Initial import.

git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1986 331e1502-861f-0410-8da2-ba01fb791d7f
This commit is contained in:
boufaras 2010-11-03 10:21:45 +00:00
commit f1f07fe2a8
48 changed files with 6126 additions and 0 deletions

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###############################################################################
##
## CMakeLists file for OneMax Example/application
##
###############################################################################
######################################################################################
### 1) Include the sources
######################################################################################
INCLUDE_DIRECTORIES(
# include CUDA source directory
${CUDA_SRC_DIR}
# include NVIDIA source directory
${NVIDIA_SRC_DIR}
# include EO source directory
${PARADISEO_EO_SRC_DIR}/src
# include MO source directory
${PARADISEO_MO_SRC_DIR}/src
# include problems directory
${PARADISEO_PROBLEMS_SRC_DIR}
# include GPU directory
${PARADISEO_GPU_SRC_DIR}
# include your source directory
${CMAKE_CURRENT_SOURCE_DIR}/../src
)
######################################################################################
######################################################################################
### 2) Specify where CMake can find the libraries
######################################################################################
LINK_DIRECTORIES(${PARADISEO_EO_BIN_DIR}/lib ${NVIDIA_LIB_DIR} ${CUDA_LIB_DIR} )
######################################################################################
######################################################################################
### 3) Define your targets and link the librairies
######################################################################################
#CUDA_ADD_EXECUTABLE(Cutest test.cu)
CUDA_ADD_EXECUTABLE(CutestFirstImpr testFirstImpr.cu)
CUDA_ADD_EXECUTABLE(CutestNeutralHC testNeutralHC.cu)
CUDA_ADD_EXECUTABLE(CutestSimpleHC testSimpleHC.cu)
CUDA_ADD_EXECUTABLE(CutestSimpleTS testSimpleTS.cu)
CUDA_ADD_EXECUTABLE(CutestSimulatedAnnealing testSimulatedAnnealing.cu)
CUDA_ADD_EXECUTABLE(CutestKswapHC testKswapHC.cu)
#TARGET_LINK_LIBRARIES(Cutest eoutils ga eo libcutil.a)
TARGET_LINK_LIBRARIES(CutestFirstImpr eoutils ga eo libcutil.a)
TARGET_LINK_LIBRARIES(CutestNeutralHC eoutils ga eo libcutil.a)
TARGET_LINK_LIBRARIES(CutestSimpleHC eoutils ga eo libcutil.a)
TARGET_LINK_LIBRARIES(CutestSimpleTS eoutils ga eo libcutil.a)
TARGET_LINK_LIBRARIES(CutestSimulatedAnnealing eoutils ga eo libcutil.a)
TARGET_LINK_LIBRARIES(CutestKswapHC eoutils ga eo libcutil.a)
######################################################################################

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//Init the number of threads per block
#define BLOCK_SIZE 128
#include <iostream>
#include <stdlib.h>
using namespace std;
// The general include for eo
#include <eo>
#include <ga.h>
// Fitness function
#include <problems/eval/EvalOneMax.h>
// Cuda Fitness function
#include <eval/moCudaVectorEval.h>
#include <problems/eval/OneMaxIncrEval.h>
// One Max solution
#include <cudaType/moCudaBitVector.h>
//To compute execution time
#include <performance/moCudaTimer.h>
// One Max neighbor
#include <neighborhood/moCudaBitNeighbor.h>
// One Max ordered neighborhood
#include <neighborhood/moCudaOrderNeighborhood.h>
// The Solution and neighbor comparator
#include <comparator/moNeighborComparator.h>
#include <comparator/moSolNeighborComparator.h>
// The continuator
#include <continuator/moTrueContinuator.h>
// Local search algorithm
#include <algo/moLocalSearch.h>
// First improvment algorithm
#include <algo/moFirstImprHC.h>
// The First Improvment algorithm explorer
#include <explorer/moFirstImprHCexplorer.h>
// REPRESENTATION
typedef moCudaBitVector<eoMaximizingFitness> solution;
typedef moCudaBitNeighbor <solution,eoMaximizingFitness> Neighbor;
typedef moCudaOrderNeighborhood<Neighbor> Neighborhood;
void main_function(int argc, char **argv)
{
/* =========================================================
*
* Parameters
*
* ========================================================= */
// First define a parser from the command-line arguments
eoParser parser(argc, argv);
// For each parameter, define Parameter, read it through the parser,
// and assign the value to the variable
// seed
eoValueParam<uint32_t> seedParam(time(0), "seed", "Random number seed", 'S');
parser.processParam( seedParam );
unsigned seed = seedParam.value();
// description of genotype
eoValueParam<unsigned int> vecSizeParam(8, "vecSize", "Genotype size", 'V');
parser.processParam( vecSizeParam, "Representation" );
unsigned vecSize = vecSizeParam.value();
// the name of the "status" file where all actual parameter values will be saved
string str_status = parser.ProgramName() + ".status"; // default value
eoValueParam<string> statusParam(str_status.c_str(), "status", "Status file");
parser.processParam( statusParam, "Persistence" );
// do the following AFTER ALL PARAMETERS HAVE BEEN PROCESSED
// i.e. in case you need parameters somewhere else, postpone these
if (parser.userNeedsHelp()) {
parser.printHelp(cout);
exit(1);
}
if (statusParam.value() != "") {
ofstream os(statusParam.value().c_str());
os << parser;// and you can use that file as parameter file
}
/* =========================================================
*
* Random seed
*
* ========================================================= */
//reproducible random seed: if you don't change SEED above,
// you'll aways get the same result, NOT a random run
rng.reseed(seed);
int seed1=time(0);
srand(seed1);
/* =========================================================
*
* Initilisation of the solution
*
* ========================================================= */
solution sol(vecSize);
if(vecSize<64)
for(unsigned i=0;i<vecSize;i++) cout<<sol[i]<<" ";
cout<<endl;
/* =========================================================
*
* Eval fitness function
*
* ========================================================= */
EvalOneMax<solution> eval;
/* =========================================================
*
* Evaluation of a solution neighbor's
*
* ========================================================= */
OneMaxIncrEval<Neighbor> incr_eval;
moCudaVectorEval<Neighbor,OneMaxIncrEval<Neighbor> > cueval(vecSize,incr_eval);
/* =========================================================
*
* Comparator of solutions and neighbors
*
* ========================================================= */
moNeighborComparator<Neighbor> comparator;
moSolNeighborComparator<Neighbor> solComparator;
/* =========================================================
*
* a solution neighborhood
*
* ========================================================= */
Neighborhood neighborhood(vecSize,cueval);
/* =========================================================
*
* An explorer of solution neighborhood's
*
* ========================================================= */
moFirstImprHCexplorer<Neighbor> explorer(neighborhood, cueval, comparator, solComparator);
/* =========================================================
*
* The local search algorithm
*
* ========================================================= */
// True continuator <=> Always continue
moTrueContinuator<Neighbor> continuator;
moLocalSearch<Neighbor> localSearch(explorer,continuator, eval);
/* =========================================================
*
* The First improvment algorithm
*
* ========================================================= */
moFirstImprHC<Neighbor> firstImprHC(neighborhood,eval,cueval);
/* =========================================================
*
* Execute the local search from random sollution
*
* ========================================================= */
//Can be eval here, else it will be done at the beginning of the localSearch
eval(sol);
std::cout << "initial: " << sol.fitness()<< std::endl;
moCudaTimer timer;
timer.start();
localSearch(sol);
timer.stop();
printf("CUDA execution time = %f ms\n",timer.getTime());
timer.deleteTimer();
std::cout << "final: " << sol.fitness() << std::endl;
/* =========================================================
*
* Execute the first improvment from random sollution
*
* ========================================================= */
solution sol1(vecSize);
if(vecSize<64)
for(unsigned i=0;i<vecSize;i++) cout<<sol1[i]<<" ";
cout<<endl;
cout<<endl;
eval(sol1);
std::cout << "initial: " << sol1.fitness()<< std::endl;
moCudaTimer timer1;
timer1.start();
firstImprHC(sol1);
timer1.stop();
printf("CUDA execution time = %f ms\n",timer1.getTime());
timer1.deleteTimer();
std::cout << "final: " << sol1.fitness() << std::endl;
}
// A main that catches the exceptions
int main(int argc, char **argv)
{
try{
main_function(argc, argv);
}
catch(exception& e){
cout << "Exception: " << e.what() << '\n';
}
return 1;
}

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//Init the number of threads per block
#define BLOCK_SIZE 128
#include <iostream>
#include <stdlib.h>
using namespace std;
// The general include for eo
#include <eo>
#include <ga.h>
// Fitness function
#include <problems/eval/EvalOneMax.h>
// Cuda Fitness function
#include <eval/moCudaVectorEval.h>
#include <problems/eval/OneMaxIncrEval.h>
// One Max solution
#include <cudaType/moCudaBitVector.h>
//To compute execution time
#include <performance/moCudaTimer.h>
// One Max neighbor
#include <neighborhood/moCudaBitNeighbor.h>
// One Max ordered neighborhood
#include <neighborhood/moCudaOrderNeighborhood.h>
// The Solution and neighbor comparator
#include <comparator/moNeighborComparator.h>
#include <comparator/moSolNeighborComparator.h>
// The continuator
#include <continuator/moTrueContinuator.h>
// Simple HC algorithm
#include <algo/moNeutralHC.h>
// REPRESENTATION
typedef moCudaBitVector<eoMaximizingFitness> solution;
typedef moCudaBitNeighbor <solution,eoMaximizingFitness> Neighbor;
typedef moCudaOrderNeighborhood<Neighbor> Neighborhood;
void main_function(int argc, char **argv)
{
/* =========================================================
*
* Parameters
*
* ========================================================= */
// First define a parser from the command-line arguments
eoParser parser(argc, argv);
// For each parameter, define Parameter, read it through the parser,
// and assign the value to the variable
// seed
eoValueParam<uint32_t> seedParam(time(0), "seed", "Random number seed", 'S');
parser.processParam( seedParam );
unsigned seed = seedParam.value();
// description of genotype
eoValueParam<unsigned int> vecSizeParam(8, "vecSize", "Genotype size", 'V');
parser.processParam( vecSizeParam, "Representation" );
unsigned vecSize = vecSizeParam.value();
//nbStep maximum step to do
eoValueParam<unsigned int> nbStepParam(10, "nbStep", "maximum number of step", 'N');
parser.processParam( nbStepParam, "numberStep" );
unsigned nbStep = nbStepParam.value();
// the name of the "status" file where all actual parameter values will be saved
string str_status = parser.ProgramName() + ".status"; // default value
eoValueParam<string> statusParam(str_status.c_str(), "status", "Status file");
parser.processParam( statusParam, "Persistence" );
// do the following AFTER ALL PARAMETERS HAVE BEEN PROCESSED
// i.e. in case you need parameters somewhere else, postpone these
if (parser.userNeedsHelp()) {
parser.printHelp(cout);
exit(1);
}
if (statusParam.value() != "") {
ofstream os(statusParam.value().c_str());
os << parser;// and you can use that file as parameter file
}
/* =========================================================
*
* Random seed
*
* ========================================================= */
//reproducible random seed: if you don't change SEED above,
// you'll aways get the same result, NOT a random run
rng.reseed(seed);
/* =========================================================
*
* Initilisation of the solution
*
* ========================================================= */
solution sol(vecSize);
if(vecSize<64)
for(unsigned i=0;i<vecSize;i++) cout<<sol[i]<<" ";
cout<<endl;
/* =========================================================
*
* Eval fitness function
*
* ========================================================= */
EvalOneMax<solution> eval;
/* =========================================================
*
* Evaluation of a solution neighbor's
*
* ========================================================= */
OneMaxIncrEval<Neighbor> incr_eval;
moCudaVectorEval<Neighbor,OneMaxIncrEval<Neighbor> > cueval(vecSize,incr_eval);
/* =========================================================
*
* Comparator of solutions and neighbors
*
* ========================================================= */
moNeighborComparator<Neighbor> comparator;
moSolNeighborComparator<Neighbor> solComparator;
/* =========================================================
*
* a solution neighborhood
*
* ========================================================= */
Neighborhood neighborhood(vecSize,cueval);
/* =========================================================
*
* The simple Hill Climbing algorithm
*
* ========================================================= */
//True continuator <=> Always continue
moTrueContinuator<Neighbor> continuator;
moNeutralHC<Neighbor> neutralHC(neighborhood,eval,cueval,nbStep,continuator);
/* =========================================================
*
* Execute the neutralHill climbing from random sollution
*
* ========================================================= */
eval(sol);
std::cout << "initial: " << sol.fitness()<< std::endl;
moCudaTimer timer;
timer.start();
neutralHC(sol);
timer.stop();
printf("CUDA execution time = %f ms\n",timer.getTime());
timer.deleteTimer();
std::cout << "final: " << sol.fitness() << std::endl;
}
// A main that catches the exceptions
int main(int argc, char **argv)
{
try{
main_function(argc, argv);
}
catch(exception& e){
cout << "Exception: " << e.what() << '\n';
}
return 1;
}

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//Init the number of threads per block
#define BLOCK_SIZE 128
#include <iostream>
#include <stdlib.h>
using namespace std;
// The general include for eo
#include <eo>
#include <ga.h>
// Fitness function
#include <problems/eval/EvalOneMax.h>
// Cuda Fitness function
#include <eval/moCudaVectorEval.h>
#include <problems/eval/OneMaxIncrEval.h>
// One Max solution
#include <cudaType/moCudaBitVector.h>
// One Max neighbor
#include <neighborhood/moCudaBitNeighbor.h>
//To compute execution time
#include <performance/moCudaTimer.h>
// One Max ordered neighborhood
#include <neighborhood/moCudaOrderNeighborhood.h>
// The Solution and neighbor comparator
#include <comparator/moNeighborComparator.h>
#include <comparator/moSolNeighborComparator.h>
// The continuator
#include <continuator/moTrueContinuator.h>
// Local search algorithm
#include <algo/moLocalSearch.h>
// Simple HC algorithm
#include <algo/moSimpleHC.h>
// The simple HC algorithm explorer
#include <explorer/moSimpleHCexplorer.h>
// REPRESENTATION
typedef moCudaBitVector<eoMaximizingFitness> solution;
typedef moCudaBitNeighbor <solution> Neighbor;
typedef moCudaOrderNeighborhood<Neighbor> Neighborhood;
void main_function(int argc, char **argv)
{
/* =========================================================
*
* Parameters
*
* ========================================================= */
// First define a parser from the command-line arguments
eoParser parser(argc, argv);
// For each parameter, define Parameter, read it through the parser,
// and assign the value to the variable
// seed
eoValueParam<uint32_t> seedParam(time(0), "seed", "Random number seed", 'S');
parser.processParam( seedParam );
unsigned seed = seedParam.value();
// description of genotype
eoValueParam<unsigned int> vecSizeParam(8, "vecSize", "Genotype size", 'V');
parser.processParam( vecSizeParam, "Representation" );
unsigned vecSize = vecSizeParam.value();
// the name of the "status" file where all actual parameter values will be saved
string str_status = parser.ProgramName() + ".status"; // default value
eoValueParam<string> statusParam(str_status.c_str(), "status", "Status file");
parser.processParam( statusParam, "Persistence" );
// do the following AFTER ALL PARAMETERS HAVE BEEN PROCESSED
// i.e. in case you need parameters somewhere else, postpone these
if (parser.userNeedsHelp()) {
parser.printHelp(cout);
exit(1);
}
if (statusParam.value() != "") {
ofstream os(statusParam.value().c_str());
os << parser;// and you can use that file as parameter file
}
/* =========================================================
*
* Random seed
*
* ========================================================= */
//reproducible random seed: if you don't change SEED above,
// you'll aways get the same result, NOT a random run
rng.reseed(seed);
/* =========================================================
*
* Initilisation of the solution
*
* ========================================================= */
solution sol(vecSize);
if(vecSize<64)
for(unsigned i=0;i<vecSize;i++) cout<<sol[i]<<" ";
cout<<endl;
/* =========================================================
*
* Eval fitness function
*
* ========================================================= */
EvalOneMax<solution> eval;
/* =========================================================
*
* Evaluation of a solution neighbor's
*
* ========================================================= */
OneMaxIncrEval<Neighbor> incr_eval;
moCudaVectorEval<Neighbor,OneMaxIncrEval<Neighbor> > cueval(vecSize,incr_eval);
/* =========================================================
*
* Comparator of solutions and neighbors
*
* ========================================================= */
moNeighborComparator<Neighbor> comparator;
moSolNeighborComparator<Neighbor> solComparator;
/* =========================================================
*
* a solution neighborhood
*
* ========================================================= */
Neighborhood neighborhood(vecSize,cueval);
/* =========================================================
*
* An explorer of solution neighborhood's
*
* ========================================================= */
moSimpleHCexplorer<Neighbor> explorer(neighborhood, cueval,
comparator, solComparator);
/* =========================================================
*
* The local search algorithm
*
* ========================================================= */
//True continuator <=> Always continue
moTrueContinuator<Neighbor> continuator;
moLocalSearch<Neighbor> localSearch(explorer,continuator, eval);
/* =========================================================
*
* The simple Hill Climbing algorithm
*
* ========================================================= */
moSimpleHC<Neighbor> simpleHC(neighborhood,eval,cueval);
/* =========================================================
*
* Execute the local search from random sollution
*
* ========================================================= */
//Can be eval here, else it will be done at the beginning of the localSearch
eval(sol);
std::cout << "initial: " << sol.fitness()<< std::endl;
// Create timer for timing CUDA calculation
moCudaTimer timer;
timer.start();
localSearch(sol);
timer.stop();
printf("CUDA execution time = %f ms\n",timer.getTime());
timer.deleteTimer();
std::cout << "final: " << sol.fitness() << std::endl;
/* =========================================================
*
* Execute the Simple Hill climbing from random sollution
*
* ========================================================= */
solution sol1(vecSize);
if(vecSize<64)
for(unsigned i=0;i<vecSize;i++) cout<<sol1[i]<<" ";
cout<<endl;
cout<<endl;
eval(sol1);
std::cout << "initial: " << sol1.fitness()<< std::endl;
// Create timer for timing CUDA calculation
moCudaTimer timer1;
timer1.start();
simpleHC(sol1);
timer1.stop();
printf("CUDA execution time = %f ms\n",timer1.getTime());
timer1.deleteTimer();
std::cout << "final: " << sol1.fitness() << std::endl;
}
// A main that catches the exceptions
int main(int argc, char **argv)
{
try{
main_function(argc, argv);
}
catch(exception& e){
cout << "Exception: " << e.what() << '\n';
}
return 1;
}

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//Init the number of threads per block
#define BLOCK_SIZE 128
#include <iostream>
#include <stdlib.h>
using namespace std;
// The general include for eo
#include <eo>
#include <ga.h>
// Fitness function
#include <problems/eval/EvalOneMax.h>
// Cuda Fitness function
#include <eval/moCudaVectorEval.h>
#include <problems/eval/OneMaxIncrEval.h>
// One Max solution
#include <cudaType/moCudaBitVector.h>
//To compute execution time
#include <performance/moCudaTimer.h>
// One Max neighbor
#include <neighborhood/moCudaBitNeighbor.h>
// One Max ordered neighborhood
#include <neighborhood/moCudaOrderNeighborhood.h>
// The Solution and neighbor comparator
#include <comparator/moNeighborComparator.h>
#include <comparator/moSolNeighborComparator.h>
// The time continuator
#include <continuator/moTimeContinuator.h>
// Local search algorithm
#include <algo/moLocalSearch.h>
// The Tabou Search algorithm explorer
#include <explorer/moTSexplorer.h>
//Algorithm and its components
#include <algo/moTS.h>
//Tabu list
#include <memory/moNeighborVectorTabuList.h>
//Memories
#include <memory/moDummyIntensification.h>
#include <memory/moDummyDiversification.h>
#include <memory/moBestImprAspiration.h>
// REPRESENTATION
typedef moCudaBitVector<eoMaximizingFitness> solution;
typedef moCudaBitNeighbor <solution,eoMaximizingFitness> Neighbor;
typedef moCudaOrderNeighborhood<Neighbor> Neighborhood;
void main_function(int argc, char **argv)
{
/* =========================================================
*
* Parameters
*
* ========================================================= */
// First define a parser from the command-line arguments
eoParser parser(argc, argv);
// For each parameter, define Parameter, read it through the parser,
// and assign the value to the variable
// seed
eoValueParam<uint32_t> seedParam(time(0), "seed", "Random number seed", 'S');
parser.processParam( seedParam );
unsigned seed = seedParam.value();
// description of genotype
eoValueParam<unsigned int> vecSizeParam(8, "vecSize", "Genotype size", 'V');
parser.processParam( vecSizeParam, "Representation" );
unsigned vecSize = vecSizeParam.value();
// size tabu list
eoValueParam<unsigned int> sizeTabuListParam(7, "sizeTabuList", "size of the tabu list", 'T');
parser.processParam( sizeTabuListParam, "Search Parameters" );
unsigned sizeTabuList = sizeTabuListParam.value();
// time Limit
eoValueParam<unsigned int> timeLimitParam(1, "timeLimit", "time limits", 't');
parser.processParam( timeLimitParam, "Search Parameters" );
unsigned timeLimit = timeLimitParam.value();
// the name of the "status" file where all actual parameter values will be saved
string str_status = parser.ProgramName() + ".status"; // default value
eoValueParam<string> statusParam(str_status.c_str(), "status", "Status file");
parser.processParam( statusParam, "Persistence" );
// do the following AFTER ALL PARAMETERS HAVE BEEN PROCESSED
// i.e. in case you need parameters somewhere else, postpone these
if (parser.userNeedsHelp()) {
parser.printHelp(cout);
exit(1);
}
if (statusParam.value() != "") {
ofstream os(statusParam.value().c_str());
os << parser;// and you can use that file as parameter file
}
/* =========================================================
*
* Random seed
*
* ========================================================= */
//reproducible random seed: if you don't change SEED above,
// you'll aways get the same result, NOT a random run
rng.reseed(seed);
/* =========================================================
*
* Eval fitness function
*
* ========================================================= */
EvalOneMax<solution> eval;
/* =========================================================
*
* Evaluation of a solution neighbor's
*
* ========================================================= */
OneMaxIncrEval<Neighbor> incr_eval;
moCudaVectorEval<Neighbor,OneMaxIncrEval<Neighbor> > cueval(vecSize,incr_eval);
/* =========================================================
*
* Comparator of solutions and neighbors
*
* ========================================================= */
moNeighborComparator<Neighbor> comparator;
moSolNeighborComparator<Neighbor> solComparator;
/* =========================================================
*
* a solution neighborhood
*
* ========================================================= */
Neighborhood neighborhood(vecSize,cueval);
/* =========================================================
*
* continuator
*
* ========================================================= */
moTimeContinuator <Neighbor> continuator(timeLimit);
/* =========================================================
*
* tabu list
*
* ========================================================= */
//moNeighborVectorTabuList<shiftNeighbor> tl(sizeTabuList,0);
// tabu list
moNeighborVectorTabuList<Neighbor> tl(sizeTabuList,0);
/* =========================================================
*
* Memories
*
* ========================================================= */
moDummyIntensification<Neighbor> inten;
moDummyDiversification<Neighbor> div;
moBestImprAspiration<Neighbor> asp;
/* =========================================================
*
* An explorer of solution neighborhood's
*
* ========================================================= */
moTSexplorer<Neighbor> explorer(neighborhood, cueval, comparator, solComparator, tl, inten, div, asp);
/* =========================================================
*
* the local search algorithm
*
* ========================================================= */
moLocalSearch<Neighbor> localSearch1(explorer, continuator, eval);
//Basic Constructor
moTS<Neighbor> localSearch2(neighborhood,eval, cueval, 2, 7);
//Simple Constructor
moTS<Neighbor> localSearch3(neighborhood, eval, cueval, 5, tl);
//General Constructor
moTS<Neighbor> localSearch4(neighborhood, eval, cueval, comparator, solComparator, continuator, tl, inten, div, asp);
/* =========================================================
*
* Execute the local search(TS) from random sollution
*
* ========================================================= */
//Initilisation of the solution
solution sol1(vecSize);
eval(sol1);
std::cout << "Tabu Search 1:" << std::endl;
std::cout << "---------------------" << std::endl;
std::cout << "initial: " << sol1.fitness()<< std::endl;
moCudaTimer timer1;
timer1.start();
localSearch1(sol1);
timer1.stop();
printf("CUDA execution time = %f ms\n",timer1.getTime());
timer1.deleteTimer();
std::cout << "final: " << sol1.fitness() << std::endl<<std::endl;
/* =========================================================
*
* Execute the TS Basic Constructor
*
* ========================================================= */
solution sol2(vecSize);
eval(sol2);
std::cout << "Tabu Search 2:" << std::endl;
std::cout << "---------------------" << std::endl;
std::cout << "initial: " << sol2.fitness()<< std::endl;
moCudaTimer timer2;
timer2.start();
localSearch2(sol2);
timer2.stop();
printf("CUDA execution time = %f ms\n",timer2.getTime());
timer2.deleteTimer();
std::cout << "final: " << sol2.fitness() << std::endl<< std::endl;
/* =========================================================
*
* Execute the TS Simple Constructor
*
* ========================================================= */
solution sol3(vecSize);
eval(sol3);
std::cout << "Tabu Search 3:" << std::endl;
std::cout << "---------------------" << std::endl;
std::cout << "initial: " << sol3.fitness()<< std::endl;
moCudaTimer timer3;
timer3.start();
localSearch3(sol3);
timer3.stop();
printf("CUDA execution time = %f ms\n",timer3.getTime());
timer3.deleteTimer();
std::cout << "final: " << sol3.fitness() << std::endl<< std::endl;
/* =========================================================
*
* Execute the TS General Constructor
*
* ========================================================= */
solution sol4(vecSize);
eval(sol4);
std::cout << "Tabu Search 4:" << std::endl;
std::cout << "---------------------" << std::endl;
std::cout << "initial: " << sol4.fitness()<< std::endl;
moCudaTimer timer4;
timer4.start();
localSearch4(sol4);
timer4.stop();
printf("CUDA execution time = %f ms\n",timer4.getTime());
timer4.deleteTimer();
std::cout << "final: " << sol4.fitness() << std::endl<< std::endl;
}
// A main that catches the exceptions
int main(int argc, char **argv)
{
try{
main_function(argc, argv);
}
catch(exception& e){
cout << "Exception: " << e.what() << '\n';
}
return 1;
}

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///Init the number of threads per block
#define BLOCK_SIZE 128
//-----------------------------------------------------------------------------
#include <iostream>
#include <stdlib.h>
using namespace std;
// The general include for eo
#include <eo>
#include <ga.h>
// Fitness function
#include <problems/eval/EvalOneMax.h>
// Cuda Fitness function
#include <eval/moCudaVectorEval.h>
#include <problems/eval/OneMaxIncrEval.h>
// One Max solution
#include <cudaType/moCudaBitVector.h>
//To compute execution time
#include <performance/moCudaTimer.h>
// One Max neighbor
#include <neighborhood/moCudaBitNeighbor.h>
// One Max ordered neighborhood
#include <neighborhood/moCudaRndWithReplNeighborhood.h>
//Algorithm and its components
#include <coolingSchedule/moCoolingSchedule.h>
#include <algo/moSA.h>
// The simulated annealing algorithm explorer
#include <explorer/moSAexplorer.h>
//comparator
#include <comparator/moSolNeighborComparator.h>
//continuators
#include <continuator/moTrueContinuator.h>
#include <continuator/moCheckpoint.h>
#include <continuator/moFitnessStat.h>
#include <utils/eoFileMonitor.h>
#include <continuator/moCounterMonitorSaver.h>
//-----------------------------------------------------------------------------
// Define types of the representation solution, different neighbors and neighborhoods
//-----------------------------------------------------------------------------
// REPRESENTATION
typedef moCudaBitVector<eoMaximizingFitness> solution;
typedef moCudaBitNeighbor <solution,eoMaximizingFitness> Neighbor;
typedef moCudaRndWithReplNeighborhood<Neighbor> Neighborhood;
void main_function(int argc, char **argv)
{
/* =========================================================
*
* Parameters
*
* ========================================================= */
// First define a parser from the command-line arguments
eoParser parser(argc, argv);
// For each parameter, define Parameter, read it through the parser,
// and assign the value to the variable
eoValueParam<uint32_t> seedParam(time(0), "seed", "Random number seed", 'S');
parser.processParam( seedParam );
unsigned seed = seedParam.value();
// description of genotype
eoValueParam<unsigned int> vecSizeParam(8, "vecSize", "Genotype size", 'V');
parser.processParam( vecSizeParam, "Representation" );
unsigned vecSize = vecSizeParam.value();
// the name of the "status" file where all actual parameter values will be saved
string str_status = parser.ProgramName() + ".status"; // default value
eoValueParam<string> statusParam(str_status.c_str(), "status", "Status file");
parser.processParam( statusParam, "Persistence" );
// do the following AFTER ALL PARAMETERS HAVE BEEN PROCESSED
// i.e. in case you need parameters somewhere else, postpone these
if (parser.userNeedsHelp()) {
parser.printHelp(cout);
exit(1);
}
if (statusParam.value() != "") {
ofstream os(statusParam.value().c_str());
os << parser;// and you can use that file as parameter file
}
/* =========================================================
*
* Random seed
*
* ========================================================= */
//reproducible random seed: if you don't change SEED above,
// you'll always get the same result, NOT a random run
rng.reseed(seed);
/* =========================================================
*
* Initilisation of the solution
*
* ========================================================= */
//solution sol(size);
solution sol(vecSize);
for(int i=0;i<vecSize;i++) cout<<sol[i]<<" ";
cout<<endl;
/* =========================================================
*
* Eval fitness function
*
* ========================================================= */
EvalOneMax<solution> eval;
/* =========================================================
*
* Evaluation of a solution neighbor's
*
* ========================================================= */
OneMaxIncrEval<Neighbor> incr_eval;
moCudaVectorEval<Neighbor,OneMaxIncrEval<Neighbor> > cueval(vecSize,incr_eval);
/* =========================================================
*
* Comparator of solutions and neighbors
*
* ========================================================= */
// moNeighborComparator<Neighbor> comparator;
moSolNeighborComparator<Neighbor> solComparator;
/* =========================================================
*
* a solution neighborhood
*
* ========================================================= */
Neighborhood neighborhood(vecSize,cueval);
/* =========================================================
*
* the cooling schedule of the process
*
* ========================================================= */
// initial temp, factor of decrease, number of steps without decrease, final temp.
moSimpleCoolingSchedule<solution> coolingSchedule(500, 0.9, 1000, 0.01);
/* =========================================================
*
* the local search algorithm
*
* ========================================================= */
moSA<Neighbor> localSearch1(neighborhood, eval, cueval,coolingSchedule);
/* =========================================================
*
* execute the local search from random solution
*
* ========================================================= */
//init(solution);
eval(sol);
std::cout << "#########################################" << std::endl;
std::cout << "initial solution1: " << sol.fitness() << std::endl;
localSearch1(sol);
std::cout << "final solution1: " << sol.fitness() << std::endl;
std::cout << "#########################################" << std::endl;
/* =========================================================
*
* Comparator of neighbors
*
* ========================================================= */
// moSolNeighborComparator<Neighbor> solComparator;
/* =========================================================
*
* Example of Checkpointing
*
* ========================================================= */
/*moTrueContinuator<Neighbor> continuator;//always continue
moCheckpoint<Neighbor> checkpoint(continuator);
moFitnessStat<solution> fitStat;
checkpoint.add(fitStat);
eoFileMonitor monitor("fitness.out", "");
moCounterMonitorSaver countMon(100, monitor);
checkpoint.add(countMon);
monitor.add(fitStat);
moSA<Neighbor> localSearch2(neighborhood, eval, cueval, coolingSchedule, solComparator, checkpoint);
eval(sol1);
for(int i=0;i<vecSize;i++) cout<<sol1[i]<<" ";
cout<<endl;
std::cout << "#########################################" << std::endl;
std::cout << "initial solution2: " << sol1.fitness() << std::endl ;
localSearch2(sol);
std::cout << "final solution2: " << sol1.fitness() << std::endl ;
std::cout << "#########################################" << std::endl;*/
}
// A main that catc hes the exceptions
int main(int argc, char **argv)
{
try {
main_function(argc, argv);
}
catch (exception& e) {
cout << "Exception: " << e.what() << '\n';
}
return 1;
}