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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// t-eoFitnessAssembledEA.cpp
// Marc Wintermantel & Oliver Koenig
// IMES-ST@ETHZ.CH
// March 2003
/*
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Contact: todos@geneura.ugr.es, http://geneura.ugr.es
Marc.Schoenauer@inria.fr
mak@dhi.dk
*/
//-----------------------------------------------------------------------------
#ifdef HAVE_CONFIG_H
#include <config.h>
#endif
#include <iostream>
#include <cmath>
// General eo includes
#include <eo>
#include <utils/eoRealVectorBounds.h> // The real bounds (not yet in general eo include)
// Representation dependent includes and typedefs
#include <es/eoReal.h> // Definition of representation
#include <es/eoRealInitBounded.h> // Uniformly initializes real vector in bounds
#include <es/make_genotype_real.h> // Initialization of a genotype
#include <eoEvalFunc.h> // Base class for fitness evaluation
#include <es/make_op_real.h> // Variation operators using standard Real operators
#include <eoScalarFitnessAssembled.h> // The fitness class
typedef eoReal<eoAssembledMinimizingFitness> Indi;
// Representation independent modules
#include <do/make_pop.h> // Initialization of population
#include <do/make_continue.h> // The stopping criterion
#include <do/make_checkpoint_assembled.h> // Outputs (stats, population dumps, ...)
#include <do/make_algo_scalar.h> // Evolution engine (selection and replacement)
#include <do/make_run.h> // simple call to the algo.stays there for consistency reasons
// Define a fitness class
template <class EOT>
class eoAssembledEvalFunc : public eoEvalFunc<EOT>{
public:
// Constructor defining number and descriptions of fitness terms
eoAssembledEvalFunc() {
// Define a temporary fitness object to have access to its static traits
typename EOT::Fitness tmpfit(3, 0.0);
tmpfit.setDescription(0,"Fitness");
tmpfit.setDescription(1,"Some Value");
tmpfit.setDescription(2,"Other Value");
}
void operator()(EOT& _eo){
// Define temporary fitness object
// (automatically gets initialized with size given in constructor)
typename EOT::Fitness tmpfit;
// Eval some dummy fitness
double sum1=0.0, sum2=0.0;
for (unsigned i=0; i < _eo.size(); ++i){
sum1 += _eo[i]*_eo[i];
sum2 += fabs(_eo[i]) + fabs(_eo[i]);
}
// Store some fitness terms
tmpfit[1]= sum1;
tmpfit[2]= sum2;
// Store the fitness
tmpfit = (sum1 + sum2)/_eo.size();
// Pass it
_eo.fitness( tmpfit );
}
};
// checks for help demand, and writes the status file and make_help; in libutils
void make_help(eoParser & _parser);
// now use all of the above, + representation dependent things
int main(int argc, char* argv[]){
std::cout << "-----------------------------------" << std::endl;
std::cout << "START t-eoFitnessAssembledEA" << std::endl;
try{
// Parser & State
eoParser parser(argc, argv); // for user-parameter reading
eoState state; // keeps all things allocated
////
// A) Representation dependent stuff
////
// The fitness
eoAssembledEvalFunc<Indi> plainEval;
// turn that object into an evaluation counter
eoEvalFuncCounter<Indi> eval(plainEval);
// The genotype
eoRealInitBounded<Indi>& init = do_make_genotype(parser, state, Indi() );
// The variation operators
eoGenOp<Indi>& op = do_make_op(parser, state, init);
////
// B) Create representation independent stuff
////
// initialize the population
// yes, this is representation indepedent once you have an eoInit
eoPop<Indi>& pop = do_make_pop(parser, state, init);
// stopping criteria
eoContinue<Indi> & term = do_make_continue(parser, state, eval);
// output
eoCheckPoint<Indi> & checkpoint = do_make_checkpoint_assembled(parser, state, eval, term);
// algorithm (need the operator!)
eoAlgo<Indi>& ga = do_make_algo_scalar(parser, state, eval, checkpoint, op);
make_help(parser); // To be called after all parameters have been read !
////
// C) Run the algorithm
////
// evaluate intial population AFTER help and status in case it takes time
apply<Indi>(eval, pop);
// if you want to print it out
std::cout << "Initial Population\n";
pop.sortedPrintOn(std::cout);
std::cout << std::endl;
do_run(ga, pop); // run the ga
std::cout << "Final Population\n";
pop.sortedPrintOn(std::cout);
std::cout << std::endl;
}
catch(std::exception& e)
{
std::cout << e.what() << std::endl;
return 1;
}
std::cout << "-----------------------------------" << std::endl;
std::cout << "END t-eoFitnessAssembledEA" << std::endl;
return 0;
}