protected void BuildEvaluator()
{
MapBuilder mapBuilder = new MapBuilder(_building.ToDataModel());
Simulator sim = new Simulator();
sim.MaximumTicks = _building.GetFloorCount() * 2;
sim.SetupSimulator(mapBuilder.BuildBuildingMap(), mapBuilder.BuildPeopleMap());
_evaluator = new EvaCalcEvaluator(sim, _building, true);
}
public Hauptansicht()
{
InitializeComponent();
schnittstelle = startSimulator();
warnings = new List<Warning>();
refreshIntervall.Start();
refreshShowerlist();
}
public Genetics.Generic.ITransformer<List<bool>> BuildTransformer(BuildingEditor.ViewModel.Building building)
{
MapBuilder mapBuilder = new MapBuilder(building.ToDataModel());
Simulator sim = new Simulator();
sim.MaximumTicks = building.GetFloorCount() * 2;
sim.SetupSimulator(mapBuilder.BuildBuildingMap(), mapBuilder.BuildPeopleMap());
EvaCalcEvaluator evaluator = new EvaCalcEvaluator(sim, new Building(building));
return new LocalOptimization(building, evaluator);
}
static void RunOneSimulation(String path, string schedulerName)
{
var ps = new ProblemSetting();
var jobs = new List<Job>();
FileUtil.ReadData(path, ref ps, ref jobs);
IScheduler scheduler = SchedulerFactory.GetScheduler(schedulerName, ps);
var simulator = new Simulator(scheduler, ps, jobs);
var simulationresult = simulator.Simulate();
Console.WriteLine(simulationresult);
}
public void TestWarnings()
{
Hauptansicht appObject = new Hauptansicht();
Simulator simulator = new Simulator();
List<Notfalldusche> showers = simulator.getAllShowers();
Notfalldusche shower1 = showers[0];
Notfalldusche shower2 = showers[1];
Warning expectedWarning = new Warning(shower1, Warning.Type.Flowrate);
appObject.addWarning(new Warning(shower1, Warning.Type.Flowrate));
// Test ob hasWarnings korrekt prüft ob eine Dusche bereits gewarnt hat
// Gleiche Dusche
Assert.AreEqual(true, appObject.hasWarnings(shower1));
// Andere Dusche
Assert.AreEqual(false, appObject.hasWarnings(shower2));
}
private void Setup()
{
_building.ShortGenotype = _geneticsConfiguration.ShortGenotype;
_building.ApplySimpleEvacuationIfShortGenotype();
MapBuilder mapBuilder = new MapBuilder(_building.ToDataModel());
Simulator sim = new Simulator();
sim.MaximumTicks = _building.GetFloorCount() * 2;
sim.SetupSimulator(mapBuilder.BuildBuildingMap(), mapBuilder.BuildPeopleMap());
EvaCalcEvaluator evaluator = new EvaCalcEvaluator(sim, new Building(_building));
BinaryChromosome.CrossoverOperator = _geneticsConfiguration.CrossoverOperator;
BinaryChromosome.MutationOperator = _geneticsConfiguration.MutationOperator;
BinaryChromosome.Transformer = _geneticsConfiguration.Transformer;
BinaryChromosome.Repairer = new AdvancedRepairer(new Building(_building));
BinaryChromosome.Evaluator = evaluator;
GeneticAlgorithm = new GeneticAlgorithm(new BinaryChromosomeFactory(_building.GetFloorCount() * 2), _geneticsConfiguration.InitialPopulationSize);
if (_geneticsConfiguration.MaxIterationsWithoutImprovement > 0)
GeneticAlgorithm.EnableBestChromosomeBasedStopCondition(_geneticsConfiguration.MaxIterationsWithoutImprovement);
GeneticAlgorithm.Selector = _geneticsConfiguration.Selector;
GeneticAlgorithm.MaxIterations = _geneticsConfiguration.MaxIterations;
GeneticAlgorithm.CrossoverProbability = _geneticsConfiguration.CrossoverProbability;
GeneticAlgorithm.ReportStatus += CollectAlgorithmStatus;
}
public EvaCalcEvaluator GetEvaluator()
{
MapBuilder mapBuilder = new MapBuilder(building.ToDataModel());
Simulator sim = new Simulator();
sim.MaximumTicks = building.GetFloorCount() * 2;
sim.SetupSimulator(mapBuilder.BuildBuildingMap(), mapBuilder.BuildPeopleMap());
return new EvaCalcEvaluator(sim, new Building(building));
}
/// <summary>
/// Hier wird die Simulator-Schnittstelle initialiisiert und angezeigt.
/// </summary>
/// <returns>Schnittstellen-Referenz</returns>
public Simulator startSimulator()
{
Simulator simulator = new Simulator();
simulator.Show();
return simulator;
}
