ CIndividual* IndividualImpl::crossover(CIndividual** ps){
 	for(int i=0; i<\PROBLEM_DIM; ++i)
 		cma->rgdTmp[i] = (float)(cma->rgD[i] * cma->alea.alea_Gauss());
 
-	child1.valid = false;
-	/*   cout << "child1 : " << child1 << endl; */
-	return new IndividualImpl(child1);
+	child.valid = false;
+	/*   cout << "child : " << child << endl; */
+	return new IndividualImpl(child);
 }
 
 
@@ -419,20 +423,21 @@ void ParametersImpl::setDefaultParameters(int argc, char** argv){
         controlCStopingCriterion = new CControlCStopingCriterion();
         timeCriterion = new CTimeCriterion(setVariable("timeLimit",\TIME_LIMIT));
 
+	this->optimise = 0;
 
         seed = setVariable("seed",(int)time(0));
         globalRandomGenerator = new CRandomGenerator(seed);
         this->randomGenerator = globalRandomGenerator;
 
         this->printStats = setVariable("printStats",\PRINT_STATS);
-        this->generateCVSFile = setVariable("generateCSVFile",\GENERATE_CVS_FILE);
+        this->generateCSVFile = setVariable("generateCSVFile",\GENERATE_CSV_FILE);
         this->generateGnuplotScript = setVariable("generateGnuplotScript",\GENERATE_GNUPLOT_SCRIPT);
         this->generateRScript = setVariable("generateRScript",\GENERATE_R_SCRIPT);
         this->plotStats = setVariable("plotStats",\PLOT_STATS);
         this->printInitialPopulation = setVariable("printInitialPopulation",0);
         this->printFinalPopulation = setVariable("printFinalPopulation",0);
 
-        this->outputFilename = (char*)"EASEA.dat";
+        this->outputFilename = (char*)"EASEA";
         this->plotOutputFilename = (char*)"EASEA.png";
 }
 
@@ -621,7 +626,7 @@ $(BIN):$(OBJ)
 	$(NVCC) $(NVCCFLAGS) -o $@ $< -c -DTIMING $(CPPFLAGS) -g -Xcompiler -Wall
 
 easeaclean: clean
-	rm -f Makefile EASEA.prm $(SRC) $(HDR) EASEA.mak $(CUDA_SRC) *.linkinfo EASEA.png EASEA.dat EASEA.vcproj
+	rm -f Makefile EASEA.prm $(SRC) $(HDR) EASEA.mak $(CUDA_SRC) *.linkinfo EASEA.png EASEA.dat EASEA.vcproj EASEA.plot EASEA.r EASEA.csv
 clean:
 	rm -f $(OBJ) $(BIN) 	
 	
@@ -796,7 +801,7 @@ clean:
 --plotStats=\PLOT_STATS #plot Stats with gnuplot (requires Gnuplot)
 --printInitialPopulation=0 #Print initial population
 --printFinalPopulation=0 #Print final population
---generateCSVFile=\GENERATE_CVS_FILE
+--generateCSVFile=\GENERATE_CSV_FILE
 --generateGnuplotScript=\GENERATE_GNUPLOT_SCRIPT
 --generateRScript=\GENERATE_R_SCRIPT
 

tpl/CUDA.tpl

@@ -80,7 +80,7 @@ int main(int argc, char** argv){
 using namespace std;
 
 #include "EASEAIndividual.hpp"
-
+bool INSTEAD_EVAL_STEP = false;
 
 CRandomGenerator* globalRandomGenerator;
 
@@ -127,6 +127,10 @@ void cudaPreliminaryProcess(size_t populationSize, dim3* dimBlock, dim3* dimGrid
 
 \INSERT_BOUND_CHECKING
 
+void evale_pop_chunk(CIndividual** population, int popSize){
+  \INSTEAD_EVAL_FUNCTION
+}
+
 void EASEAInit(int argc, char** argv){
 	\INSERT_INIT_FCT_CALL
 }
@@ -136,7 +140,7 @@ void EASEAFinal(CPopulation* pop){
 }
 
 void AESAEBeginningGenerationFunction(CEvolutionaryAlgorithm* evolutionaryAlgorithm){
-	if(*EZ_current_generation==0){
+	if(*EZ_current_generation==1){
 		cudaPreliminaryProcess(((PopulationImpl*)evolutionaryAlgorithm->population)->offspringPopulationSize,&dimBlockcuda, &dimGridcuda, &d_offspringPopulationcuda,&d_fitnessescuda);
 	}
 	\INSERT_BEGIN_GENERATION_FUNCTION
@@ -408,20 +412,21 @@ void ParametersImpl::setDefaultParameters(int argc, char** argv){
         controlCStopingCriterion = new CControlCStopingCriterion();
         timeCriterion = new CTimeCriterion(setVariable("timeLimit",\TIME_LIMIT));
 
+	this->optimise=0;
 
         seed = setVariable("seed",(int)time(0));
         globalRandomGenerator = new CRandomGenerator(seed);
         this->randomGenerator = globalRandomGenerator;
 
         this->printStats = setVariable("printStats",\PRINT_STATS);
-        this->generateCVSFile = setVariable("generateCSVFile",\GENERATE_CVS_FILE);
+        this->generateCSVFile = setVariable("generateCSVFile",\GENERATE_CSV_FILE);
         this->generateGnuplotScript = setVariable("generateGnuplotScript",\GENERATE_GNUPLOT_SCRIPT);
         this->generateRScript = setVariable("generateRScript",\GENERATE_R_SCRIPT);
         this->plotStats = setVariable("plotStats",\PLOT_STATS);
         this->printInitialPopulation = setVariable("printInitialPopulation",0);
         this->printFinalPopulation = setVariable("printFinalPopulation",0);
 
-        this->outputFilename = (char*)"EASEA.dat";
+        this->outputFilename = (char*)"EASEA";
         this->plotOutputFilename = (char*)"EASEA.png";
 
 }
@@ -791,7 +796,7 @@ clean:
 --plotStats=\PLOT_STATS #plot Stats with gnuplot (requires Gnuplot)
 --printInitialPopulation=0 #Print initial population
 --printFinalPopulation=0 #Print final population
---generateCSVFile=\GENERATE_CVS_FILE
+--generateCSVFile=\GENERATE_CSV_FILE
 --generateGnuplotScript=\GENERATE_GNUPLOT_SCRIPT
 --generateRScript=\GENERATE_R_SCRIPT
 

tpl/CUDA_GP.tpl

@@ -280,6 +280,7 @@ void ParametersImpl::setDefaultParameters(int argc, char** argv){
 	controlCStopingCriterion = new CControlCStopingCriterion();
 	timeCriterion = new CTimeCriterion(setVariable("timeLimit",\TIME_LIMIT));
 	
+	this->optimise = 0;
 
 	seed = setVariable("seed",(int)time(0));
 	globalRandomGenerator = new CRandomGenerator(seed);

tpl/STD.tpl

@@ -82,7 +82,7 @@ int main(int argc, char** argv){
 using namespace std;
 
 #include "EASEAIndividual.hpp"
-
+bool INSTEAD_EVAL_STEP = false;
 
 CRandomGenerator* globalRandomGenerator;
 extern CEvolutionaryAlgorithm* EA;
@@ -100,6 +100,10 @@ extern CEvolutionaryAlgorithm* EA;
 
 \INSERT_BOUND_CHECKING
 
+void evale_pop_chunk(CIndividual** population, int popSize){
+  \INSTEAD_EVAL_FUNCTION
+}
+
 void EASEAInit(int argc, char** argv){
 	\INSERT_INIT_FCT_CALL
 }
@@ -209,9 +213,6 @@ size_t IndividualImpl::mutate( float pMutationPerGene ){
   \INSERT_MUTATOR
 }
 
-
-
-
 void ParametersImpl::setDefaultParameters(int argc, char** argv){
 
 	this->minimizing = \MINIMAXI;
@@ -275,14 +276,15 @@ void ParametersImpl::setDefaultParameters(int argc, char** argv){
 	generationalCriterion = new CGenerationalCriterion(setVariable("nbGen",(int)\NB_GEN));
 	controlCStopingCriterion = new CControlCStopingCriterion();
 	timeCriterion = new CTimeCriterion(setVariable("timeLimit",\TIME_LIMIT));
-	
+
+	this->optimise = 0;
 
 	seed = setVariable("seed",(int)time(0));
 	globalRandomGenerator = new CRandomGenerator(seed);
 	this->randomGenerator = globalRandomGenerator;
 
 	this->printStats = setVariable("printStats",\PRINT_STATS);
-	this->generateCVSFile = setVariable("generateCSVFile",\GENERATE_CVS_FILE);
+	this->generateCSVFile = setVariable("generateCSVFile",\GENERATE_CSV_FILE);
 	this->generateGnuplotScript = setVariable("generateGnuplotScript",\GENERATE_GNUPLOT_SCRIPT);
 	this->generateRScript = setVariable("generateRScript",\GENERATE_R_SCRIPT);
 	this->plotStats = setVariable("plotStats",\PLOT_STATS);
@@ -593,7 +595,7 @@ easeaclean:
 --plotStats=\PLOT_STATS #plot Stats with gnuplot (requires Gnuplot)
 --printInitialPopulation=0 #Print initial population
 --printFinalPopulation=0 #Print final population
---generateCSV=\GENERATE_CVS_FILE
+--generateCSV=\GENERATE_CSV_FILE
 --generateGnuplotScript=\GENERATE_GNUPLOT_SCRIPT
 --generateRScript=\GENERATE_R_SCRIPT
 \TEMPLATE_END

tpl/STD_MEM.tpl

@@ -82,7 +82,7 @@ int main(int argc, char** argv){
 using namespace std;
 
 #include "EASEAIndividual.hpp"
-
+bool INSTEAD_EVAL_STEP = false;
 
 CRandomGenerator* globalRandomGenerator;
 extern CEvolutionaryAlgorithm* EA;
@@ -100,6 +100,10 @@ extern CEvolutionaryAlgorithm* EA;
 
 \INSERT_BOUND_CHECKING
 
+void evale_pop_chunk(CIndividual** population, int popSize){
+  \INSTEAD_EVAL_FUNCTION
+}
+
 void EASEAInit(int argc, char** argv){
 	\INSERT_INIT_FCT_CALL
 }