public void MinimumFitness_GetResultValue_WithScaling()
{
MinimumFitness metric = new MinimumFitness();
metric.Initialize(new MockGeneticAlgorithm {
FitnessScalingStrategy = new MockFitnessScalingStrategy()
});
MockPopulation population = new MockPopulation();
population.Entities.Add(new MockEntity {
ScaledFitnessValue = 11
});
population.Entities.Add(new MockEntity {
ScaledFitnessValue = 10
});
population.Entities.Add(new MockEntity {
ScaledFitnessValue = 15
});
population.Entities.Add(new MockEntity {
ScaledFitnessValue = 13
});
object result = metric.GetResultValue(population);
Assert.Equal((double)10, result);
}
public void MinimumFitness_GetResultValue_NoScaling()
{
MinimumFitness metric = new MinimumFitness();
metric.Initialize(new MockGeneticAlgorithm());
MockPopulation population = new MockPopulation();
PrivateObject populationAccessor = new PrivateObject(population, new PrivateType(typeof(Population)));
populationAccessor.SetField("rawMin", (double)2);
object result = metric.GetResultValue(population);
Assert.Equal((double)2, result);
}
public void MinimumFitness_GetResultValue_NullPopulation()
{
MockGeneticAlgorithm algorithm = new MockGeneticAlgorithm
{
SelectionOperator = new MockSelectionOperator(),
FitnessEvaluator = new MockFitnessEvaluator(),
GeneticEntitySeed = new MockEntity(),
PopulationSeed = new SimplePopulation(),
};
algorithm.Metrics.Add(new MinimumFitness());
MinimumFitness target = new MinimumFitness();
target.Initialize(algorithm);
Assert.Throws <ArgumentNullException>(() => target.GetResultValue(null));
}
