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