public void ExponentialScalingStrategy_UpdateScaledFitnessValues_NullPopulation()
{
ExponentialScalingStrategy strategy = new ExponentialScalingStrategy();
PrivateObject accessor = new PrivateObject(strategy);
Assert.Throws <ArgumentNullException>(() => accessor.Invoke("UpdateScaledFitnessValues", (Population)null));
}
public void ExponentialScalingStrategy_Scale()
{
GeneticAlgorithm algorithm = GetAlgorithm(2);
ExponentialScalingStrategy target = (ExponentialScalingStrategy)algorithm.FitnessScalingStrategy;
target.Initialize(algorithm);
SimplePopulation population = new SimplePopulation();
population.Initialize(algorithm);
MockEntity entity1 = new MockEntity();
entity1.Initialize(algorithm);
PrivateObject entity1Accessor = new PrivateObject(entity1, new PrivateType(typeof(GeneticEntity)));
entity1Accessor.SetField("rawFitnessValue", 5);
MockEntity entity2 = new MockEntity();
entity2.Initialize(algorithm);
PrivateObject entity2Accessor = new PrivateObject(entity2, new PrivateType(typeof(GeneticEntity)));
entity2Accessor.SetField("rawFitnessValue", 7);
population.Entities.Add(entity1);
population.Entities.Add(entity2);
target.Scale(population);
Assert.Equal((double)25, entity1.ScaledFitnessValue);
Assert.Equal((double)49, entity2.ScaledFitnessValue);
}
public void ExponentialScalingStrategy_Serialization()
{
ExponentialScalingStrategy strategy = new ExponentialScalingStrategy
{
ScalingPower = 5
};
ExponentialScalingStrategy result = (ExponentialScalingStrategy)SerializationHelper.TestSerialization(strategy, new Type[0]);
Assert.Equal(5, result.ScalingPower);
}
public void ExponentialScalingStrategy_Ctor_NullAlgorithm()
{
ExponentialScalingStrategy strategy = new ExponentialScalingStrategy();
Assert.Throws <ArgumentNullException>(() => strategy.Initialize(null));
}
