public void FitnessProportionateSelectionOperator_SelectEntitiesFromPopulation_NullPopulation()
{
FitnessProportionateSelectionOperator op = new FitnessProportionateSelectionOperator();
PrivateObject accessor = new PrivateObject(op);
Assert.Throws <ArgumentNullException>(() => accessor.Invoke("SelectEntitiesFromPopulation", (int)0, (Population)null));
}
public void FitnessProportionateSelectionOperator_Select_MinimizeFitness()
{
GeneticAlgorithm algorithm = GetAlgorithm();
((MockFitnessEvaluator)algorithm.FitnessEvaluator).EvaluationMode = FitnessEvaluationMode.Minimize;
FitnessProportionateSelectionOperator op = new FitnessProportionateSelectionOperator();
op.Initialize(algorithm);
SimplePopulation population = new SimplePopulation();
population.Initialize(algorithm);
MockEntity entity1 = new MockEntity();
entity1.Initialize(algorithm);
entity1.ScaledFitnessValue = 1; // Slice size: 5
MockEntity entity2 = new MockEntity();
entity2.Initialize(algorithm);
entity2.ScaledFitnessValue = 5; // Slice size: 1
MockEntity entity3 = new MockEntity();
entity3.Initialize(algorithm);
entity3.ScaledFitnessValue = 4; // Slice size: 4
population.Entities.Add(entity1);
population.Entities.Add(entity2);
population.Entities.Add(entity3);
FakeRandomUtil randomUtil = new FakeRandomUtil();
RandomNumberService.Instance = randomUtil;
randomUtil.RandomRatio = 0;
IList <GeneticEntity> selectedEntities = op.SelectEntities(1, population).ToList();
Assert.Same(entity2, selectedEntities[0]);
randomUtil.RandomRatio = .099999;
selectedEntities = op.SelectEntities(1, population);
Assert.Same(entity2, selectedEntities[0]);
randomUtil.RandomRatio = .1;
selectedEntities = op.SelectEntities(1, population);
Assert.Same(entity3, selectedEntities[0]);
randomUtil.RandomRatio = .499999;
selectedEntities = op.SelectEntities(1, population);
Assert.Same(entity3, selectedEntities[0]);
randomUtil.RandomRatio = .5;
selectedEntities = op.SelectEntities(1, population);
Assert.Same(entity1, selectedEntities[0]);
randomUtil.RandomRatio = 1;
selectedEntities = op.SelectEntities(1, population);
Assert.Same(entity1, selectedEntities[0]);
}
public void FitnessProportionateSelectionOperator_Select()
{
GeneticAlgorithm algorithm = GetAlgorithm();
FitnessProportionateSelectionOperator op = new FitnessProportionateSelectionOperator();
op.Initialize(algorithm);
SimplePopulation population = new SimplePopulation();
population.Initialize(algorithm);
MockEntity entity1 = new MockEntity();
entity1.Initialize(algorithm);
entity1.ScaledFitnessValue = 1;
MockEntity entity2 = new MockEntity();
entity2.Initialize(algorithm);
entity2.ScaledFitnessValue = 5;
MockEntity entity3 = new MockEntity();
entity3.Initialize(algorithm);
entity3.ScaledFitnessValue = 4;
population.Entities.Add(entity1);
population.Entities.Add(entity2);
population.Entities.Add(entity3);
FakeRandomUtil randomUtil = new FakeRandomUtil();
RandomNumberService.Instance = randomUtil;
randomUtil.RandomRatio = 0;
IList <GeneticEntity> selectedEntities = op.SelectEntities(1, population);
Assert.Same(entity1, selectedEntities[0]);
randomUtil.RandomRatio = .099999;
selectedEntities = op.SelectEntities(1, population);
Assert.Same(entity1, selectedEntities[0]);
randomUtil.RandomRatio = .1;
selectedEntities = op.SelectEntities(1, population);
Assert.Same(entity2, selectedEntities[0]);
randomUtil.RandomRatio = .599999;
selectedEntities = op.SelectEntities(1, population);
Assert.Same(entity2, selectedEntities[0]);
randomUtil.RandomRatio = .6;
selectedEntities = op.SelectEntities(1, population);
Assert.Same(entity3, selectedEntities[0]);
randomUtil.RandomRatio = 1;
selectedEntities = op.SelectEntities(1, population);
Assert.Same(entity3, selectedEntities[0]);
}