/// <summary>
 /// Initializes a new instance of the <see cref="AutoConfigFitness"/> class.
 /// </summary>
 /// <param name="targetFitness">The target fitness.</param>
 /// <param name="targetChromosome">The target chromosome.</param>
 public AutoConfigFitness(IFitness targetFitness, IChromosome targetChromosome)
 {
     m_targetFitness = targetFitness;
     m_targetChromosome = targetChromosome;
     PopulationMinSize = 100;
     PopulationMaxSize = 100;
     Termination = new TimeEvolvingTermination(TimeSpan.FromSeconds(30));
     TaskExecutor = new LinearTaskExecutor();
 }
        public void Start_Task_TaskRan()
        {
            var pipeline = "";
            var target = new LinearTaskExecutor();
            target.Add(() => pipeline += "1");
            target.Add(() => pipeline += "2");
            target.Add(() => pipeline += "3");

            Assert.IsTrue(target.Start());
            Assert.AreEqual("123", pipeline);
        }
Ejemplo n.º 3
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        public void Start_TakeMoreThanTimeout_False()
        {
            var pipeline = "";
            var target = new LinearTaskExecutor ();
            target.Add (() => pipeline += "1");
            target.Add (() => {
                pipeline += "2";
                Thread.Sleep(100);
            });
            target.Add (() => pipeline += "3");

            target.Timeout = TimeSpan.FromMilliseconds(50);
            Assert.IsFalse(target.Start ());
            Assert.AreEqual ("12", pipeline);
        }
        public void Stop_ManyTasks_True()
        {
            var pipeline = "";
            var target = new LinearTaskExecutor();
            target.Add(() => pipeline += "1");
            target.Add(() =>
            {
                pipeline += "2";
                Thread.Sleep(1000);
            });
            target.Add(() => pipeline += "3");

            Parallel.Invoke(
                () => Assert.IsTrue(target.Start()),
                () =>
                {
                    Thread.Sleep(5);
                    target.Stop();
                });
        }
Ejemplo n.º 5
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        /// <summary>
        /// Initializes a new instance of the <see cref="GeneticSharp.Domain.GeneticAlgorithm"/> class.
        /// </summary>
        /// <param name="population">The chromosomes population.</param>
        /// <param name="fitness">The fitness evaluation function.</param>
        /// <param name="selection">The selection operator.</param>
        /// <param name="crossover">The crossover operator.</param>
        /// <param name="mutation">The mutation operator.</param>
        public GeneticAlgorithm(
            Population population,
            IFitness fitness,
            ISelection selection,
            ICrossover crossover,
            IMutation mutation)
        {
            ExceptionHelper.ThrowIfNull("Population", population);
            ExceptionHelper.ThrowIfNull("fitness", fitness);
            ExceptionHelper.ThrowIfNull("selection", selection);
            ExceptionHelper.ThrowIfNull("crossover", crossover);
            ExceptionHelper.ThrowIfNull("mutation", mutation);

            Population = population;
            Fitness = fitness;
            Selection = selection;
            Crossover = crossover;
            Mutation = mutation;
            Reinsertion = new ElitistReinsertion();
            Termination = new GenerationNumberTermination(1);

            CrossoverProbability = DefaultCrossoverProbability;
            MutationProbability = DefaultMutationProbability;
            TimeEvolving = TimeSpan.Zero;
            State = GeneticAlgorithmState.NotStarted;
            TaskExecutor = new LinearTaskExecutor();
        }