本文整理汇总了C++中GAPopulation::evolve方法的典型用法代码示例。如果您正苦于以下问题：C++ GAPopulation::evolve方法的具体用法？C++ GAPopulation::evolve怎么用？C++ GAPopulation::evolve使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类GAPopulation的用法示例。
在下文中一共展示了GAPopulation::evolve方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: main
int main(int argc, const char * argv[])
{
srand((unsigned)time(NULL));
printf("Running Genetic Algorithm...\n");
printf("Target Genes: %s\n", kTargetGenes.c_str());
printf("Population Size: %d\n", kPopulationSize);
printf("Elitism: %s\n", (kElitismEnabled ? "true" : "false"));
printf("Elitism Percentage: %d%%\n", kElitismPercentage);
printf("Mutation Probability: %d%%\n", kMutationProbability);
printf("Crossover Probability: %d%%\n\n", kCrossoverProbability);
GAPopulation population = GAPopulation(kPopulationSize, kTargetGenes);
population.elitismEnabled = kElitismEnabled;
population.tournamentSize = kTournamentSize;
population.elitismPercentage = PERCENTAGE(kElitismPercentage);
population.mutationProbability = PERCENTAGE(kMutationProbability);
population.crossoverProbability = PERCENTAGE(kCrossoverProbability);
population.selectionType = GAPopulationSelectionType::GAPopulationSelectionTypeTournament;
population.crossoverType = GAPopulationCrossoverType::GAPopulationCrossoverTypeOnePoint;
population.evolve();
return 0;
}