Initial import.
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@1986 331e1502-861f-0410-8da2-ba01fb791d7f
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60
ParadisEO-GPU/tutoriel/OneMax/CMakeLists.txt
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60
ParadisEO-GPU/tutoriel/OneMax/CMakeLists.txt
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###############################################################################
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##
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## CMakeLists file for OneMax Example/application
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##
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###############################################################################
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######################################################################################
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### 1) Include the sources
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######################################################################################
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INCLUDE_DIRECTORIES(
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# include CUDA source directory
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${CUDA_SRC_DIR}
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# include NVIDIA source directory
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${NVIDIA_SRC_DIR}
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# include EO source directory
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${PARADISEO_EO_SRC_DIR}/src
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# include MO source directory
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${PARADISEO_MO_SRC_DIR}/src
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# include problems directory
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${PARADISEO_PROBLEMS_SRC_DIR}
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# include GPU directory
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${PARADISEO_GPU_SRC_DIR}
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# include your source directory
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${CMAKE_CURRENT_SOURCE_DIR}/../src
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)
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######################################################################################
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######################################################################################
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### 2) Specify where CMake can find the libraries
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######################################################################################
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LINK_DIRECTORIES(${PARADISEO_EO_BIN_DIR}/lib ${NVIDIA_LIB_DIR} ${CUDA_LIB_DIR} )
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######################################################################################
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######################################################################################
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### 3) Define your targets and link the librairies
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######################################################################################
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#CUDA_ADD_EXECUTABLE(Cutest test.cu)
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CUDA_ADD_EXECUTABLE(CutestFirstImpr testFirstImpr.cu)
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CUDA_ADD_EXECUTABLE(CutestNeutralHC testNeutralHC.cu)
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CUDA_ADD_EXECUTABLE(CutestSimpleHC testSimpleHC.cu)
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CUDA_ADD_EXECUTABLE(CutestSimpleTS testSimpleTS.cu)
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CUDA_ADD_EXECUTABLE(CutestSimulatedAnnealing testSimulatedAnnealing.cu)
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CUDA_ADD_EXECUTABLE(CutestKswapHC testKswapHC.cu)
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#TARGET_LINK_LIBRARIES(Cutest eoutils ga eo libcutil.a)
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TARGET_LINK_LIBRARIES(CutestFirstImpr eoutils ga eo libcutil.a)
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TARGET_LINK_LIBRARIES(CutestNeutralHC eoutils ga eo libcutil.a)
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TARGET_LINK_LIBRARIES(CutestSimpleHC eoutils ga eo libcutil.a)
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TARGET_LINK_LIBRARIES(CutestSimpleTS eoutils ga eo libcutil.a)
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TARGET_LINK_LIBRARIES(CutestSimulatedAnnealing eoutils ga eo libcutil.a)
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TARGET_LINK_LIBRARIES(CutestKswapHC eoutils ga eo libcutil.a)
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######################################################################################
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222
ParadisEO-GPU/tutoriel/OneMax/testFirstImpr.cu
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222
ParadisEO-GPU/tutoriel/OneMax/testFirstImpr.cu
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//Init the number of threads per block
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#define BLOCK_SIZE 128
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#include <iostream>
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#include <stdlib.h>
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using namespace std;
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// The general include for eo
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#include <eo>
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#include <ga.h>
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// Fitness function
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#include <problems/eval/EvalOneMax.h>
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// Cuda Fitness function
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#include <eval/moCudaVectorEval.h>
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#include <problems/eval/OneMaxIncrEval.h>
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// One Max solution
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#include <cudaType/moCudaBitVector.h>
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//To compute execution time
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#include <performance/moCudaTimer.h>
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// One Max neighbor
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#include <neighborhood/moCudaBitNeighbor.h>
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// One Max ordered neighborhood
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#include <neighborhood/moCudaOrderNeighborhood.h>
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// The Solution and neighbor comparator
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#include <comparator/moNeighborComparator.h>
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#include <comparator/moSolNeighborComparator.h>
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// The continuator
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#include <continuator/moTrueContinuator.h>
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// Local search algorithm
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#include <algo/moLocalSearch.h>
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// First improvment algorithm
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#include <algo/moFirstImprHC.h>
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// The First Improvment algorithm explorer
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#include <explorer/moFirstImprHCexplorer.h>
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// REPRESENTATION
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typedef moCudaBitVector<eoMaximizingFitness> solution;
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typedef moCudaBitNeighbor <solution,eoMaximizingFitness> Neighbor;
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typedef moCudaOrderNeighborhood<Neighbor> Neighborhood;
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void main_function(int argc, char **argv)
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{
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/* =========================================================
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*
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* Parameters
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*
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* ========================================================= */
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// First define a parser from the command-line arguments
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eoParser parser(argc, argv);
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// For each parameter, define Parameter, read it through the parser,
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// and assign the value to the variable
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// seed
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eoValueParam<uint32_t> seedParam(time(0), "seed", "Random number seed", 'S');
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parser.processParam( seedParam );
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unsigned seed = seedParam.value();
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// description of genotype
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eoValueParam<unsigned int> vecSizeParam(8, "vecSize", "Genotype size", 'V');
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parser.processParam( vecSizeParam, "Representation" );
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unsigned vecSize = vecSizeParam.value();
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// the name of the "status" file where all actual parameter values will be saved
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string str_status = parser.ProgramName() + ".status"; // default value
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eoValueParam<string> statusParam(str_status.c_str(), "status", "Status file");
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parser.processParam( statusParam, "Persistence" );
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// do the following AFTER ALL PARAMETERS HAVE BEEN PROCESSED
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// i.e. in case you need parameters somewhere else, postpone these
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if (parser.userNeedsHelp()) {
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parser.printHelp(cout);
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exit(1);
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}
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if (statusParam.value() != "") {
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ofstream os(statusParam.value().c_str());
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os << parser;// and you can use that file as parameter file
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}
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/* =========================================================
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*
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* Random seed
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*
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* ========================================================= */
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//reproducible random seed: if you don't change SEED above,
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// you'll aways get the same result, NOT a random run
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rng.reseed(seed);
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int seed1=time(0);
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srand(seed1);
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/* =========================================================
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*
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* Initilisation of the solution
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*
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* ========================================================= */
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solution sol(vecSize);
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if(vecSize<64)
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for(unsigned i=0;i<vecSize;i++) cout<<sol[i]<<" ";
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cout<<endl;
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/* =========================================================
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*
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* Eval fitness function
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*
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* ========================================================= */
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EvalOneMax<solution> eval;
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/* =========================================================
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*
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* Evaluation of a solution neighbor's
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*
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* ========================================================= */
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OneMaxIncrEval<Neighbor> incr_eval;
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moCudaVectorEval<Neighbor,OneMaxIncrEval<Neighbor> > cueval(vecSize,incr_eval);
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/* =========================================================
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*
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* Comparator of solutions and neighbors
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*
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* ========================================================= */
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moNeighborComparator<Neighbor> comparator;
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moSolNeighborComparator<Neighbor> solComparator;
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/* =========================================================
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*
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* a solution neighborhood
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*
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* ========================================================= */
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Neighborhood neighborhood(vecSize,cueval);
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/* =========================================================
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*
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* An explorer of solution neighborhood's
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*
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* ========================================================= */
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moFirstImprHCexplorer<Neighbor> explorer(neighborhood, cueval, comparator, solComparator);
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/* =========================================================
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*
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* The local search algorithm
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*
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* ========================================================= */
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// True continuator <=> Always continue
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moTrueContinuator<Neighbor> continuator;
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moLocalSearch<Neighbor> localSearch(explorer,continuator, eval);
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/* =========================================================
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*
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* The First improvment algorithm
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*
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* ========================================================= */
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moFirstImprHC<Neighbor> firstImprHC(neighborhood,eval,cueval);
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/* =========================================================
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*
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* Execute the local search from random sollution
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*
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* ========================================================= */
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//Can be eval here, else it will be done at the beginning of the localSearch
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eval(sol);
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std::cout << "initial: " << sol.fitness()<< std::endl;
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moCudaTimer timer;
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timer.start();
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localSearch(sol);
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timer.stop();
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printf("CUDA execution time = %f ms\n",timer.getTime());
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timer.deleteTimer();
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std::cout << "final: " << sol.fitness() << std::endl;
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/* =========================================================
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*
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* Execute the first improvment from random sollution
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*
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* ========================================================= */
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solution sol1(vecSize);
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if(vecSize<64)
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for(unsigned i=0;i<vecSize;i++) cout<<sol1[i]<<" ";
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cout<<endl;
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cout<<endl;
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eval(sol1);
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std::cout << "initial: " << sol1.fitness()<< std::endl;
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moCudaTimer timer1;
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timer1.start();
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firstImprHC(sol1);
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timer1.stop();
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printf("CUDA execution time = %f ms\n",timer1.getTime());
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timer1.deleteTimer();
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std::cout << "final: " << sol1.fitness() << std::endl;
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}
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// A main that catches the exceptions
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int main(int argc, char **argv)
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{
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try{
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main_function(argc, argv);
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}
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catch(exception& e){
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cout << "Exception: " << e.what() << '\n';
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}
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return 1;
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}
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180
ParadisEO-GPU/tutoriel/OneMax/testNeutralHC.cu
Normal file
180
ParadisEO-GPU/tutoriel/OneMax/testNeutralHC.cu
Normal file
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@ -0,0 +1,180 @@
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//Init the number of threads per block
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#define BLOCK_SIZE 128
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#include <iostream>
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#include <stdlib.h>
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using namespace std;
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// The general include for eo
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#include <eo>
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#include <ga.h>
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// Fitness function
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#include <problems/eval/EvalOneMax.h>
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// Cuda Fitness function
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#include <eval/moCudaVectorEval.h>
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#include <problems/eval/OneMaxIncrEval.h>
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// One Max solution
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#include <cudaType/moCudaBitVector.h>
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//To compute execution time
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#include <performance/moCudaTimer.h>
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// One Max neighbor
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#include <neighborhood/moCudaBitNeighbor.h>
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// One Max ordered neighborhood
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#include <neighborhood/moCudaOrderNeighborhood.h>
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// The Solution and neighbor comparator
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#include <comparator/moNeighborComparator.h>
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#include <comparator/moSolNeighborComparator.h>
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// The continuator
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#include <continuator/moTrueContinuator.h>
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// Simple HC algorithm
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#include <algo/moNeutralHC.h>
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// REPRESENTATION
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typedef moCudaBitVector<eoMaximizingFitness> solution;
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typedef moCudaBitNeighbor <solution,eoMaximizingFitness> Neighbor;
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typedef moCudaOrderNeighborhood<Neighbor> Neighborhood;
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void main_function(int argc, char **argv)
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{
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/* =========================================================
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*
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* Parameters
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*
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* ========================================================= */
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// First define a parser from the command-line arguments
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eoParser parser(argc, argv);
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// For each parameter, define Parameter, read it through the parser,
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// and assign the value to the variable
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// seed
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eoValueParam<uint32_t> seedParam(time(0), "seed", "Random number seed", 'S');
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parser.processParam( seedParam );
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unsigned seed = seedParam.value();
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// description of genotype
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eoValueParam<unsigned int> vecSizeParam(8, "vecSize", "Genotype size", 'V');
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parser.processParam( vecSizeParam, "Representation" );
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unsigned vecSize = vecSizeParam.value();
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//nbStep maximum step to do
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eoValueParam<unsigned int> nbStepParam(10, "nbStep", "maximum number of step", 'N');
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parser.processParam( nbStepParam, "numberStep" );
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unsigned nbStep = nbStepParam.value();
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// the name of the "status" file where all actual parameter values will be saved
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string str_status = parser.ProgramName() + ".status"; // default value
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eoValueParam<string> statusParam(str_status.c_str(), "status", "Status file");
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parser.processParam( statusParam, "Persistence" );
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// do the following AFTER ALL PARAMETERS HAVE BEEN PROCESSED
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// i.e. in case you need parameters somewhere else, postpone these
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if (parser.userNeedsHelp()) {
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parser.printHelp(cout);
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exit(1);
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}
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if (statusParam.value() != "") {
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ofstream os(statusParam.value().c_str());
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os << parser;// and you can use that file as parameter file
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}
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/* =========================================================
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*
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* Random seed
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*
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* ========================================================= */
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//reproducible random seed: if you don't change SEED above,
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// you'll aways get the same result, NOT a random run
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rng.reseed(seed);
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/* =========================================================
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*
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* Initilisation of the solution
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*
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* ========================================================= */
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solution sol(vecSize);
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if(vecSize<64)
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for(unsigned i=0;i<vecSize;i++) cout<<sol[i]<<" ";
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cout<<endl;
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/* =========================================================
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*
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* Eval fitness function
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*
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* ========================================================= */
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EvalOneMax<solution> eval;
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/* =========================================================
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*
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* Evaluation of a solution neighbor's
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*
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||||
* ========================================================= */
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OneMaxIncrEval<Neighbor> incr_eval;
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moCudaVectorEval<Neighbor,OneMaxIncrEval<Neighbor> > cueval(vecSize,incr_eval);
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/* =========================================================
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||||
*
|
||||
* Comparator of solutions and neighbors
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*
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||||
* ========================================================= */
|
||||
|
||||
moNeighborComparator<Neighbor> comparator;
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moSolNeighborComparator<Neighbor> solComparator;
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/* =========================================================
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*
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* a solution neighborhood
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*
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||||
* ========================================================= */
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||||
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Neighborhood neighborhood(vecSize,cueval);
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/* =========================================================
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||||
*
|
||||
* The simple Hill Climbing algorithm
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*
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||||
* ========================================================= */
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//True continuator <=> Always continue
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moTrueContinuator<Neighbor> continuator;
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moNeutralHC<Neighbor> neutralHC(neighborhood,eval,cueval,nbStep,continuator);
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/* =========================================================
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*
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* Execute the neutralHill climbing from random sollution
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*
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* ========================================================= */
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eval(sol);
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std::cout << "initial: " << sol.fitness()<< std::endl;
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moCudaTimer timer;
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timer.start();
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neutralHC(sol);
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timer.stop();
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printf("CUDA execution time = %f ms\n",timer.getTime());
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timer.deleteTimer();
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||||
std::cout << "final: " << sol.fitness() << std::endl;
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||||
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||||
}
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||||
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||||
// A main that catches the exceptions
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||||
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||||
int main(int argc, char **argv)
|
||||
{
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||||
try{
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||||
main_function(argc, argv);
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||||
}
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||||
catch(exception& e){
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cout << "Exception: " << e.what() << '\n';
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}
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return 1;
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}
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222
ParadisEO-GPU/tutoriel/OneMax/testSimpleHC.cu
Normal file
222
ParadisEO-GPU/tutoriel/OneMax/testSimpleHC.cu
Normal file
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@ -0,0 +1,222 @@
|
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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>
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||||
#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;
|
||||
}
|
||||
282
ParadisEO-GPU/tutoriel/OneMax/testSimpleTS.cu
Normal file
282
ParadisEO-GPU/tutoriel/OneMax/testSimpleTS.cu
Normal file
|
|
@ -0,0 +1,282 @@
|
|||
//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;
|
||||
}
|
||||
|
||||
230
ParadisEO-GPU/tutoriel/OneMax/testSimulatedAnnealing.cu
Normal file
230
ParadisEO-GPU/tutoriel/OneMax/testSimulatedAnnealing.cu
Normal file
|
|
@ -0,0 +1,230 @@
|
|||
///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
|
||||
|
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typedef moCudaBitVector<eoMaximizingFitness> solution;
|
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typedef moCudaBitNeighbor <solution,eoMaximizingFitness> Neighbor;
|
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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;
|
||||
}
|
||||
Loading…
Add table
Add a link
Reference in a new issue