void GeneticAlgorithm::run() { Population p = createBasePopulation(); p.process(); generations.push_back(p); double fitness = 0.001; int generation = 0; while(generation < params.generations){ //p.printChromos(); generation++; p = p.tournament_selection(generation); p.crossover_selection(params.crossoverPercent); p.mutation(params.mutationPercent); p.process(); p.calcDiversity(); //p.printBestCandidate(); // std::cout << "Min Fitness: " << p.minFitness << std::endl; // std::cout << "Max Fitness: " << p.maxFitness << std::endl; generations.push_back(p); } generations.back().printBestCandidate(); //resultToFile(); resultAsJson(); }