* New tree configuration of the project:

.../
   ...           + -- EO
   |             |
   |             |
   +-- src ----- + -- EDO
   |             |
   |             |
   +-- test      + -- MO
   |             |
   |             |
   +-- tutorial  + -- MOEO
   |             |
   |             |
   +-- doc       + -- SMP
   |             |
   |             |
   ...           + -- EOMPI
                 |
                 |
                 + -- EOSERIAL

Question for current maintainers: ./README: new release?

Also:

* Moving out eompi & eoserial modules (issue #2).

* Correction of the errors when executing "make doc" command.

* Adding a solution for the conflicting headers problem (see the two CMake Cache
 Values: PROJECT_TAG & PROJECT_HRS_INSTALL_SUBPATH) (issue #1)

* Header inclusions:
        ** src: changing absolute paths into relative paths ('#include <...>' -> '#include "..."')
        ** test, tutorial: changing relative paths into absolute paths ('#include "..."' -> '#include <...>')

* Moving out some scripts from EDO -> to the root

* Add a new script for compilation and installation (see build_gcc_linux_install)

* Compilation with uBLAS library or EDO module: now ok

* Minor modifications on README & INSTALL files

* Comment eompi failed tests with no end

*** TODO: CPack (debian (DEB) & RedHat (RPM) packages) (issues #6 & #7) ***
This commit is contained in:
Adèle Harrissart 2014-08-04 13:40:28 +02:00
commit 490e837f7a
2359 changed files with 7688 additions and 16329 deletions

95
tutorial/eo/Lesson4/BitEA.cpp Executable file
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#include <iostream>
#include <paradiseo/eo/ga/make_ga.h>
#include <paradiseo/eo/apply.h>
// EVAL
#include "binary_value.h"
// GENERAL
using namespace std;
int main(int argc, char* argv[])
{
try
{
// REPRESENTATION
//-----------------------------------------------------------------------------
// define your genotype and fitness types
typedef eoBit<double> EOT;
// PARAMETRES
eoParser parser(argc, argv); // for user-parameter reading
// GENERAL
eoState state; // keeps all things allocated
///// FIRST, problem or representation dependent stuff
//////////////////////////////////////////////////////
// EVAL
// The evaluation fn - encapsulated into an eval counter for output
eoEvalFuncPtr<EOT, double> mainEval( binary_value<EOT> );
eoEvalFuncCounter<EOT> eval(mainEval);
// REPRESENTATION
// the genotype - through a genotype initializer
eoInit<EOT>& init = make_genotype(parser, state, EOT());
// if you want to do sharing, you'll need a distance.
// here Hamming distance
eoHammingDistance<EOT> dist;
// OPERATORS
// Build the variation operator (any seq/prop construct)
eoGenOp<EOT>& op = make_op(parser, state, init);
// GENERAL
//// Now the representation-independent things
//////////////////////////////////////////////
// initialize the population - and evaluate
// yes, this is representation indepedent once you have an eoInit
eoPop<EOT>& pop = make_pop(parser, state, init);
// STOP
// stopping criteria
eoContinue<EOT> & term = make_continue(parser, state, eval);
// output
eoCheckPoint<EOT> & checkpoint = make_checkpoint(parser, state, eval, term);
// GENERATION
// algorithm (need the operator!)
eoAlgo<EOT>& ga = make_algo_scalar(parser, state, eval, checkpoint, op, &dist);
///// End of construction of the algorith
/////////////////////////////////////////
// PARAMETRES
// to be called AFTER all parameters have been read!!!
make_help(parser);
//// GO
///////
// EVAL
// evaluate intial population AFTER help and status in case it takes time
apply<EOT>(eval, pop);
// STOP
// print it out (sort witout modifying)
cout << "Initial Population\n";
pop.sortedPrintOn(cout);
cout << endl;
// GENERATION
run_ea(ga, pop); // run the ga
// STOP
// print it out (sort witout modifying)
cout << "Final Population\n";
pop.sortedPrintOn(cout);
cout << endl;
// GENERAL
}
catch(exception& e)
{
cout << e.what() << endl;
}
}

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######################################################################################
### 0) Copy the ESEA.param and RealEA.param files in the build directory for an easy use.
######################################################################################
execute_process(
COMMAND ${CMAKE_COMMAND} -E copy_if_different
${EO_TUTORIAL_DIR}/Lesson4/ESEA.param
${EO_BIN_DIR}/tutorial/Lesson4/ESEA.param
COMMAND ${CMAKE_COMMAND} -E copy_if_different
${EO_TUTORIAL_DIR}/Lesson4/RealEA.param
${EO_BIN_DIR}/tutorial/Lesson4/RealEA.param
)
##############
# OLD_TARGETS
##############
#add_custom_target(param DEPENDS ${EO_SRC_DIR}/tutorial/Lesson4/ESEA.param)
#add_custom_command(
# TARGET param
# POST_BUILD
# COMMAND ${CMAKE_COMMAND}
# ARGS -E copy_if_different
# ${EO_SRC_DIR}/tutorial/Lesson4/ESEA.param
# ${EO_BIN_DIR}/tutorial/Lesson4)
#add_custom_target(param DEPENDS ${EO_SRC_DIR}/tutorial/Lesson4/RealEA.param)
#add_custom_command(
# TARGET param
# POST_BUILD
# COMMAND ${CMAKE_COMMAND}
# ARGS -E copy_if_different
# ${EO_SRC_DIR}/tutorial/Lesson4/RealEA.param
# ${EO_BIN_DIR}/tutorial/Lesson4)
######################################################################################
### 1) Include the sources
######################################################################################
#include_directories(${EO_SRC_DIR}/src)
#include_directories(${EO_SRC_DIR}/src/es)
#include_directories(${EO_SRC_DIR}/src/utils)
#include_directories(${EO_SRC_DIR}/src/ga)
######################################################################################
### 2) Specify where CMake can find the libraries
######################################################################################
if(NOT WIN32 OR CYGWIN)
link_directories(${EO_BIN_DIR}/lib)
endif(NOT WIN32 OR CYGWIN)
# especially for Visual Studio
if(WIN32 AND NOT CYGWIN)
link_directories(${EO_BIN_DIR}\\lib\\${CMAKE_BUILD_TYPE})
endif(WIN32 AND NOT CYGWIN)
######################################################################################
### 3) Define your targets
######################################################################################
# no matter what is the OS, hopefully
add_executable(BitEA BitEA.cpp)
add_executable(RealEA RealEA.cpp)
add_executable(ESEA ESEA.cpp)
#add_dependencies(BitEA es ga eo eoutils)
#add_dependencies(RealEA es ga eo eoutils)
#add_dependencies(ESEA es ga eo eoutils)
######################################################################################
### 4) Optionnal
######################################################################################
set(BITEA_VERSION ${GLOBAL_VERSION})
set_target_properties(BitEA PROPERTIES VERSION "${BITEA_VERSION}")
set(REALEA_VERSION ${GLOBAL_VERSION})
set_target_properties(RealEA PROPERTIES VERSION "${REALEA_VERSION}")
set(ESEA_VERSION ${GLOBAL_VERSION})
set_target_properties(ESEA PROPERTIES VERSION "${ESEA_VERSION}")
######################################################################################
### 5) Link the librairies for the targets
######################################################################################
target_link_libraries(BitEA es ga eo eoutils)
target_link_libraries(RealEA es ga eo eoutils)
target_link_libraries(ESEA es ga eo eoutils)
######################################################################################
### 6) Configure project installation paths
######################################################################################
install(TARGETS BitEA RUNTIME DESTINATION share/${PROJECT_TAG}/eo/examples/Lesson4 COMPONENT examples)
install(TARGETS RealEA RUNTIME DESTINATION share/${PROJECT_TAG}/eo/examples/Lesson4 COMPONENT examples)
install(TARGETS ESEA RUNTIME DESTINATION share/${PROJECT_TAG}/eo/examples/Lesson4 COMPONENT examples)
######################################################################################

137
tutorial/eo/Lesson4/ESEA.cpp Executable file
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// Program to test several EO-ES features
#ifdef _MSC_VER
#pragma warning(disable:4786)
#endif
#include <algorithm>
#include <string>
#include <iostream>
#include <iterator>
#include <stdexcept>
#include <time.h>
using namespace std;
#include <paradiseo/eo.h>
// representation specific
#include <paradiseo/eo/es/make_es.h>
#include "real_value.h" // the sphere fitness
// Now the main
///////////////
typedef eoMinimizingFitness FitT;
template <class EOT>
void runAlgorithm(EOT, eoParser& _parser, eoState& _state);
int main_function(int argc, char *argv[])
{
// Create the command-line parser
eoParser parser(argc, argv); // for user-parameter reading
eoState state; // keeps all things allocated
eoValueParam<bool>& simpleParam = parser.createParam(true, "Isotropic", "Isotropic self-adaptive mutation", 'i', "ES mutation");
eoValueParam<bool>& stdevsParam = parser.createParam(false, "Stdev", "One self-adaptive stDev per variable", 's', "ES mutation");
eoValueParam<bool>& corrParam = parser.createParam(false, "Correl", "Use correlated mutations", 'c', "ES mutation");
// Run the appropriate algorithm
if (simpleParam.value() == false)
{
cout << "Using eoReal" << endl;
runAlgorithm(eoReal<FitT>(), parser, state);
}
else if (stdevsParam.value() == false)
{
cout << "Using eoEsSimple" << endl;
runAlgorithm(eoEsSimple<FitT>(), parser, state);
}
else if (corrParam.value() == false)
{
cout << "Using eoEsStdev" << endl;
runAlgorithm(eoEsStdev<FitT>(), parser, state);
}
else
{
cout << "Using eoEsFull" << endl;
runAlgorithm(eoEsFull<FitT>(), parser, state);
}
return 0;
}
// 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;
}
/** The templatized main (sort of)
* quite similar to the main of other genotypes
* (e.g. t-eoReal and t-eoGA in test dir)
*/
template <class EOT>
void runAlgorithm(EOT, eoParser& _parser, eoState& _state)
{
typedef typename EOT::Fitness FitT;
///// FIRST, problem or representation dependent stuff
//////////////////////////////////////////////////////
// The evaluation fn - encapsulated into an eval counter for output
eoEvalFuncPtr<EOT, double, const std::vector<double>&>
mainEval( real_value );
eoEvalFuncCounter<EOT> eval(mainEval);
// the genotype - through a genotype initializer
eoRealInitBounded<EOT>& init = make_genotype(_parser, _state, EOT());
// Build the variation operator (any seq/prop construct)
eoGenOp<EOT>& op = make_op(_parser, _state, init);
//// Now the representation-independent things
//////////////////////////////////////////////
// initialize the population - and evaluate
// yes, this is representation indepedent once you have an eoInit
eoPop<EOT>& pop = make_pop(_parser, _state, init);
apply<EOT>(eval, pop);
// stopping criteria
eoContinue<EOT> & term = make_continue(_parser, _state, eval);
// output
eoCheckPoint<EOT> & checkpoint = make_checkpoint(_parser, _state, eval, term);
// algorithm (need the operator!)
eoAlgo<EOT>& ga = make_algo_scalar(_parser, _state, eval, checkpoint, op);
///// End of construction of the algorith
/////////////////////////////////////////
// to be called AFTER all parameters have been read!!!
make_help(_parser);
//// GO
///////
cout << "Initial Population\n";
pop.sortedPrintOn(cout);
cout << endl;
run_ea(ga, pop); // run the ga
cout << "Final Population\n";
pop.sortedPrintOn(cout);
cout << endl;
}

61
tutorial/eo/Lesson4/ESEA.param Executable file
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###### General ######
# --help=0 # -h : Prints this message
# --stopOnUnknownParam=1 # Stop if unkown param entered
# --seed=1104133126 # -S : Random number seed
###### ES mutation ######
# --Isotropic=1 # -i : Isotropic self-adaptive mutation
# --Stdev=0 # -s : One self-adaptive stDev per variable
# --Correl=0 # -c : Use correlated mutations
###### Evolution Engine ######
--popSize=1 # -P : Population Size
--selection=Sequential # -S : Selection: DetTour(T), StochTour(t), Roulette, Ranking(p,e) or Sequential(ordered/unordered)
--nbOffspring=700% # -O : Nb of offspring (percentage or absolute)
--replacement=Comma # -R : Replacement: Comma, Plus or EPTour(T), SSGAWorst, SSGADet(T), SSGAStoch(t)
--weakElitism=0 # -w : Old best parent replaces new worst offspring *if necessary*
###### Genotype Initialization ######
# --vecSize=10 # -n : The number of variables
# --initBounds=10[-1,1] # -B : Bounds for initialization (MUST be bounded)
--sigmaInit=0.3% # -s : Initial value for Sigmas (with a '%' -> scaled by the range of each variable)
###### Output ######
# --useEval=1 # Use nb of eval. as counter (vs nb of gen.)
# --useTime=1 # Display time (s) every generation
# --printBestStat=1 # Print Best/avg/stdev every gen.
# --printPop=0 # Print sorted pop. every gen.
###### Output - Disk ######
# --resDir=Res # Directory to store DISK outputs
# --eraseDir=1 # erase files in dirName if any
# --fileBestStat=0 # Output bes/avg/std to file
###### Output - Graphical ######
# --plotBestStat=0 # Plot Best/avg Stat
# --plotHisto=0 # Plot histogram of fitnesses
###### Persistence ######
# --Load= # -L : A save file to restart from
# --recomputeFitness=0 # -r : Recompute the fitness after re-loading the pop.?
# --saveFrequency=0 # Save every F generation (0 = only final state, absent = never)
# --saveTimeInterval=0 # Save every T seconds (0 or absent = never)
# --status=t-eoESAll.status # Status file
###### Stopping criterion ######
# --maxGen=100 # -G : Maximum number of generations () = none)
# --steadyGen=100 # -s : Number of generations with no improvement
# --minGen=0 # -g : Minimum number of generations
# --maxEval=0 # -E : Maximum number of evaluations (0 = none)
# --targetFitness=0 # -T : Stop when fitness reaches
# --CtrlC=0 # -C : Terminate current generation upon Ctrl C
###### Variation Operators ######
# --objectBounds=10[-inf,+inf] # -B : Bounds for variables
# --operator=SGA # -o : Description of the operator (SGA only now)
# --pCross=1 # -C : Probability of Crossover
# --pMut=1 # -M : Probability of Mutation
# --crossType=global # -C : Type of ES recombination (global or standard)
# --crossObj=discrete # -O : Recombination of object variables (discrete, intermediate or none)
# --crossStdev=intermediate # -S : Recombination of mutation strategy parameters (intermediate, discrete or none)
# --TauLoc=1 # -l : Local Tau (before normalization)

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### This Makefile is part of the tutorial of the EO library
# Unlike other Makefiles in EO, it is not using the automake/autoconf
# so that it stays easy to understant (you are in the tutorial, remember!)
# MS, Oct. 2002
# if you use this Makefile as a starting point for another application
# you might need to modify the following
DIR_EO = ../../src
.SUFFIXES: .cpp
# Warning: $(CXX) in Linux (RedHat and Mandrake at least) is g++
# However, if you are using this Makefile within xemacs,
# and have problems with the interpretation of the output (and its colors)
# then you should use c++ instead (make CXX=c++ will do)
.cpp: ; $(CXX) -DPACKAGE=\"eo\" -DVERSION=\"0.9.3\" -I. -I$(DIR_EO) -Wall -g -o $@ $*.cpp $(DIR_EO)/utils/libeoutils.a $(DIR_EO)/libeo.a
.cpp.o: ; $(CXX) -DPACKAGE=\"eo\" -DVERSION=\"0.9.3\" -I. -I$(DIR_EO) -Wall -g -c $*.cpp
ALL = BitEA RealEA ESEA
all : $(ALL)
BitEA : BitEA.o ;
$(CXX) -DPACKAGE=\"eo\" -DVERSION=\"0.9.2\" -Wall -g -o $@ $< $(DIR_EO)/ga/libga.a $(DIR_EO)/utils/libeoutils.a $(DIR_EO)/libeo.a
RealEA : RealEA.o ; $(CXX) -DPACKAGE=\"eo\" -DVERSION=\"0.9.2\" -Wall -g -o $@ $< $(DIR_EO)/es/libes.a $(DIR_EO)/utils/libeoutils.a $(DIR_EO)/libeo.a
ESEA : ESEA.o ; $(CXX) -DPACKAGE=\"eo\" -DVERSION=\"0.9.2\" -Wall -g -o $@ $< $(DIR_EO)/es/libes.a $(DIR_EO)/utils/libeoutils.a $(DIR_EO)/libeo.a
clean :
@/bin/rm $(ALL) *.o *.sav *.xg *.status *~

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tutorial/eo/Lesson4/RealEA.cpp Executable file
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#include <iostream>
#include <paradiseo/eo/es/make_real.h>
#include "real_value.h"
#include <paradiseo/eo/apply.h>
using namespace std;
int main(int argc, char* argv[])
{
try
{
typedef eoReal<eoMinimizingFitness> EOT;
eoParser parser(argc, argv); // for user-parameter reading
eoState state; // keeps all things allocated
///// FIRST, problem or representation dependent stuff
//////////////////////////////////////////////////////
// The evaluation fn - encapsulated into an eval counter for output
eoEvalFuncPtr<EOT, double, const std::vector<double>&>
mainEval( real_value );
eoEvalFuncCounter<EOT> eval(mainEval);
// the genotype - through a genotype initializer
eoRealInitBounded<EOT>& init = make_genotype(parser, state, EOT());
// Build the variation operator (any seq/prop construct)
eoGenOp<EOT>& op = make_op(parser, state, init);
//// Now the representation-independent things
//////////////////////////////////////////////
// initialize the population - and evaluate
// yes, this is representation indepedent once you have an eoInit
eoPop<EOT>& pop = make_pop(parser, state, init);
// stopping criteria
eoContinue<EOT> & term = make_continue(parser, state, eval);
// output
eoCheckPoint<EOT> & checkpoint = make_checkpoint(parser, state, eval, term);
// algorithm (need the operator!)
eoAlgo<EOT>& ea = make_algo_scalar(parser, state, eval, checkpoint, op);
///// End of construction of the algorith
/////////////////////////////////////////
// to be called AFTER all parameters have been read!!!
make_help(parser);
//// GO
///////
// evaluate intial population AFTER help and status in case it takes time
apply<EOT>(eval, pop);
// print it out
cout << "Initial Population\n";
pop.sortedPrintOn(cout);
cout << endl;
run_ea(ea, pop); // run the ea
cout << "Final Population\n";
pop.sortedPrintOn(cout);
cout << endl;
}
catch(exception& e)
{
cout << e.what() << endl;
}
}

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###### General ######
# --help=0 # -h : Prints this message
# --stopOnUnknownParam=1 # Stop if unkown param entered
# --seed=1104133126 # -S : Random number seed
###### Evolution Engine ######
--popSize=10 # -P : Population Size
--selection=Sequential # -S : Selection: DetTour(T), StochTour(t), Roulette, Ranking(p,e) or Sequential(ordered/unordered)
--nbOffspring=700% # -O : Nb of offspring (percentage or absolute)
--replacement=Plus # -R : Replacement: Comma, Plus or EPTour(T), SSGAWorst, SSGADet(T), SSGAStoch(t)
--weakElitism=0 # -w : Old best parent replaces new worst offspring *if necessary*
###### Genotype Initialization ######
# --vecSize=10 # -n : The number of variables
# --initBounds=10[-1,1] # -B : Bounds for initialization (MUST be bounded)
--sigmaInit=0.3% # -s : Initial value for Sigmas (with a '%' -> scaled by the range of each variable)
###### Output ######
# --useEval=1 # Use nb of eval. as counter (vs nb of gen.)
# --useTime=1 # Display time (s) every generation
# --printBestStat=1 # Print Best/avg/stdev every gen.
# --printPop=0 # Print sorted pop. every gen.
###### Output - Disk ######
# --resDir=Res # Directory to store DISK outputs
# --eraseDir=1 # erase files in dirName if any
# --fileBestStat=0 # Output bes/avg/std to file
###### Output - Graphical ######
# --plotBestStat=0 # Plot Best/avg Stat
# --plotHisto=0 # Plot histogram of fitnesses
###### Persistence ######
# --Load= # -L : A save file to restart from
# --recomputeFitness=0 # -r : Recompute the fitness after re-loading the pop.?
# --saveFrequency=0 # Save every F generation (0 = only final state, absent = never)
# --saveTimeInterval=0 # Save every T seconds (0 or absent = never)
# --status=t-eoESAll.status # Status file
###### Stopping criterion ######
# --maxGen=100 # -G : Maximum number of generations () = none)
# --steadyGen=100 # -s : Number of generations with no improvement
# --minGen=0 # -g : Minimum number of generations
# --maxEval=0 # -E : Maximum number of evaluations (0 = none)
# --targetFitness=0 # -T : Stop when fitness reaches
# --CtrlC=0 # -C : Terminate current generation upon Ctrl C
###### Variation Operators ######
# --objectBounds=10[-inf,+inf] # -B : Bounds for variables
# --operator=SGA # -o : Description of the operator (SGA only now)
# --pCross=1 # -C : Probability of Crossover
# --pMut=1 # -M : Probability of Mutation
# --crossType=global # -C : Type of ES recombination (global or standard)
# --crossObj=discrete # -O : Recombination of object variables (discrete, intermediate or none)
# --crossStdev=intermediate # -S : Recombination of mutation strategy parameters (intermediate, discrete or none)
# --TauLoc=1 # -l : Local Tau (before normalization)

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#include <paradiseo/eo.h>
//-----------------------------------------------------------------------------
/** Just a simple function that takes binary value of a chromosome and sets
the fitnes.
@param _chrom A binary chromosome
*/
template <class Chrom> double binary_value(const Chrom& _chrom)
{
double sum = 0;
for (unsigned i = 0; i < _chrom.size(); i++)
if (_chrom[i])
sum += _chrom[i];
return sum;
}
struct BinaryValue
{
template <class Chrom> void operator()(Chrom& _chrom)
{
_chrom.fitness(binary_value(_chrom));
}
};

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#include <vector>
//-----------------------------------------------------------------------------
/** Just a simple function that takes an eoEsBase<double> and sets the fitnes
to sphere
@param _ind vector<double>
*/
double real_value(const std::vector<double>& _ind)
{
double sum = 0;
for (unsigned i = 0; i < _ind.size(); i++)
sum += _ind[i] * _ind[i];
return sqrt(sum);
}