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()); }