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 TestSelect()
{
var population = new List <Genotype>()
{
new Genotype(new[] { 0 })
{
Cost = 0
},
new Genotype(new[] { 1 })
{
Cost = 1
},
new Genotype(new[] { 2 })
{
Cost = 2
},
new Genotype(new[] { 3 })
{
Cost = 3
},
new Genotype(new[] { 4 })
{
Cost = 4
},
};
var selection = new BinaryTournamentSelection(new TestNumberGenerator());
var expected = new List <(Genotype, Genotype)>
{
(population[0], population[2]),
(population[0], population[1]),
(population[3], population[0]),
};
var actual = selection.SelectParents(population, 3);
Assert.IsTrue(expected.SequenceEqual(actual));
}
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 writer = File.CreateText("stats.csv");
var evolution = new ElitistEvolution(100, 20, factory, environment, 1, writer);
var genomes = evolution.Initialize();
double score = 0;
for (int i = 0; i < 100; i++)
{
genomes = evolution.Evolve(genomes, random);
}
writer.Close();
Assert.Greater(score, 30);
}
