public void CreateNewGeneration()
{
int maxSize = 20;
var pop = new SpeciedPopulation(maxSize, maxSize, chromosome, strat, 2);
pop.CreateInitialGeneration();
var list = new List <IChromosome>(10);
for (int i = 0; i < maxSize; i++)
{
list.Add(chromosome.CreateNew());
}
pop.CreateNewGeneration(list);
Assert.AreEqual(2, pop.Species.Count);
Assert.AreEqual(0u, pop.Species[0].ID);
Assert.AreEqual(1u, pop.Species[1].ID);
var concatSpecies = pop.Species[0].CurrentGeneration.Chromosomes.Concat(
pop.Species[1].CurrentGeneration.Chromosomes).ToList();
var chroms = pop.CurrentGeneration.Chromosomes;
Assert.AreEqual(chroms.Count, concatSpecies.Count);
for (int i = 0; i < concatSpecies.Count; i++)
{
Assert.IsTrue(chroms.Contains(concatSpecies[i]));
}
}
public void TestInit()
{
int minSpecieSize = 2;
int maxSize = 12;
Population = new SpeciedPopulation(
minSize: maxSize,
maxSize: maxSize,
adamChromosome: new FloatingPointChromosome(0, 1, 32, 2),
new SpeciationStrategy((a, b) => Math.Abs(TestHelpers.GetValue(a) - TestHelpers.GetValue(b)), 0.5),
minSpecieSize: minSpecieSize);
Population.CreateInitialGeneration();
double[] minValue = new double[] { 0 };
double[] maxValue = new double[] { 1 };
int[] totalBits = new int[] { 32 };
int[] fractionDigits = new int[] { 1 };
Population.Species[0].Centroid = new FloatingPointChromosome(
minValue, maxValue,
totalBits, fractionDigits,
new double[] { 0.0 });
Population.Species.Add(new Specie(minSpecieSize, maxSize, 1u, new FloatingPointChromosome(
minValue, maxValue,
totalBits, fractionDigits,
new double[] { 1.0 })));
Specie0 = Population.Species[0];
Specie1 = Population.Species[1];
// Divide up the species
Population.CreateNewGeneration(Population.CurrentGeneration.Chromosomes);
Assert.AreEqual(2, Population.Species.Count);
// Set Specie fitnesses
TestHelpers.SetFitnessesAndOrder(Specie0, 0);
TestHelpers.SetFitnessesAndOrder(Specie1, 1);
// Create an older specie for testing
OldSpecie = new Specie(minSpecieSize, maxSize, 2u, new FloatingPointChromosome(minValue, maxValue, totalBits, fractionDigits));
OldSpecie.CreateInitialGeneration();
TestHelpers.SetFitnessesAndOrder(OldSpecie, 0);
for (int i = 1; i < 15; i++)
{
OldSpecie.CreateNewGeneration(OldSpecie.CurrentGeneration.Chromosomes);
// Set the best chromosome to a different member
OldSpecie.CurrentGeneration.Chromosomes[i % OldSpecie.CurrentGeneration.Chromosomes.Count].Fitness = i;
OldSpecie.EndCurrentGeneration();
}
Crossover = new UniformCrossover(0);
}