128 lines
4.2 KiB
C++
128 lines
4.2 KiB
C++
#include "Settings.h"
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#include "../population/Population.h"
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#include "../individual/Phenotype.h"
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#include "../individual/genome/strategies/GenotypeToPhenotypeStrategy.h"
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#include <fstream>
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#include <string>
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#include <sstream>
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#include <QGlobal.h>
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#include <QTime>
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#include "KolchShindyalov.h"
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void KolchShindyalov::test01(){
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std::ofstream statFile("statFile.txt");
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std::string stat;
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std::cout << "Kolch" << std::endl;
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// Èíèöèàëèçàöèÿ
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int maxGenerations = Settings::Iterations;
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long initPopSize = Settings::InitPopSize;
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float ratioBetweenPops = Settings::InitRatioBetweenPops;
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long int maxIndivids = Settings::KMaxParameter;
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Position3D<double> position(0, 0, 0, 1000, 1000, 1000);
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Region region(position, maxIndivids);
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qsrand(0);
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int RANGE = 1000;
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int PRECISION = 10;
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float gValue;
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std::vector<Individual*> individs;
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// Ñòîõàñòè÷åñêîå ñîçäàíèå ïîïóëÿöèè
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for(int i = 0; i < initPopSize; i++){
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// Ãåíîì
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std::vector<Chromosome> fGenome;
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std::vector<Chromosome> mGenome;
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std::vector<Chromosome> chroms;
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for(int j = 0; j < 2; j++){
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//float gValue
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// Îäíà õðîìîñîìà ñ øåñòüþ ãåíàìè
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RANGE = 10;
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gValue = -(float)(qrand()%(RANGE*PRECISION+1))/PRECISION;
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Gene geneF1(Gene::Continious, "C1", gValue);
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gValue = -(float)(rand()%(RANGE*PRECISION+1))/PRECISION;
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Gene geneF2(Gene::Continious, "C2", gValue);
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PRECISION=1;
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RANGE = 2;
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gValue = (rand()%(RANGE*PRECISION + 1)) / (float) RANGE / PRECISION;
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Gene geneF3(Gene::Continious, "C3", gValue);
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gValue = (rand()%(RANGE*PRECISION + 1)) / (float) RANGE / PRECISION;
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Gene geneF4(Gene::Continious, "C4", gValue);
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gValue = (rand()%(RANGE*PRECISION + 1)) / (float) RANGE / PRECISION;
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Gene geneF5(Gene::Continious, "C5", gValue);
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gValue = (rand()%(RANGE*PRECISION + 1)) / (float) RANGE / PRECISION;
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Gene geneF6(Gene::Continious, "E", gValue);
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gValue = rand()%2;
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Gene geneF7(Gene::Discrete,"Feedback", gValue);
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Chromosome chromF("Chrom 1"); // ïàïà / ìàìà
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chromF.insertGeneToEnd(geneF1);
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chromF.insertGeneToEnd(geneF2);
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chromF.insertGeneToEnd(geneF3);
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chromF.insertGeneToEnd(geneF4);
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chromF.insertGeneToEnd(geneF5);
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chromF.insertGeneToEnd(geneF6);
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chromF.insertGeneToEnd(geneF7);
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chroms.push_back(chromF);
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} // (END) for(int i = 0; i < 2; i++)
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fGenome.push_back(chroms.at(0));
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mGenome.push_back(chroms.at(1));
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Genotype* genotype = new Genotype(fGenome, mGenome);
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// (END) Ãåíîì
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// Ôåíîòèï
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Trait trait1(Trait::Continious, "X", 10.0f);
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Trait trait2(Trait::Continious, "Xopt", 10.0f);
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Trait trait3(Trait::Continious, "sigmaX", 3.0f);
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Phenotype* phenotype = new Phenotype(trait1);
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phenotype->addTrait(trait2);
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phenotype->addTrait(trait3);
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// (END) Ôåíîòèï
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Individual* newInd = new Individual(genotype, phenotype, 0, Individual::hermaphrodite, 0);
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newInd->setGenToPhenStrategy(GenotypeToPhenotypeStrategies::getInstance("kolchan_shindyal_gen_to_phen"));
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newInd->setPhenToFitnessStrategy(PhenotypeToFitnessStrategy::getInstance("kolch_shindyal_phen_to_fit"));
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individs.push_back(newInd);
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} // (END) for(int i = 0; i < size; i++)
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AsexualPopulation population(individs);
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population.setBreedingStrategy(PopulationBreedingStrategy::getInstance("kolchan_shindyal_breeding"));
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population.setRegion(®ion);
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// (END) Ñîçäàíèå ïîïóëÿöèè
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// Èòåðàöèîííûé öèêë
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for(int i = 0; i < maxGenerations; i++){
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// Ðàçìíîæèòü
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population.breedAll();
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//--- Ñòàòèñòèêà ---
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stat = population.getSatistics();
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statFile<<stat<<std::endl;
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if(Settings::WRITE_FULL_STATISTICS_TO_FILE){
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std::stringstream ss;
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std::stringstream ss2;
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std::stringstream ss3;
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ss<<"generation."<<(i)<<".xls";
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ss2<<"generation."<<(i)<<".txt";
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ss3<<"gmaxAB."<<(i)<<".txt";
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std::ofstream genFile(ss.str().c_str());
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std::ofstream genFile2(ss2.str().c_str());
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std::ofstream genFile3(ss3.str().c_str());
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population.putGeneticStatisticsToStream(genFile);
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population.putGeneticSimpleStatisticsToStream(genFile2);
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population.putGeneticMaxModuleStatisticsToStream(genFile3);
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genFile.close();
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genFile2.close();
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genFile3.close();
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}
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//------------------
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}
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statFile.close();
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}
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