101 lines
3.2 KiB
C++
101 lines
3.2 KiB
C++
#include "../GenotypeToPhenotypeStrategy.h"
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#include "../../../../processor/Settings.h"
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#include <cmath>
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void InOutBreedingGenotypeToPhenotypeStrategy::calculatePhenotype(Individual* individ){
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Genotype* genotype = individ->genotype;
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Phenotype* phenotype = individ->phenotype;
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InnerSubstratesPool* substrates = individ->substrateCache;
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// Chromosome 1
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Chromosome chr1F = individ->genotype->getFatherGenome().getChromosome(0);
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Chromosome chr1M = individ->genotype->getMotherGenome().getChromosome(0);
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const std::vector<Gene>& genesF = chr1F.getGenesAsVector();
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const std::vector<Gene>& genesM = chr1M.getGenesAsVector();
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// Êîàäàïòèâíûå àëëåëè
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float a1 = genesF.at(0).getGeneValueCont();
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float a2 = genesM.at(0).getGeneValueCont();
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float b1 = genesF.at(1).getGeneValueCont();
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float b2 = genesM.at(1).getGeneValueCont();
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// (END) Êîàäàïòèâíûå àëëåëè
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// Àëëåëè áîëåçíè
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std::vector<float> diseaseAllelesF(4);
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std::vector<float> diseaseAllelesM(4);
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for(unsigned int i = 0; i < diseaseAllelesF.size(); i++){
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diseaseAllelesF.at(i) = genesF.at(i+2).getGeneValueCont();
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diseaseAllelesM.at(i) = genesM.at(i+2).getGeneValueCont();
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}
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// (END) Àëëåëè áîëåçíè
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// Êîìáèíàòîðèêà
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float trait1 = 0, trait2 = 0;
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float a, b;
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// 1) Êîàäàïòèâíûå ãåíû
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if(Settings::CoadaptiveGenesInteraction == "onechromosome"){
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// 1.1 Ðàáîòàþò ãåíû ñ îäíîé òîëüêî õðîìîñîìû
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a = a1;
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b = b1;
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}
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else if(Settings::CoadaptiveGenesInteraction == "mean"){
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// 1.2 Ñðåäíåå ïðîÿâëåíèå ïðèçíàêà
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a = 0.5f*(a1+a2);
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b = 0.5f*(b1+b2);
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}
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else{ // Settings::CoadaptiveGenesInteraction == "maxmodule"
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// 1.3 Ìàêñèìóì ìîäóëÿ
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a = std::fabs(a1) >= std::fabs(a2) ? a1 : a2;
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b = std::fabs(b1) >= std::fabs(b2) ? b1 : b2;
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}
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// Ïðèçíàê 1
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trait1 = std::max(a*b - (fabs(a*a*a) + fabs(b*b*b))/20, 0.0f);
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//trait1 = std::max(a*b - (a*a*a*a + b*b*b*b)/250, 0.0f);
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// 2) Ãåíû áîëåçíè
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if(Settings::DiseaseGenesInteraction == "add1"){
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// 2.1à Àääèòèâíî
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float sum1 = 0.0f, sum2 = 0.0f;
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for(unsigned int i = 0; i < diseaseAllelesF.size(); i++){
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sum1 += diseaseAllelesF.at(i);
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sum2 += diseaseAllelesM.at(i);
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}
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trait2 = std::max(sum1,sum2);
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}
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else if(Settings::DiseaseGenesInteraction == "addmax"){
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// 2.1á Àääèòèâíî (àëüò)
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for(unsigned int i = 0; i < diseaseAllelesF.size(); i++){
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trait2 += std::max(diseaseAllelesF.at(i), diseaseAllelesM.at(i));
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}
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}
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else if(Settings::DiseaseGenesInteraction == "mult"){
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// 2.2 Ìóëüòèïëèêàòèâíî
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for(unsigned int i = 0; i < diseaseAllelesF.size(); i++){
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trait2 *= std::max(diseaseAllelesF.at(i), diseaseAllelesM.at(i));
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}
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}
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else if(Settings::DiseaseGenesInteraction == "meanadd"){
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// 2.3à Ñðåäíåå çíà÷åíèå (àääèòèâíî)
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for(unsigned int i = 0; i < diseaseAllelesF.size(); i++){
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trait2 += diseaseAllelesF.at(i) + diseaseAllelesM.at(i);
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}
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trait2 /= 2.0f;
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}
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else{// if(Settings::DiseaseGenesInteraction == "meanmult"){
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// 2.3á Ñðåäíåå çíà÷åíèå (ìóëüòèïëèêàòèâíî)
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for(unsigned int i = 0; i < diseaseAllelesF.size(); i++){
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trait2 *= (diseaseAllelesF.at(i) + diseaseAllelesM.at(i))/2;
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}
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}
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// Ïðèçíàêè ïåðåäàþòñÿ â ôåíîòèï
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phenotype->traitsMap["coadaptive"].setTraitValue(trait1);
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phenotype->traitsMap["disease"].setTraitValue(trait2);
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} |