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easea
Commit 59f6c622 authored by kruger's avatar kruger
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Modification de certain affichage + amelioration du modele en ilot

parent 8622278c
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Showing with 38 additions and 15 deletions
examples/weierstrass_std/weierstrass.ez
View file @ 59f6c622
......@@ -190,7 +190,7 @@ CPPFLAGS+=
Generate R script:false
Plot stats:false //Default: 0
Remote island model: false
Remote island model: true
IP file: ip.txt //File containing all the remote island's IP
Save population: true
......
libeasea/CComUDPLayer.cpp
View file @ 59f6c622
......@@ -6,6 +6,7 @@ pthread_mutex_t server_mutex = PTHREAD_MUTEX_INITIALIZER;
/* UDP SERVER*/
CComUDPServer::~CComUDPServer() {
pthread_cancel(thread);
close(this->ServerSocket);
};
void * CComUDPServer::UDP_server_thread(void *parm) {
......@@ -104,6 +105,7 @@ void CComUDPClient::CComUDP_client_send(char *individual) {
sendto(this->Socket,individual,MAXINDSIZE,0,(struct sockaddr *)&this->ServAddr,sizeof(this->ServAddr));
}
else {fprintf(stderr,"Not sending individual with strlen(): %i\n",(int)strlen(individual));}
close(this->Socket);
};
std::string CComUDPClient::getIP(){
......
libeasea/CEvolutionaryAlgorithm.cpp
View file @ 59f6c622
......@@ -129,6 +129,8 @@ CEvolutionaryAlgorithm::CEvolutionaryAlgorithm(Parameters* params){
this->numberOfClients = 0;
this->myClientNumber=0;
this->initializeClients();
if(!params->remoteIslandModel)
delete this->server;
}
}
......@@ -320,7 +322,7 @@ void CEvolutionaryAlgorithm::showPopulationStats(struct timeval beginTime){
#ifdef WIN32
printf("%lu\t%2.6f\t%lu\t%.15e\t\t%.15e\t\t%.15e\n",currentGeneration,duration,population->currentEvaluationNb,population->Best->getFitness(),currentAverageFitness,currentSTDEV);
#else
printf("%d\t%ld.%06ld\t%d\t%.15e\t\t%.15e\t\t%.15e\n",currentGeneration,res.tv_sec,res.tv_usec,population->currentEvaluationNb,population->Best->getFitness(),currentAverageFitness,currentSTDEV);
printf("%d\t%ld.%06ld\t%d\t%.15e\t\t%.15e\t\t%.15e\n",(int)currentGeneration,res.tv_sec,res.tv_usec,(int)population->currentEvaluationNb,population->Best->getFitness(),currentAverageFitness,currentSTDEV);
#endif
//printf("%lu\t%ld.%06ld\t%lu\t%f\t%f\t%f\n",currentGeneration,res.tv_sec,res.tv_usec,population->currentEvaluationNb,population->Best->getFitness(),currentAverageFitness,currentSTDEV);
}
......@@ -336,7 +338,7 @@ void CEvolutionaryAlgorithm::showPopulationStats(struct timeval beginTime){
#ifdef WIN32
fprintf(f,"%lu\t%2.6f\t%lu\t%.15e\t%.15e\t%.15e\n",currentGeneration,duration,population->currentEvaluationNb,population->Best->getFitness(),currentAverageFitness,currentSTDEV);
#else
fprintf(f,"%d\t%ld.%06ld\t%d\t%.15e\t%.15e\t%.15e\n",currentGeneration,res.tv_sec,res.tv_usec,population->currentEvaluationNb,population->Best->getFitness(),currentAverageFitness,currentSTDEV);
fprintf(f,"%d\t%ld.%06ld\t%d\t%.15e\t%.15e\t%.15e\n",(int)currentGeneration,res.tv_sec,res.tv_usec,(int)population->currentEvaluationNb,population->Best->getFitness(),currentAverageFitness,currentSTDEV);
#endif
fclose(f);
}
......@@ -352,7 +354,7 @@ void CEvolutionaryAlgorithm::showPopulationStats(struct timeval beginTime){
#ifdef WIN32
fprintf(f,"%lu,%2.6f,%lu,%.15e,%.15e,%.15e\n",currentGeneration,duration,population->currentEvaluationNb,population->Best->getFitness(),currentAverageFitness,currentSTDEV);
#else
fprintf(f,"%d,%ld.%d,%d,%f,%f,%f\n",currentGeneration,res.tv_sec,res.tv_usec,population->currentEvaluationNb,population->Best->getFitness(),currentAverageFitness,currentSTDEV);
fprintf(f,"%d,%ld.%ld,%d,%f,%f,%f\n",(int)currentGeneration,res.tv_sec,res.tv_usec,(int)population->currentEvaluationNb,population->Best->getFitness(),currentAverageFitness,currentSTDEV);
#endif
fclose(f);
}
......@@ -377,7 +379,7 @@ void CEvolutionaryAlgorithm::initializeClients(){
int clientNumber=0;
char (*clients)[16] = (char(*)[16])calloc(1,sizeof(char)*16);
cout << "Reading IP address file" << endl;
cout << "Reading IP address file: " << this->params->ipFile << endl;
ifstream IP_File(this->params->ipFile);
string line;
while(getline(IP_File, line)){
......@@ -392,9 +394,15 @@ void CEvolutionaryAlgorithm::initializeClients(){
}
}
this->Clients = (CComUDPClient**)malloc(this->numberOfClients*sizeof(CComUDPClient*));
for(int i=0; i<(signed)this->numberOfClients; i++){
this->Clients[i] = new CComUDPClient(2909,(const char*)clients[i],0);
if(this->numberOfClients>1){
this->Clients = (CComUDPClient**)malloc(this->numberOfClients*sizeof(CComUDPClient*));
for(int i=0; i<(signed)this->numberOfClients; i++){
this->Clients[i] = new CComUDPClient(2909,(const char*)clients[i],0);
}
}
else{
cout << "***WARNING***\nNo islands to communicate with. Aborting Island Model.\n***WARNING***" << endl;
params->remoteIslandModel=0;
}
free(clients);
}
......@@ -411,7 +419,7 @@ void CEvolutionaryAlgorithm::sendIndividual(){
int client = globalRandomGenerator->getRandomIntMax(this->numberOfClients);
cout << "Going to send and individual to client " << client << endl;
cout << "His IP is " << this->Clients[client]->getIP() << endl;
//cout << "Sending individual " << index << " to client " << client << " nomw" << endl;
//cout << "Sending individual " << index << " to client " << client << " now" << endl;
//cout << this->population->parents[index]->serialize() << endl;
this->Clients[client]->CComUDP_client_send((char*)bBest->serialize().c_str());
......@@ -427,9 +435,12 @@ void CEvolutionaryAlgorithm::receiveIndividuals(){
//Treating all the individuals before continuing
while(this->treatedIndividuals < (unsigned)this->server->nb_data){
//selecting the individual to erase
CSelectionOperator *antiTournament = getSelectionOperator("Tournament",!this->params->minimizing, globalRandomGenerator);
antiTournament->initialize(this->population->parents, 7, this->population->actualParentPopulationSize);
size_t index = antiTournament->selectNext(this->population->actualParentPopulationSize);
//CSelectionOperator *antiTournament = getSelectionOperator("Tournament",!this->params->minimizing, globalRandomGenerator);
//antiTournament->initialize(this->population->parents, 7, this->population->actualParentPopulationSize);
//size_t index = antiTournament->selectNext(this->population->actualParentPopulationSize);
//We're selecting the worst element to replace
size_t index = this->population->getWorstIndividualIndex(this->population->parents);
//cout << "old individual fitness :" << this->population->parents[index]->fitness << endl;
//cout << "old Individual :" << this->population->parents[index]->serialize() << endl;
......@@ -446,7 +457,7 @@ void CEvolutionaryAlgorithm::receiveIndividuals(){
void CEvolutionaryAlgorithm::outputGraph(){
fprintf(this->gnuplot->fWrit,"set term png\n");
fprintf(this->gnuplot->fWrit,"set output \"%s\"\n",params->plotOutputFilename);
fprintf(this->gnuplot->fWrit,"set xrange[0:%d]\n",population->currentEvaluationNb);
fprintf(this->gnuplot->fWrit,"set xrange[0:%d]\n",(int)population->currentEvaluationNb);
fprintf(this->gnuplot->fWrit,"set xlabel \"Number of Evaluations\"\n");
fprintf(this->gnuplot->fWrit,"set ylabel \"Fitness\"\n");
fprintf(this->gnuplot->fWrit,"replot \n");
......@@ -460,7 +471,7 @@ void CEvolutionaryAlgorithm::generateGnuplotScript(){
f = fopen(fichier.c_str(),"a");
fprintf(f,"set term png\n");
fprintf(f,"set output \"%s\"\n",params->plotOutputFilename);
fprintf(f,"set xrange[0:%d]\n",population->currentEvaluationNb);
fprintf(f,"set xrange[0:%d]\n",(int)population->currentEvaluationNb);
fprintf(f,"set xlabel \"Number of Evaluations\"\n");
fprintf(f,"set ylabel \"Fitness\"\n");
fprintf(f,"plot \'%s.dat\' using 3:4 t \'Best Fitness\' w lines, \'%s.dat\' using 3:5 t \'Average\' w lines, \'%s.dat\' using 3:6 t \'StdDev\' w lines\n", params->outputFilename,params->outputFilename,params->outputFilename);
......@@ -475,7 +486,7 @@ void CEvolutionaryAlgorithm::generateRScript(){
fprintf(f,"#Plotting for R\n"),
fprintf(f,"png(\"%s\")\n",params->plotOutputFilename);
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,"plot(0, type = \"n\", main = \"Plot Title\", xlab = \"Number of Evaluations\", ylab = \"Fitness\", xlim = c(0,%d) )\n",(int)population->currentEvaluationNb);
fprintf(f,"grid() # add grid\n");
fprintf(f,"lines(data[,3], data[,4], lty = 1) #draw first dataset\n");
fprintf(f,"lines(data[,3], data[,5], lty = 2) #draw second dataset\n");
......
libeasea/CPopulation.cpp
View file @ 59f6c622
......@@ -251,6 +251,15 @@ void CPopulation::serializePopulation(){
EASEA_File.close();
}
int CPopulation::getWorstIndividualIndex(CIndividual** population){
int index=0;
for(int i=1; i<(signed)this->parentPopulationSize; i++){
if((params->minimizing && (population[i]->fitness > population[index]->fitness)) || (!params->minimizing && (population[i]->fitness < population[index]->fitness)))
index=i;
}
return index;
}
/**
Reduit les populations en faisant l'operation de remplacement.
......
libeasea/include/CPopulation.h
View file @ 59f6c622
......@@ -99,6 +99,7 @@ public:
static void sortRPopulation(CIndividual** population, size_t populationSize);
void serializePopulation();
int getWorstIndividualIndex(CIndividual** population);
void sortParentPopulation(){ CPopulation::sortPopulation(parents,actualParentPopulationSize);}
......
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