Пример #1
0
        public void BestMaximumFitness_Serialization()
        {
            BestMaximumFitness       metric        = new BestMaximumFitness();
            PrivateObject            privObj       = new PrivateObject(metric);
            Dictionary <int, double> bestMaxValues = (Dictionary <int, double>)privObj.GetField("bestMaxValues");

            bestMaxValues.Add(10, 2.4);

            BestMaximumFitness result = (BestMaximumFitness)SerializationHelper.TestSerialization(metric, new Type[] { typeof(MockEntity) });

            PrivateObject            resultPrivObj       = new PrivateObject(result);
            Dictionary <int, double> resultBestMaxValues = (Dictionary <int, double>)resultPrivObj.GetField("bestMaxValues");

            Assert.Equal(2.4, resultBestMaxValues[10]);
        }
Пример #2
0
        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);
        }
Пример #3
0
        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));
        }