Exemplo n.º 1
0
        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);
        }
Exemplo n.º 2
0
        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);
        }
Exemplo n.º 3
0
        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));
        }
Exemplo n.º 4
0
        public void BestMinimumFitness_GetResultValue_AllNegative()
        {
            MockGeneticAlgorithm algorithm      = new MockGeneticAlgorithm();
            MinimumFitness       minimumFitness = new MinimumFitness();

            algorithm.Metrics.Add(minimumFitness);

            ObservableCollection <MetricResult> population1Results = minimumFitness.GetResults(0);

            population1Results.Add(new MetricResult(0, 0, (double)-5, minimumFitness));

            BestMinimumFitness target = new BestMinimumFitness();

            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, minimumFitness));

            result = target.GetResultValue(population);
            Assert.Equal((double)-6, result);

            ObservableCollection <MetricResult> population2Results = minimumFitness.GetResults(1);

            population2Results.Add(new MetricResult(0, 2, (double)-10, minimumFitness));

            MockPopulation population2 = new MockPopulation
            {
                Index = 1
            };

            result = target.GetResultValue(population2);
            Assert.Equal((double)-10, result);

            population2Results.Add(new MetricResult(1, 1, (double)-4, minimumFitness));

            result = target.GetResultValue(population2);
            Assert.Equal((double)-10, result);
        }