public void BestMaximumFitnessEntity_Serialization()
{
BestMaximumFitnessEntity metric = new BestMaximumFitnessEntity();
PrivateObject privObj = new PrivateObject(metric);
Dictionary <int, GeneticEntity> bestEntities = (Dictionary <int, GeneticEntity>)privObj.GetField("bestEntities");
bestEntities.Add(10, new MockEntity());
BestMaximumFitnessEntity result = (BestMaximumFitnessEntity)SerializationHelper.TestSerialization(metric, new Type[] { typeof(MockEntity) });
PrivateObject resultPrivObj = new PrivateObject(result);
Dictionary <int, GeneticEntity> resultBestEntities = (Dictionary <int, GeneticEntity>)resultPrivObj.GetField("bestEntities");
Assert.IsType <MockEntity>(resultBestEntities[10]);
}
public void BestMaximumFitnessEntityGetResultValue_NullPopulation()
{
GeneticAlgorithm algorithm = new MockGeneticAlgorithm
{
SelectionOperator = new MockSelectionOperator(),
GeneticEntitySeed = new MockEntity(),
PopulationSeed = new MockPopulation(),
FitnessEvaluator = new MockFitnessEvaluator(),
};
algorithm.Metrics.Add(new BestMaximumFitnessEntity());
BestMaximumFitnessEntity target = new BestMaximumFitnessEntity();
target.Initialize(algorithm);
Assert.Throws <ArgumentNullException>(() => target.GetResultValue(null));
}
public void BestMaximumFitnessEntity_GetResultValue()
{
GeneticAlgorithm algorithm = new MockGeneticAlgorithm
{
SelectionOperator = new MockSelectionOperator(),
FitnessEvaluator = new MockFitnessEvaluator(),
GeneticEntitySeed = new MockEntity(),
PopulationSeed = new SimplePopulation(),
};
algorithm.Metrics.Add(new BestMaximumFitnessEntity());
BestMaximumFitnessEntity target = new BestMaximumFitnessEntity();
target.Initialize(algorithm);
SimplePopulation population1 = new SimplePopulation()
{
Index = 0
};
population1.Initialize(algorithm);
VerifyGetResultValue(2, target, population1, algorithm, "20");
VerifyGetResultValue(1, target, population1, algorithm, "20");
VerifyGetResultValue(3, target, population1, algorithm, "30");
SimplePopulation population2 = new SimplePopulation()
{
Index = 1
};
population2.Initialize(algorithm);
VerifyGetResultValue(7, target, population2, algorithm, "70");
VerifyGetResultValue(1, target, population1, algorithm, "30");
VerifyGetResultValue(4, target, population2, algorithm, "70");
}
private static void VerifyGetResultValue(int multiplier, BestMaximumFitnessEntity metric, SimplePopulation population, GeneticAlgorithm algorithm, string expectedReturnVal)
{
for (int i = 0; i < 5; i++)
{
MockEntity entity = new MockEntity();
entity.Initialize(algorithm);
entity.ScaledFitnessValue = i * multiplier;
entity.Identifier = entity.ScaledFitnessValue.ToString();
population.Entities.Add(entity);
}
for (int i = 10; i >= 5; i--)
{
MockEntity entity = new MockEntity();
entity.Initialize(algorithm);
entity.ScaledFitnessValue = i * multiplier;
entity.Identifier = entity.ScaledFitnessValue.ToString();
population.Entities.Add(entity);
}
object representation = metric.GetResultValue(population);
Assert.Equal(expectedReturnVal, representation.ToString());
}
