public void run_szenario(int times, String sz, String s) { int render_every = 5120; //model evaluations //n mal laufen lassen für empirische Auswertung //(bei den direkten Heuristiken (greedy,insertion,savings nicht nötig, daher n = 1) for (int i = 0; i < times; i++) { //solange ein Prozess läuft mache nichts! while (optimizer_running) { Thread.Sleep(5000); } String problemInstance = File.ReadAllText(sz + ".json"); model = new MEPModel.MEP(); model.LoadModelString(problemInstance); scenario = sz + "_" + s + "_" + i; Console.WriteLine("Starting Szenario:" + scenario); //setze Kontext model.AllowTripContinuation = true; model.PermutateOptions = false; model.AllowUnprofitableRequests = true; model.AvgTravelSpeed = 400; model.HotelCostPerNight = -100; model.HourlyWage = -60; model.MilageAllowance = -0.1; model.RevenuePerDayOnsite = 2000; Solver.Solver so = null; switch (s) { case "Greedy": so = new GreedySolver(model); break; case "SA": so = new SimulatedAnnealingSolver(model, 10000, 1600, render_every, 64); //somit maximal 10.000*16 = 160.000 modell evaluationen! break; case "GA": so = new GeneticSolver(model, 19, 5120, 5, render_every); //somit maximal 100 * 1.600 = 160.000 modell evaluationen! break; case "Insertion": so = new NearestInsertionSolver(model); break; case "Savings": so = new SavingsSolver(model); break; } start = DateTime.Now; Start_Optimizer(so); } }
private void btnRunAsync_Click(object sender, RoutedEventArgs e) { output_to_file = false; tokensource = new CancellationTokenSource(); if (model != null && model.Requests.Count > 0) { btnRunAsync.IsEnabled = false; set_model_parameter(); //clear optimizer Output: txtOptimizerOutput.Text = ""; Solver.Solver s = null; if (rbGeneticAlgorithm.IsChecked == true) { s = new GeneticSolver(model, Convert.ToInt32(txtGenerations.Text), Convert.ToInt32(txtPopulationSize.Text), Convert.ToInt32(txtMutationProbability.Text), Convert.ToInt32(txtReportProgress.Text)); } if (rbBruteForce.IsChecked == true) { if (model.GetNumberOfElements() > 11) { MessageBox.Show("I´m sorry Dave, I`m afraid I can`t do that!"); } else { s = new BruteForceSolver(model); } } if (rbSimulatedAnnealing.IsChecked == true) { s = new SimulatedAnnealingSolver(model, Convert.ToInt32(txtStartTemp.Text), Convert.ToInt32(txtSteps.Text), Convert.ToInt32(txtReportProgress.Text), Convert.ToInt32(txtParallelAnnealings.Text)); } if (rbGreedy.IsChecked == true) { s = new GreedySolver(model); } if (rbInsertion.IsChecked == true) { s = new NearestInsertionSolver(model); } if (rbSavings.IsChecked == true) { s = new SavingsSolver(model); } if (s != null) { Start_Optimizer(s); } } }
private void Start_Optimizer(Solver.Solver s) { optimizer_running = true; if (s != null) { model.CancelToken = tokensource.Token; //hier fehlt noch die Cancelation genauso wie die cancel token überprüfung in allen optimizern optimizerTask = new Task <Result>(() => s.Optimize(), model.CancelToken); s.ProgressHandler.ProgressChanged += Prog_ProgressChanged; //optimizerTask.Start(); //await optimizerTask; //Func<Solver.Solver, Result> func = (so) => { return so.Optimize(); }; Task.Factory.StartNew((obj) => { var so = obj as Solver.Solver; return(so.Optimize()); }, s, model.CancelToken).ContinueWith((tResult) => { Application.Current.Dispatcher.Invoke(() => { //gibt nochmal das letzte ergebnis aus: UpdateViewModel(tResult.Result); if (!output_to_file) { txtOptimizerOutput.Text += getRouteDescription(); } if (output_to_file) { File.WriteAllText(scenario + "_" + start.ToString("dd_HH_mm_ss") + "_" + DateTime.Now.ToString("dd_HH_mm_ss") + ".txt", txtOptimizerOutput.Text); txtOptimizerOutput.Text = ""; } btnRunAsync.IsEnabled = true; optimizer_running = false; }); }); } }
public void CanSolve() { var solver = new Solver.Solver(TestGridGenerator.TheRealTest()); solver.SolveProblem(); }
public void CanSolve() { var solver = new Solver.Solver(TestGridGenerator.GridWithInfinateLoop()); solver.SolveProblem(); }
public void CanSolve() { var solver = new Solver.Solver(TestGridGenerator.SquareGridWithFourStageSolution()); solver.SolveProblem(); }
public void CanSolve() { var solver = new Solver.Solver(TestGridGenerator.SingleColumnWithExitOnBottom()); solver.SolveProblem(); }
public void CanSolve() { var solver = new Solver.Solver(TestGridGenerator.SingleRowWithExitOnLeft()); solver.SolveProblem(); }
public void MyTestInitialize() { this.grid = new Grid(sGrid); this.solver = new Solver.Solver(); Assert.IsNotNull(grid); }
public void MyTestInitialize() { this.grid = new Grid(sGrid); this.solver = new Solver.Solver(); Assert.IsNotNull(grid); }