public void CalculateAndAssignFitness_PartialPopulation_CalculatesFitnessesCorrectly()
{
var nsga2 = new Nsga2(minimise, 20, new FastNonDominatedSort());
nsga2.CalculateAndAssignFitness(individuals);
foreach (var ind in individuals)
{
Assert.True(ind.Fitness >= ind.SolutionVector.Aggregate((x, y) => x + y + 2));
}
}
public void CalculateAndAssignFitness_PopulationSize6_CalculatesFitnessesCorrectly()
{
var nsga2 = new Nsga2(minimise, 6, new FastNonDominatedSort());
nsga2.CalculateAndAssignFitness(individuals);
Assert.Equal(1.0, individuals.ElementAt(0).Fitness);
Assert.Equal(2.0, individuals.ElementAt(1).Fitness);
Assert.Equal(1.0, individuals.ElementAt(2).Fitness);
Assert.True(individuals.ElementAt(3).Fitness > 2 && individuals.ElementAt(0).Fitness < 3); // This one is in the middle
Assert.Equal(1.0, individuals.ElementAt(4).Fitness);
Assert.Equal(3.0, individuals.ElementAt(5).Fitness);
Assert.Equal(2.0, individuals.ElementAt(6).Fitness);
Assert.Equal(1.0, individuals.ElementAt(7).Fitness);
Assert.Equal(3.0, individuals.ElementAt(8).Fitness);
}
public void CalculateAndAssignFitness_PopulationSize7_CalculatesFitnessesCorrectly()
{
var nsga2 = new Nsga2(minimise, 7, new FastNonDominatedSort());
nsga2.CalculateAndAssignFitness(individuals);
// Population size is exactly same size as front 1 + front 2.
Assert.Equal(1.0, individuals.ElementAt(0).Fitness);
Assert.Equal(2.0, individuals.ElementAt(1).Fitness);
Assert.Equal(1.0, individuals.ElementAt(2).Fitness);
Assert.Equal(2.0, individuals.ElementAt(3).Fitness);
Assert.Equal(1.0, individuals.ElementAt(4).Fitness);
Assert.Equal(3.0, individuals.ElementAt(5).Fitness);
Assert.Equal(2.0, individuals.ElementAt(6).Fitness);
Assert.Equal(1.0, individuals.ElementAt(7).Fitness);
Assert.Equal(3.0, individuals.ElementAt(8).Fitness);
}
