public void FitnessStandardDeviation_GetResultValue_WithScaling()
{
FitnessStandardDeviation metric = new FitnessStandardDeviation();
MockGeneticAlgorithm algorithm = new MockGeneticAlgorithm {
FitnessScalingStrategy = new MockFitnessScalingStrategy()
};
MeanFitness meanFitness = new MeanFitness();
meanFitness.GetResults(0).Add(new MetricResult(0, 0, (double)12, meanFitness));
algorithm.Metrics.Add(meanFitness);
metric.Initialize(algorithm);
MockPopulation population = new MockPopulation();
population.Entities.Add(new MockEntity {
ScaledFitnessValue = 10
});
population.Entities.Add(new MockEntity {
ScaledFitnessValue = 11
});
population.Entities.Add(new MockEntity {
ScaledFitnessValue = 15
});
object result = metric.GetResultValue(population);
Assert.Equal(2.16025, Math.Round((double)result, 5));
}
public void FitnessStandardDeviation_GetResultValue_NoScaling()
{
FitnessStandardDeviation metric = new FitnessStandardDeviation();
metric.Initialize(new MockGeneticAlgorithm());
MockPopulation population = new MockPopulation();
PrivateObject populationAccessor = new PrivateObject(population, new PrivateType(typeof(Population)));
populationAccessor.SetField("rawStandardDeviation", (double)18);
object result = metric.GetResultValue(population);
Assert.Equal((double)18, result);
}
public void FitnessStandardDeviation_GetResultValue_NullPopulation()
{
FitnessStandardDeviation metric = new FitnessStandardDeviation();
Assert.Throws <ArgumentNullException>(() => metric.GetResultValue(null));
}
