public void BestMaximumFitness_GetResultValue_AllNegative()
{
MockGeneticAlgorithm algorithm = new MockGeneticAlgorithm();
MaximumFitness maximumFitness = new MaximumFitness();
algorithm.Metrics.Add(maximumFitness);
ObservableCollection <MetricResult> population1Results = maximumFitness.GetResults(0);
population1Results.Add(new MetricResult(0, 0, (double)-5, maximumFitness));
BestMaximumFitness target = new BestMaximumFitness();
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, maximumFitness));
result = target.GetResultValue(population);
Assert.Equal((double)-5, result);
ObservableCollection <MetricResult> population2Results = maximumFitness.GetResults(1);
population2Results.Add(new MetricResult(0, 2, (double)-10, maximumFitness));
MockPopulation population2 = new MockPopulation
{
Index = 1
};
result = target.GetResultValue(population2);
Assert.Equal((double)-10, result);
population2Results.Add(new MetricResult(1, 1, (double)-4, maximumFitness));
result = target.GetResultValue(population2);
Assert.Equal((double)-4, result);
}
public void BestMaximumFitness_GetResultValue_NullPopulation()
{
GeneticAlgorithm algorithm = new MockGeneticAlgorithm
{
SelectionOperator = new MockSelectionOperator(),
GeneticEntitySeed = new MockEntity(),
PopulationSeed = new MockPopulation(),
FitnessEvaluator = new MockFitnessEvaluator(),
};
algorithm.Metrics.Add(new BestMaximumFitness());
BestMaximumFitness target = new BestMaximumFitness();
target.Initialize(algorithm);
Assert.Throws <ArgumentNullException>(() => target.GetResultValue(null));
}