📄 onemaxlibea.cpp
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/** -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-The above line is usefulin Emacs-like editors *//*Template for creating a new representation in EO================================================This is the template main file for compiling after creating alibrary. See make_OneMax.cpp file.*/// Miscilaneous include and declaration #include <iostream>using namespace std;// eo general include#include "eo"// the real bounds (not yet in general eo include)#include "utils/eoRealVectorBounds.h"// include here whatever specific files for your representation// Basically, this should include at least the following/** definition of representation: * class eoOneMax MUST derive from EO<FitT> for some fitness */#include "eoOneMax.h"/** definition of initilizqtion: * class eoOneMaxInit MUST derive from eoInit<eoOneMax> */#include "eoOneMaxInit.h"/** definition of evaluation: * class eoOneMaxEvalFunc MUST derive from eoEvalFunc<eoOneMax> * and should test for validity before doing any computation * see tutorial/Templates/evalFunc.tmpl */#include "eoOneMaxEvalFunc.h"// GENOTYPE eoOneMax ***MUST*** be templatized over the fitness//// START fitness type: double or eoMaximizingFitness if you are maximizing// eoMinimizingFitness if you are minimizingtypedef eoMinimizingFitness MyFitT ; // type of fitness // END fitness type//// Then define your EO objects using that fitness typetypedef eoOneMax<MyFitT> Indi; // ***MUST*** derive from EO // create an initializer - done here and NOT in make_OneMax.cpp// because it is NOT representation independent#include "make_genotype_OneMax.h"eoInit<Indi> & make_genotype(eoParser& _parser, eoState&_state, Indi _eo){ return do_make_genotype(_parser, _state, _eo);} // same thing for the variation operaotrs#include "make_op_OneMax.h"eoGenOp<Indi>& make_op(eoParser& _parser, eoState& _state, eoInit<Indi>& _init){ return do_make_op(_parser, _state, _init);}// The representation independent routines are simply declared here// how to initialize the population // it IS representation independent if an eoInit is giveneoPop<Indi >& make_pop(eoParser& _parser, eoState& _state, eoInit<Indi> & _init);// the stopping criterioneoContinue<Indi>& make_continue(eoParser& _parser, eoState& _state, eoEvalFuncCounter<Indi> & _eval);// outputs (stats, population dumps, ...)eoCheckPoint<Indi>& make_checkpoint(eoParser& _parser, eoState& _state, eoEvalFuncCounter<Indi>& _eval, eoContinue<Indi>& _continue);// evolution engine (selection and replacement)eoAlgo<Indi>& make_algo_scalar(eoParser& _parser, eoState& _state, eoEvalFunc<Indi>& _eval, eoContinue<Indi>& _continue, eoGenOp<Indi>& _op);// simple call to the algo. stays there for consistency reasons // no template for that onevoid run_ea(eoAlgo<Indi>& _ga, eoPop<Indi>& _pop);// checks for help demand, and writes the status file// and make_help; in libutils - just a declaration, code in libeoutils.avoid make_help(eoParser & _parser);// now use all of the above, + representation dependent things// from here on, no difference with eoOneMax.cppint main(int argc, char* argv[]){ try { eoParser parser(argc, argv); // for user-parameter reading eoState state; // keeps all things allocated // The fitness ////////////// eoOneMaxEvalFunc<Indi> plainEval/* (varType _anyVariable) */; // turn that object into an evaluation counter eoEvalFuncCounter<Indi> eval(plainEval); // the genotype - through a genotype initializer eoInit<Indi>& init = make_genotype(parser, state, Indi()); // Build the variation operator (any seq/prop construct) eoGenOp<Indi>& op = make_op(parser, state, init); //// Now the representation-independent things // // YOU SHOULD NOT NEED TO MODIFY ANYTHING BEYOND THIS POINT // unless you want to add specific statistics to the checkpoint ////////////////////////////////////////////// // initialize the population // yes, this is representation indepedent once you have an eoInit eoPop<Indi>& pop = make_pop(parser, state, init); // stopping criteria eoContinue<Indi> & term = make_continue(parser, state, eval); // output eoCheckPoint<Indi> & checkpoint = make_checkpoint(parser, state, eval, term); // algorithm (need the operator!) eoAlgo<Indi>& ga = make_algo_scalar(parser, state, eval, checkpoint, op); ///// End of construction of the algorithm ///////////////////////////////////////// // 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<Indi>(eval, pop); // if you want to print it out 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; } catch(exception& e) { cout << e.what() << endl; } return 0;}
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