public void Start_ParallelManySlowFitness_Timeout() { var taskExecutor = new SmartThreadPoolTaskExecutor(); taskExecutor.MinThreads = 100; taskExecutor.MaxThreads = 100; taskExecutor.Timeout = TimeSpan.FromMilliseconds(1000); var selection = new RouletteWheelSelection(); var crossover = new OnePointCrossover(1); var mutation = new UniformMutation(); var chromosome = new ChromosomeStub(); var target = new GeneticAlgorithm(new Population(100, 150, chromosome), new FitnessStub() { SupportsParallel = true, ParallelSleep = 1500 }, selection, crossover, mutation); target.TaskExecutor = taskExecutor; ExceptionAssert.IsThrowing(new TimeoutException("The fitness evaluation rech the 00:00:01 timeout."), () => { target.Start(); }); Assert.IsFalse(target.IsRunning); Assert.AreEqual(GeneticAlgorithmState.Stopped, target.State); }
public void Start_ParallelManyGenerations_Optimization() { var taskExecutor = new SmartThreadPoolTaskExecutor(); taskExecutor.MinThreads = 100; taskExecutor.MaxThreads = 100; var selection = new EliteSelection(); var crossover = new OnePointCrossover(1); var mutation = new UniformMutation(); var chromosome = new ChromosomeStub(); FlowAssert.IsAtLeastOneAttemptOk(20, () => { var target = new GeneticAlgorithm(new Population(100, 150, chromosome), new FitnessStub() { SupportsParallel = true }, selection, crossover, mutation); target.TaskExecutor = taskExecutor; Assert.AreEqual(GeneticAlgorithmState.NotStarted, target.State); Assert.IsFalse(target.IsRunning); target.Start(); Assert.AreEqual(GeneticAlgorithmState.TerminationReached, target.State); Assert.IsFalse(target.IsRunning); Assert.IsTrue(target.Population.CurrentGeneration.Chromosomes.Count >= 100); Assert.IsTrue(target.Population.CurrentGeneration.Chromosomes.Count <= 150); Assert.IsNotNull(target.Population.BestChromosome); Assert.IsTrue(target.Population.BestChromosome.Fitness >= 0.9); Assert.IsTrue(target.Population.Generations.Count > 0); }); FlowAssert.IsAtLeastOneAttemptOk(20, () => { var target = new GeneticAlgorithm(new Population(100, 150, chromosome), new FitnessStub() { SupportsParallel = true }, selection, crossover, mutation); target.TaskExecutor = taskExecutor; target.Start(); Assert.IsTrue(target.Population.CurrentGeneration.Chromosomes.Count >= 100); Assert.IsTrue(target.Population.CurrentGeneration.Chromosomes.Count <= 150); Assert.IsNotNull(target.Population.BestChromosome); Assert.IsTrue(target.Population.BestChromosome.Fitness >= 0.9); Assert.IsTrue(target.Population.Generations.Count > 0); }); }