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);
}
}
}
