public void FindsSimpleSolution()
{
var random = new SystemRandom(42);
var factory = new SimpleGenomeFactory(random);
var selection = new BinaryTournamentSelection(random);
Environment environment = new SimpleEnvironment();
Ranking ranking = new CrowdingDistanceRanking(1);
var evolution = new Evolution(100, 0.4, 0.4, factory, selection);
var genomes = evolution.Initialize();
double score = 0;
for (int i = 0; i < 100; i++)
{
// evaluate
var population = genomes.Select(environment.Evaluate).ToList();
// rank
ranking.Rank(population);
// keep score
var best = population[0];
Console.WriteLine(best);
score = best.GetScore(0);
// evolve
genomes = evolution.Evolve(population, random);
}
Assert.Greater(score, 30);
}
public void A_settlement_with_three_neighbours_will_live_through_evolution()
{
var expected = new Settlement(1, 1);
var evolution = Evolution.Evolve(new List <Settlement> {
new Settlement(0, 1), expected, new Settlement(2, 1), new Settlement(1, 2)
});
Assert.Contains(expected, evolution.ToList());
}
static void Main(string[] args)
{
//var t = new Tournament();
//t.Giostra();
//t.Sort();
//t.ShowResults();
var e = new Evolution();
e.Evolve();
}
public void NewGeneration()
{
var best = Evolution.Evolve() as CarGenotype;
if (best.CheckpointsPassed > lastBestFitness)
{
lastBestFitness = best.CheckpointsPassed;
var str = "";
for (int i = 0; i < best.Parameters.Length; i++)
{
str += best.Parameters[i].ToString("0.###################################") + ";";
}
File.WriteAllText("C:/temp/ki.txt", str);
}
UpdateCarEntities();
}
