72 lines
2 KiB
C++
72 lines
2 KiB
C++
#include <iostream>
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#include <es/make_real.h>
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#include "real_value.h"
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#include <apply.h>
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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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typedef eoReal<eoMinimizingFitness> EOT;
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eoParser parser(argc, argv); // for user-parameter reading
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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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// The evaluation fn - encapsulated into an eval counter for output
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eoEvalFuncPtr<EOT, double, const std::vector<double>&>
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mainEval( real_value );
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eoEvalFuncCounter<EOT> eval(mainEval);
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// the genotype - through a genotype initializer
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eoRealInitBounded<EOT>& init = make_genotype(parser, state, EOT());
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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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//// 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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// 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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// algorithm (need the operator!)
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eoAlgo<EOT>& ea = make_algo_scalar(parser, state, eval, checkpoint, op);
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///// End of construction of the algorith
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/////////////////////////////////////////
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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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// evaluate intial population AFTER help and status in case it takes time
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apply<EOT>(eval, pop);
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// print it out
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std::cout << "Initial Population\n";
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pop.sortedPrintOn(std::cout);
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std::cout << std::endl;
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run_ea(ea, pop); // run the ea
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std::cout << "Final Population\n";
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pop.sortedPrintOn(std::cout);
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std::cout << std::endl;
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}
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catch(std::exception& e)
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{
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std::cout << e.what() << std::endl;
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}
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}
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