public void BestMinimumFitness_Serialization()
{
BestMinimumFitness metric = new BestMinimumFitness();
PrivateObject privObj = new PrivateObject(metric);
Dictionary <int, double?> bestMinValues = (Dictionary <int, double?>)privObj.GetField("bestMinValues");
bestMinValues.Add(10, 2.4);
BestMinimumFitness result = (BestMinimumFitness)SerializationHelper.TestSerialization(metric, new Type[] { typeof(MockEntity) });
PrivateObject resultPrivObj = new PrivateObject(result);
Dictionary <int, double?> resultBestMinValues = (Dictionary <int, double?>)resultPrivObj.GetField("bestMinValues");
Assert.Equal(2.4, resultBestMinValues[10]);
}
public void BestMinimumFitness_GetResultValue_AllNegative()
{
MockGeneticAlgorithm algorithm = new MockGeneticAlgorithm();
MinimumFitness minimumFitness = new MinimumFitness();
algorithm.Metrics.Add(minimumFitness);
ObservableCollection <MetricResult> population1Results = minimumFitness.GetResults(0);
population1Results.Add(new MetricResult(0, 0, (double)-5, minimumFitness));
BestMinimumFitness target = new BestMinimumFitness();
target.Initialize(algorithm);
MockPopulation population = new MockPopulation
{
Index = 0
};
object result = target.GetResultValue(population);
Assert.Equal((double)-5, result);
population1Results.Add(new MetricResult(1, 0, (double)-6, minimumFitness));
result = target.GetResultValue(population);
Assert.Equal((double)-6, result);
ObservableCollection <MetricResult> population2Results = minimumFitness.GetResults(1);
population2Results.Add(new MetricResult(0, 2, (double)-10, minimumFitness));
MockPopulation population2 = new MockPopulation
{
Index = 1
};
result = target.GetResultValue(population2);
Assert.Equal((double)-10, result);
population2Results.Add(new MetricResult(1, 1, (double)-4, minimumFitness));
result = target.GetResultValue(population2);
Assert.Equal((double)-10, result);
}
public void BestMinimumFitness_GetResultValue_NullPopulation()
{
MockGeneticAlgorithm algorithm = new MockGeneticAlgorithm
{
SelectionOperator = new MockSelectionOperator(),
GeneticEntitySeed = new MockEntity(),
PopulationSeed = new MockPopulation(),
FitnessEvaluator = new MockFitnessEvaluator(),
};
algorithm.Metrics.Add(new BestMinimumFitness());
BestMinimumFitness target = new BestMinimumFitness();
target.Initialize(algorithm);
Assert.Throws <ArgumentNullException>(() => target.GetResultValue(null));
}
