public void ProportionateParentSelection_VerifySelectionProbability()
{
var random = new DefaultRandomNumberGenerator("seed".GetHashCode());
var population = new Population(11);
var index = 0;
population.Fill(() => new TestPhenotype(index, index++));
population.Sort(EAMode.MaximizeFitness);
var selection = new ProportionateParentSelection();
var selected = selection.SelectParents(population, 275000, EAMode.MaximizeFitness, random);
var bucket = new int[population.Size];
foreach (var(a, b) in selected)
{
bucket[((TestPhenotype)a).Index]++;
bucket[((TestPhenotype)b).Index]++;
}
for (int i = 0; i < bucket.Length; i++)
{
bucket[i].Should().BeCloseTo(i * 10000, 1000);
}
}
public void SelectParentsShouldSelectCorrectNumber()
{
var random = new DefaultRandomNumberGenerator("seed".GetHashCode());
var population = new Population(20);
for (int i = 0; i < population.Size; i++)
{
var pmock = new Mock <IPhenotype>();
pmock.SetupGet(p => p.Fitness).Returns(i);
pmock.SetupGet(p => p.IsEvaluated).Returns(true);
population.Add(pmock.Object);
}
var selection = new ProportionateParentSelection();
var selected = selection.SelectParents(population, 20, EAMode.MaximizeFitness, random);
selected.Count().Should().Be(20);
}
