public void GenerateIndividual()
{
for (int cityIndex = 0; cityIndex < RouteManager.NumberOfCities; cityIndex++)
{
SetCity(cityIndex, RouteManager.GetCity(cityIndex));
}
tour.Shuffle();
}
static void Main(string[] args)
{
GeneticAlgorithm.NumberOfTours = 50;
int numberOfCities, step2, step3, step4;
Console.Write("Number of cities:");
numberOfCities = int.Parse(Console.ReadLine());
Console.Write("Step one:");
step2 = int.Parse(Console.ReadLine());
Console.Write("Step two:");
step3 = int.Parse(Console.ReadLine());
Console.Write("Step three:");
step4 = int.Parse(Console.ReadLine());
for (int i = 0; i < numberOfCities; i++)
{
var city = new City();
RouteManager.AddCity(city);
}
var population = new Population(GeneticAlgorithm.NumberOfTours, true);
//get the distance before the evolution
Console.WriteLine("First distance: " + population.GetFittest().Distance);
population = GeneticAlgorithm.EvolutionOfPopulation(population);
for (int i = 0; i < 100; i++)
{
population = GeneticAlgorithm.EvolutionOfPopulation(population);
//10-th step and 3 more
if (i == step2 || i == step3 || i == step4 || i == 10)
{
Console.WriteLine("Distance at " + i + " th generation: " + population.GetFittest().Distance);
}
}
//last step
Console.WriteLine("Last distance: " + population.GetFittest().Distance);
Console.WriteLine("Best distance:");
Console.WriteLine(population.GetFittest());
}
