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));
}
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());
}