public void SigmaScalingStrategy_Scale_Multiplier1()
{
GeneticAlgorithm algorithm = GetAlgorithm(5);
SigmaScalingStrategy strategy = new SigmaScalingStrategy {
Multiplier = 1
};
strategy.Initialize(algorithm);
SimplePopulation population = new SimplePopulation();
population.Initialize(algorithm);
PrivateObject populationAccessor = new PrivateObject(population, new PrivateType(typeof(Population)));
AddEntity(algorithm, 4, population);
AddEntity(algorithm, 10, population);
AddEntity(algorithm, 20, population);
AddEntity(algorithm, 0, population);
populationAccessor.SetField("rawMean", (double)(4 + 10 + 20) / 4);
populationAccessor.SetField("rawStandardDeviation", MathHelper.GetStandardDeviation(population.Entities, population.RawMean.Value, FitnessType.Raw));
strategy.Scale(population);
Assert.Equal(3.03, Math.Round(population.Entities[0].ScaledFitnessValue, 2));
Assert.Equal(9.03, Math.Round(population.Entities[1].ScaledFitnessValue, 2));
Assert.Equal(19.03, Math.Round(population.Entities[2].ScaledFitnessValue, 2));
Assert.Equal(0, Math.Round(population.Entities[3].ScaledFitnessValue, 2));
}
public void SigmaScalingStrategy_Scale_NullPopulation()
{
GeneticAlgorithm algorithm = GetAlgorithm(10);
SigmaScalingStrategy op = new SigmaScalingStrategy();
op.Initialize(algorithm);
Assert.Throws <ArgumentNullException>(() => op.Scale(null));
}
public void SigmaScalingStrategy_Scale_EmptyPopulation()
{
GeneticAlgorithm algorithm = GetAlgorithm(10);
SigmaScalingStrategy op = new SigmaScalingStrategy();
op.Initialize(algorithm);
SimplePopulation population = new SimplePopulation();
population.Initialize(algorithm);
Assert.Throws <ArgumentException>(() => op.Scale(population));
}
public void SigmaScalingStrategy_Ctor_NullAlgorithm()
{
SigmaScalingStrategy strategy = new SigmaScalingStrategy();
Assert.Throws <ArgumentNullException>(() => strategy.Initialize(null));
}