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Init version

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Aleksey M. Mukhin
2024-10-03 18:43:04 +07:00
commit f80052961f
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processor/Processor.cpp Normal file
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#include "Processor.h"
#include "Settings.h"
#include "../population/Population.h"
#include "../individual/Phenotype.h"
#include "../individual/genome/strategies/GenotypeToPhenotypeStrategy.h"
#include <fstream>
#include <string>
#include <sstream>
void Processor::test(/*int initPSize, int steps*/){
std::ofstream statFile("statFile.txt");
std::string stat;
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
int maxGenerations = Settings::Iterations;
int initPopSize = Settings::InitPopSize;
AsexualPopulation population(initPopSize);
population.setBreedingStrategy(PopulationBreedingStrategy::getInstance(Settings::BreedingStrategy));
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD>
for(int i = 0; i < maxGenerations; i++){
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> (<28><><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><> <20><><EFBFBD><EFBFBD>)
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD>
population.calculateFitnessAll();
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
population.breedAll();
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
population.mutationAll();
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> (<28><><EFBFBD><EFBFBD> <20><><EFBFBD>)
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD> (<28><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20> <20>.<2E>.)
population.selectionAll();
//--- <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> ---
stat = population.getSatistics();
statFile<<stat<<std::endl;
if(Settings::WRITE_FULL_STATISTICS_TO_FILE){
std::stringstream ss;
ss<<"generation."<<(i)<<".txt";
std::ofstream genFile(ss.str().c_str());
population.putGeneticStatisticsToStream(genFile);
genFile.close();
}
//------------------
}
statFile.close();
}
void Processor::test01(/*int initPSize, int steps*/){
std::ofstream statFile("statFile.txt");
std::string stat;
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
int maxGenerations = Settings::Iterations;
long initPopSize = Settings::InitPopSize;
long int maxIndivids = Settings::KMaxParameter;
Position3D<double> position(0, 0, 0, 1000, 1000, 1000);
Region region(position, maxIndivids);
AsexualPopulation population(initPopSize);
population.setBreedingStrategy(PopulationBreedingStrategy::getInstance(Settings::BreedingStrategy));
population.setRegion(&region);
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD>
for(int i = 0; i < maxGenerations; i++){
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> (<28><><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><> <20><><EFBFBD><EFBFBD>)
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD>
population.calculateFitnessAll();
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
population.breedAll();
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
population.mutationAll();
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> (<28><><EFBFBD><EFBFBD> <20><><EFBFBD>)
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD> (<28><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20> <20>.<2E>.)
population.selectionAll();
//--- <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> ---
stat = population.getSatistics();
statFile<<stat<<std::endl;
if(Settings::WRITE_FULL_STATISTICS_TO_FILE){
std::stringstream ss;
ss<<"generation."<<(i)<<".txt";
std::ofstream genFile(ss.str().c_str());
population.putGeneticStatisticsToStream(genFile);
genFile.close();
}
//------------------
}
statFile.close();
}
///
void Processor::testInOutBreeding01(){
std::ofstream statFile("statFile.txt");
std::string stat;
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
int maxGenerations = Settings::Iterations;
long initPopSize = Settings::InitPopSize;
long int maxIndivids = Settings::KMaxParameter;
Position3D<double> position(0, 0, 0, 1000, 1000, 1000);
Region region(position, maxIndivids);
srand(0);
int RANGE = 1000;
int PRECISION = 10;
float gValue;
std::vector<Individual*> individs;
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
for(int i = 0; i < maxIndivids/2; i++){
// <20><><EFBFBD><EFBFBD><EFBFBD>
std::vector<Chromosome> fGenome;
std::vector<Chromosome> mGenome;
std::vector<Chromosome> chroms;
for(int j = 0; j < 2; j++){
// <20><><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
RANGE = 10;
gValue = (float)(rand()%(RANGE*PRECISION+1))/PRECISION;
Gene geneF1(Gene::Continious, "A coadaptive", gValue);
gValue = (float)(rand()%(RANGE*PRECISION+1))/PRECISION;
Gene geneF2(Gene::Continious, "B coadaptive", gValue);
RANGE = 2;
gValue = (rand()%(RANGE + 1)) / (float) RANGE;
Gene geneF3(Gene::Continious, "C disease", gValue);
gValue = (rand()%(RANGE + 1)) / (float) RANGE;
Gene geneF4(Gene::Continious, "D disease", gValue);
gValue = (rand()%(RANGE + 1)) / (float) RANGE;
Gene geneF5(Gene::Continious, "E disease", gValue);
gValue = (rand()%(RANGE + 1)) / (float) RANGE;
Gene geneF6(Gene::Continious, "F disease", gValue);
Chromosome chromF("Chrom 1"); // <20><><EFBFBD><EFBFBD> / <20><><EFBFBD><EFBFBD>
chromF.insertGeneToEnd(geneF1);
chromF.insertGeneToEnd(geneF2);
chromF.insertGeneToEnd(geneF3);
chromF.insertGeneToEnd(geneF4);
chromF.insertGeneToEnd(geneF5);
chromF.insertGeneToEnd(geneF6);
chroms.push_back(chromF);
} // (END) for(int i = 0; i < 2; i++)
fGenome.push_back(chroms.at(0));
mGenome.push_back(chroms.at(1));
Genotype* genotype = new Genotype(fGenome, mGenome);
// (END) <20><><EFBFBD><EFBFBD><EFBFBD>
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
Trait trait1(Trait::Continious, "coadaptive", 0.0f);
Trait trait2(Trait::Continious, "disease", 0.0f);
Phenotype* phenotype = new Phenotype(trait1);
phenotype->addTrait(trait2);
// (END) <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
// <20><><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
InnerSubstratesPool* subPool = 0;
// (END) <20><><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
Individual* newInd = new Individual(genotype, phenotype, subPool, Individual::hermaphrodite, 0);
newInd->setGenToPhenStrategy(GenotypeToPhenotypeStrategies::getInstance("inoutbreeding"));
individs.push_back(newInd);
} // (END) for(int i = 0; i < size; i++)
AsexualPopulation population(individs);
population.setBreedingStrategy(PopulationBreedingStrategy::getInstance("inoutbreeding"));
population.setRegion(&region);
// (END) <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD>
for(int i = 0; i < maxGenerations; i++){
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
population.breedAll();
//--- <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> ---
stat = population.getSatistics();
statFile<<stat<<std::endl;
if(Settings::WRITE_FULL_STATISTICS_TO_FILE){
std::stringstream ss;
std::stringstream ss2;
ss<<"generation."<<(i)<<".xls";
ss2<<"generation."<<(i)<<".txt";
std::ofstream genFile(ss.str().c_str());
std::ofstream genFile2(ss2.str().c_str());
population.putGeneticStatisticsToStream(genFile);
population.putGeneticSimpleStatisticsToStream(genFile2);
genFile.close();
genFile2.close();
}
//------------------
}
statFile.close();
}
/////////////////////////////////////////////////////
void Processor::testInOutBreeding02(){
std::ofstream statFile("statFile.txt");
std::string stat;
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
int maxGenerations = Settings::Iterations;
long initPopSize = Settings::InitPopSize;
float ratioBetweenPops = Settings::InitRatioBetweenPops;
long int maxIndivids = Settings::KMaxParameter;
Position3D<double> position(0, 0, 0, 1000, 1000, 1000);
Region region(position, maxIndivids);
srand(0);
int RANGE = 1000;
int PRECISION = 10;
float gValue;
std::vector<Individual*> individs;
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> - <20><><EFBFBD><EFBFBD><EFBFBD> 1
for(int i = 0; i < initPopSize*ratioBetweenPops; i++){
// <20><><EFBFBD><EFBFBD><EFBFBD>
std::vector<Chromosome> fGenome;
std::vector<Chromosome> mGenome;
std::vector<Chromosome> chroms;
for(int j = 0; j < 2; j++){
// <20><><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
RANGE = 10;
gValue = (float)(rand()%(RANGE*PRECISION+1))/PRECISION;
Gene geneF1(Gene::Continious, "A coadaptive", gValue);
gValue = (float)(rand()%(RANGE*PRECISION+1))/PRECISION;
Gene geneF2(Gene::Continious, "B coadaptive", gValue);
RANGE = 2;
gValue = (rand()%(RANGE*PRECISION + 1)) / (float) RANGE / PRECISION;
Gene geneF3(Gene::Continious, "C disease", gValue);
gValue = (rand()%(RANGE*PRECISION + 1)) / (float) RANGE / PRECISION;
Gene geneF4(Gene::Continious, "D disease", gValue);
gValue = (rand()%(RANGE*PRECISION + 1)) / (float) RANGE / PRECISION;
Gene geneF5(Gene::Continious, "E disease", gValue);
gValue = (rand()%(RANGE*PRECISION + 1)) / (float) RANGE / PRECISION;
Gene geneF6(Gene::Continious, "F disease", gValue);
Chromosome chromF("Chrom 1"); // <20><><EFBFBD><EFBFBD> / <20><><EFBFBD><EFBFBD>
chromF.insertGeneToEnd(geneF1);
chromF.insertGeneToEnd(geneF2);
chromF.insertGeneToEnd(geneF3);
chromF.insertGeneToEnd(geneF4);
chromF.insertGeneToEnd(geneF5);
chromF.insertGeneToEnd(geneF6);
chroms.push_back(chromF);
} // (END) for(int i = 0; i < 2; i++)
fGenome.push_back(chroms.at(0));
mGenome.push_back(chroms.at(1));
Genotype* genotype = new Genotype(fGenome, mGenome);
// (END) <20><><EFBFBD><EFBFBD><EFBFBD>
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
Trait trait1(Trait::Continious, "coadaptive", 0.0f);
Trait trait2(Trait::Continious, "disease", 0.0f);
Phenotype* phenotype = new Phenotype(trait1);
phenotype->addTrait(trait2);
// (END) <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
Individual* newInd = new Individual(genotype, phenotype, 0, Individual::hermaphrodite, 0);
newInd->setGenToPhenStrategy(GenotypeToPhenotypeStrategies::getInstance("inoutbreeding"));
individs.push_back(newInd);
} // (END) for(int i = 0; i < size; i++)
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> - <20><><EFBFBD><EFBFBD><EFBFBD> 2
for(int i = 0; i < initPopSize; i++){
// <20><><EFBFBD><EFBFBD><EFBFBD>
std::vector<Chromosome> fGenome;
std::vector<Chromosome> mGenome;
std::vector<Chromosome> chroms;
for(int j = 0; j < 2; j++){
// <20><><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
RANGE = 10;
gValue = -(float)(rand()%(RANGE*PRECISION+1))/PRECISION;
Gene geneF1(Gene::Continious, "A coadaptive", gValue);
gValue = -(float)(rand()%(RANGE*PRECISION+1))/PRECISION;
Gene geneF2(Gene::Continious, "B coadaptive", gValue);
PRECISION=1;
RANGE = 2;
gValue = (rand()%(RANGE*PRECISION + 1)) / (float) RANGE / PRECISION;
Gene geneF3(Gene::Continious, "C disease", gValue);
gValue = (rand()%(RANGE*PRECISION + 1)) / (float) RANGE / PRECISION;
Gene geneF4(Gene::Continious, "D disease", gValue);
gValue = (rand()%(RANGE*PRECISION + 1)) / (float) RANGE / PRECISION;
Gene geneF5(Gene::Continious, "E disease", gValue);
gValue = (rand()%(RANGE*PRECISION + 1)) / (float) RANGE / PRECISION;
Gene geneF6(Gene::Continious, "F disease", gValue);
Chromosome chromF("Chrom 1"); // <20><><EFBFBD><EFBFBD> / <20><><EFBFBD><EFBFBD>
chromF.insertGeneToEnd(geneF1);
chromF.insertGeneToEnd(geneF2);
chromF.insertGeneToEnd(geneF3);
chromF.insertGeneToEnd(geneF4);
chromF.insertGeneToEnd(geneF5);
chromF.insertGeneToEnd(geneF6);
chroms.push_back(chromF);
} // (END) for(int i = 0; i < 2; i++)
fGenome.push_back(chroms.at(0));
mGenome.push_back(chroms.at(1));
Genotype* genotype = new Genotype(fGenome, mGenome);
// (END) <20><><EFBFBD><EFBFBD><EFBFBD>
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
Trait trait1(Trait::Continious, "coadaptive", 0.0f);
Trait trait2(Trait::Continious, "disease", 0.0f);
Phenotype* phenotype = new Phenotype(trait1);
phenotype->addTrait(trait2);
// (END) <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
Individual* newInd = new Individual(genotype, phenotype, 0, Individual::hermaphrodite, 0);
newInd->setGenToPhenStrategy(GenotypeToPhenotypeStrategies::getInstance("inoutbreeding"));
individs.push_back(newInd);
} // (END) for(int i = 0; i < size; i++)
AsexualPopulation population(individs);
population.setBreedingStrategy(PopulationBreedingStrategy::getInstance("inoutbreeding"));
population.setRegion(&region);
// (END) <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> <20><><EFBFBD><EFBFBD>
for(int i = 0; i < maxGenerations; i++){
// <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
population.breedAll();
//--- <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD> ---
stat = population.getSatistics();
statFile<<stat<<std::endl;
if(Settings::WRITE_FULL_STATISTICS_TO_FILE){
std::stringstream ss;
std::stringstream ss2;
std::stringstream ss3;
ss<<"generation."<<(i)<<".xls";
ss2<<"generation."<<(i)<<".txt";
ss3<<"gmaxAB."<<(i)<<".txt";
std::ofstream genFile(ss.str().c_str());
std::ofstream genFile2(ss2.str().c_str());
std::ofstream genFile3(ss3.str().c_str());
population.putGeneticStatisticsToStream(genFile);
population.putGeneticSimpleStatisticsToStream(genFile2);
population.putGeneticMaxModuleStatisticsToStream(genFile3);
genFile.close();
genFile2.close();
genFile3.close();
}
//------------------
}
statFile.close();
}