changing genetic operators
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3 changed files with 58 additions and 53 deletions
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@ -11,6 +11,7 @@
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#include <eoPop.h> // eoPop
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#include <eoGenContinue.h> // eoGenContinue
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#include <eoProportional.h> // eoProportional
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#include <eoStochTournament.h>
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#include <eoSGA.h> // eoSGA
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#include "gprop.h" // Chrom eoChromInit eoChromMutation eoChromXover eoChromEvaluator
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@ -24,12 +25,12 @@ unsigned in, out, hidden;
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// parameters
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//-----------------------------------------------------------------------------
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eoValueParam<unsigned> pop_size(10, "pop_size", "default population size", 'p');
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eoValueParam<unsigned> generations(10, "generations", "default generation number", 'g');
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eoValueParam<double> mut_rate(0.1, "mut_rate", "default mutation rate", 'm');
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eoValueParam<unsigned> pop_size(10, "pop_size", "population size", 'p');
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eoValueParam<unsigned> generations(10, "generations", "number of generation", 'g');
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eoValueParam<double> mut_rate(0.1, "mut_rate", "mutation rate", 'm');
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eoValueParam<double> xover_rate(0.1, "xover_rate", "default crossover rate", 'x');
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eoValueParam<string> file("", "file", "common part of patterns filenames *.trn *.val and *.tst", 'f');
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eoValueParam<unsigned> hiddenp(8, "hidden", "default number of neurons in hidden layer", 'h');
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eoValueParam<string> file("", "file", "common start of patterns filenames *.trn *.val and *.tst", 'f');
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eoValueParam<unsigned> hiddenp(0, "hidden", "number of neurons in hidden layer", 'd');
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//-----------------------------------------------------------------------------
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// auxiliar functions
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@ -108,8 +109,6 @@ void load_file(mlp::set& set, const string& ext)
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ifs >> set;
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cout << "set.size() = " << set.size() << endl;
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if (set.size() == 0)
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{
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cerr << filename << " data file is empty!";
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@ -122,22 +121,30 @@ void load_file(mlp::set& set, const string& ext)
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void ga()
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{
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eoGenContinue<Chrom> continuator(generations.value());
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eoProportional<Chrom> select;
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// create population
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eoInitChrom init;
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eoPop<Chrom> pop(pop_size.value(), init);
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// evaluate population
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eoEvalFuncPtr<Chrom> evaluator(eoChromEvaluator);
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apply<Chrom>(evaluator, pop);
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// selector
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// eoProportional<Chrom> select(pop);
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eoStochTournament<Chrom> select;
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// genetic operators
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eoChromMutation mutation(generations);
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eoChromXover xover;
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eoEvalFuncPtr<Chrom> evaluator(eoChromEvaluator);
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// genetic algorithm
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eoSGA<Chrom> sga(select,
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xover, xover_rate.value(),
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mutation, mut_rate.value(),
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evaluator,
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continuator);
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eoInitChrom init;
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eoPop<Chrom> pop(pop_size.value(), init);
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apply<Chrom>(evaluator, pop);
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cout << pop << endl;
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sga(pop);
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@ -8,6 +8,7 @@
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//-----------------------------------------------------------------------------
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#include <iostream> // istream ostream
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#include <iomanip> // setprecision
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#include <string> // string
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#include <EO.h> // EO
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#include <eoOp.h> // eoMonOp eoQuadraticOp
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@ -29,15 +30,14 @@ struct phenotype
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static unsigned trn_max, val_max, tst_max;
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phenotype(const double& _mse_error = 0): mse_error(_mse_error) {}
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operator double(void) const { return mse_error; }
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operator double(void) const { return val_ok; }
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friend bool operator<(const phenotype& a, const phenotype& b)
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{
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return a.mse_error < b.mse_error;
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return a.val_ok < b.val_ok ||
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(!(a.val_ok < b.val_ok) && a.mse_error < b.mse_error);
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}
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friend ostream& operator<<(ostream& os, const phenotype& p)
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{
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return os << p.trn_ok << "/" << p.trn_max << " "
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@ -69,17 +69,15 @@ extern unsigned in, out, hidden;
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class Chrom: public EO<phenotype>, public genotype
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{
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public:
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Chrom(): genotype(in, out, vector<unsigned>(1, hidden))
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{
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cout << "in = " << in << " out = " << out << " hidden = " << hidden << endl;
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}
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Chrom(): genotype(in, out, vector<unsigned>(1, hidden)) {}
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string className() const { return "Chrom"; }
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void printOn (ostream& os) const
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{
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// os << static_cast<genotype>(*this) << " " << fitness();
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os << fitness();
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os << setprecision(3) << static_cast<genotype>(*this) << " \t"
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<< fitness();
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// os << fitness();
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}
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void readFrom (istream& is)
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@ -137,6 +135,12 @@ class eoChromXover: public eoQuadraticOp<Chrom>
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public:
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void operator()(Chrom& chrom1, Chrom& chrom2)
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{
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chrom1.normalize();
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chrom2.desaturate();
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mse::net tmp1(chrom1), tmp2(chrom2);
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tmp1.train(trn_set, 100, 0, 0.001);
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tmp2.train(trn_set, 100, 0, 0.001);
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}
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};
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@ -164,12 +168,8 @@ unsigned correct(const mlp::net& net, const qp::set& set)
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return sum;
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}
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phenotype eoChromEvaluator(const Chrom& chrom)
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{
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// extern mlp::set trn_set, val_set, tst_set;
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phenotype p;
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p.trn_ok = correct(chrom, trn_set);
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p.val_ok = correct(chrom, val_set);
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@ -35,7 +35,7 @@
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//-----------------------------------------------------------------------------
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/** eoProportional: select an individual proportional to her stored fitness
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value
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value
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*/
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//-----------------------------------------------------------------------------
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@ -43,30 +43,28 @@ value
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template <class EOT> class eoProportional: public eoSelectOne<EOT>
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{
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public:
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/// Sanity check
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eoProportional(void) : total(-1.0)
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{
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if (minimizing_fitness<EOT>())
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{
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throw logic_error("eoProportional: minimizing fitness");
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}
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}
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/// Sanity check
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eoProportional(const eoPop<EOT>& pop = eoPop<EOT>()):
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total((pop.size() == 0) ? -1.0 : sum_fitness(pop))
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{
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if (minimizing_fitness<EOT>())
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throw logic_error("eoProportional: minimizing fitness");
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}
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void setup(const eoPop<EOT>& _pop)
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{
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total = sum_fitness(_pop);
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}
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void setup(const eoPop<EOT>& _pop)
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{
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total = sum_fitness(_pop);
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}
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/** do the selection, call roulette_wheel.
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*/
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const EOT& operator()(const eoPop<EOT>& _pop)
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{
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return roulette_wheel(_pop, total) ;
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}
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/** do the selection, call roulette_wheel.
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*/
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const EOT& operator()(const eoPop<EOT>& _pop)
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{
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return roulette_wheel(_pop, total) ;
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}
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private :
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typename EOT::Fitness total;
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typename EOT::Fitness total;
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};
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#endif
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