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)); }