📄 t-eoreal.cpp
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#include <iostream>#include <es/make_real.h>#include "real_value.h"#include <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 std::cout << "Initial Population\n"; pop.sortedPrintOn(std::cout); std::cout << std::endl; run_ea(ea, pop); // run the ea std::cout << "Final Population\n"; pop.sortedPrintOn(std::cout); std::cout << std::endl; } catch(std::exception& e) { std::cout << e.what() << std::endl; }}
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