Migration from SVN

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quemy 2012-08-30 11:30:11 +02:00
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//-----------------------------------------------------------------------------
/** neutralDegree.cpp
*
* SV - 03/05/10
*
*/
//-----------------------------------------------------------------------------
// standard includes
#define HAVE_SSTREAM
#include <stdexcept> // runtime_error
#include <iostream> // cout
#include <sstream> // ostrstream, istrstream
#include <fstream>
#include <string.h>
// the general include for eo
#include <eo>
// declaration of the namespace
using namespace std;
//-----------------------------------------------------------------------------
// representation of solutions, and neighbors
#include <ga/eoBit.h> // bit string : see also EO tutorial lesson 1: FirstBitGA.cpp
#include <problems/bitString/moBitNeighbor.h> // neighbor of bit string
//-----------------------------------------------------------------------------
// fitness function, and evaluation of neighbors
#include <eval/royalRoadEval.h>
#include <problems/eval/moRoyalRoadIncrEval.h>
//-----------------------------------------------------------------------------
// neighborhood description
#include <neighborhood/moOrderNeighborhood.h> // visit all neighbor in order of their bit-flip
//-----------------------------------------------------------------------------
// the sampling class
#include <sampling/moNeutralDegreeSampling.h>
// Declaration of types
//-----------------------------------------------------------------------------
// Indi is the typedef of the solution type like in paradisEO-eo
typedef eoBit<unsigned int> Indi; // bit string with unsigned fitness type
// Neighbor is the typedef of the neighbor type,
// Neighbor = How to compute the neighbor from the solution + information on it (i.e. fitness)
// all classes from paradisEO-mo use this template type
typedef moBitNeighbor<unsigned int> Neighbor ; // bit string neighbor with unsigned fitness type
void main_function(int argc, char **argv)
{
/* =========================================================
*
* Parameters
*
* ========================================================= */
// more information on the input parameters: see EO tutorial lesson 3
// but don't care at first it just read the parameters of the bit string size and the random seed.
// 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
// random seed parameter
eoValueParam<uint32_t> seedParam(time(0), "seed", "Random number seed", 'S');
parser.processParam( seedParam );
unsigned seed = seedParam.value();
// length of the bit string
eoValueParam<unsigned int> vecSizeParam(20, "vecSize", "Genotype size", 'V');
parser.processParam( vecSizeParam, "Representation" );
unsigned vecSize = vecSizeParam.value();
// size of the block
eoValueParam<unsigned int> blockSizeParam(4, "blockSize", "Block size of the Royal Road", 'k');
parser.processParam( blockSizeParam, "Representation" );
unsigned blockSize = blockSizeParam.value();
// the number of solution sampled
eoValueParam<unsigned int> solParam(100, "nbSol", "Number of random solution", 'n');
parser.processParam( solParam, "Representation" );
unsigned nbSol = solParam.value();
// the name of the output file
string str_out = "out.dat"; // default value
eoValueParam<string> outParam(str_out.c_str(), "out", "Output file of the sampling", 'o');
parser.processParam(outParam, "Persistence" );
// 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
// more information: see EO tutorial lesson 1 (FirstBitGA.cpp)
rng.reseed(seed);
/* =========================================================
*
* Initialization of the solution
*
* ========================================================= */
// a Indi random initializer: each bit is random
// more information: see EO tutorial lesson 1 (FirstBitGA.cpp)
eoUniformGenerator<bool> uGen;
eoInitFixedLength<Indi> random(vecSize, uGen);
/* =========================================================
*
* Eval fitness function (full evaluation)
*
* ========================================================= */
// the fitness function is the royal function (oneMax is a Royal Road with block of 1)
RoyalRoadEval<Indi> fullEval(blockSize);
/* =========================================================
*
* evaluation of a neighbor solution
*
* ========================================================= */
// Incremental evaluation of the neighbor: fitness is modified by +1 , 0 or -1
moRoyalRoadIncrEval<Neighbor> neighborEval(fullEval);
/* =========================================================
*
* the neighborhood of a solution
*
* ========================================================= */
// Exploration of the neighborhood in increasing order of the neigbor's index:
// bit-flip from bit 0 to bit (vecSize - 1)
moOrderNeighborhood<Neighbor> neighborhood(vecSize);
/* =========================================================
*
* The sampling of the search space
*
* ========================================================= */
// sampling object :
// - random initialization
// - neighborhood to compute the neutral degree
// - fitness function
// - neighbor evaluation
// - number of solutions to sample
moNeutralDegreeSampling<Neighbor> sampling(random, neighborhood, fullEval, neighborEval, nbSol);
/* =========================================================
*
* execute the sampling
*
* ========================================================= */
sampling();
/* =========================================================
*
* export the sampling
*
* ========================================================= */
// to export the statistics into file
sampling.fileExport(str_out);
// to get the values of statistics
// so, you can compute some statistics in c++ from the data
const std::vector<double> & fitnessValues = sampling.getValues(0);
const std::vector<double> & ndValues = sampling.getValues(1);
std::cout << "First values:" << std::endl;
std::cout << "Fitness " << fitnessValues[0] << std::endl;
std::cout << "N. Degree " << ndValues[0] << std::endl;
std::cout << "Last values:" << std::endl;
std::cout << "Fitness " << fitnessValues[fitnessValues.size() - 1] << std::endl;
std::cout << "N. Degree " << ndValues[fitnessValues.size() - 1] << 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;
}