private static void TestFixePopulation(string objective, int populationLimit, int generationLimit)
{
var population = new PopulationCrafter(objective.Length);
var individuals = population.CreateFirstPopulation(populationLimit);
PopulationFitnessHelper.CalculateFitness(objective, individuals);
individuals.Sort(new IndividualComparer());
var bestIndividuals = individuals.OrderByDescending(x => x.Fitness).Take(50).ToPopulation();
double bestFitness = 0;
var countGenerations = 0;
do
{
countGenerations++;
population.ProcreateBySelectedPopulation(bestIndividuals, populationLimit);
PopulationFitnessHelper.CalculateFitness(objective, population.Individuals);
population.Individuals.Sort(new IndividualComparer());
bestIndividuals = population.Individuals.OrderByDescending(x => x.Fitness).Take(50).ToPopulation();
var firstIndividual = bestIndividuals.FirstOrDefault();
PrintIndividualProfile(firstIndividual);
bestFitness = firstIndividual.Fitness;
} while (bestFitness < 100 && countGenerations < generationLimit);
Console.WriteLine($"generations: {countGenerations}");
}
private static void TestAutoGeneratePopulation(string objective, int populationLimit, int generationLimit)
{
var population = new PopulationCrafter(objective.Length, 3, 0.15);
population.Individuals = new Population()
{
population.CreateIndividual(), population.CreateIndividual()
};
double bestFitness = 0;
var countGenerations = 0;
do
{
countGenerations++;
population.ProcreateByOldPopulation();
PopulationFitnessHelper.CalculateFitness(objective, population.Individuals);
population.Individuals.Sort(new IndividualComparer());
var bestIndividual = population.Individuals.Last();
PrintIndividualProfile(bestIndividual);
bestFitness = bestIndividual.Fitness;
while (population.Individuals.Count > populationLimit)
{
population.EliminateWeaks(800);
}
} while (bestFitness < 100 && countGenerations < generationLimit);
Console.WriteLine($"generations: {countGenerations}");
}
