static void Main(string[] args)
{
var description = new ModelDescription();
description.AddLayer <ForestLayer>();
description.AddAgent <Deer, ForestLayer>();
description.AddAgent <Wolf, ForestLayer>();
}
private static ModelDescription GetModelDescription()
{
ModelDescription description = new ModelDescription();
description.AddLayer <Terrain>();
description.AddAgent <Animal, Terrain>();
return(description);
}
private static void Main(string[] args)
{
Thread.CurrentThread.CurrentCulture = new CultureInfo("EN-US");
LoggerFactory.SetLogLevel(LogLevel.Off);
var description = new ModelDescription();
description.AddLayer <CarLayer>();
description.AddLayer <CarParkingLayer>();
description.AddLayer <TrafficLightLayer>();
description.AddLayer <TravelerLayer>();
description.AddAgent <Traveler, TravelerLayer>();
description.AddEntity <Car>();
ISimulationContainer application;
if (args != null && args.Any())
{
application = SimulationStarter.BuildApplication(description, args);
}
else
{
var config = CreateDefaultConfig();
application = SimulationStarter.BuildApplication(description, config);
}
var simulation = application.Resolve <ISimulation>();
var watch = Stopwatch.StartNew();
var state = simulation.StartSimulation();
var layers = state.Model.Layers;
foreach (var layer in layers)
{
if (layer.Value is TravelerLayer travelerLayer)
{
TripsOutputAdapter.PrintTripResult(travelerLayer.Travelers.Values);
}
}
watch.Stop();
Console.WriteLine($"Executed iterations {state.Iterations} lasted {watch.Elapsed}");
application.Dispose();
}
public static void Main(string[] args)
{
var testGenmoes = FileUtils.ReadGenomesFromFile(".\\output\\genomes.csv");
HillClimberFCM fcm = new HillClimberFCM(population: 96, numberOfValues: 486, STEPS, OUTPUT_FILENAME, FITNESS_COLUMNNAME, testGenmoes);
ModelDescription description = new ModelDescription();
description.AddLayer <Terrain>();
description.AddAgent <Animal, Terrain>();
ABM abm = new ABM(modelDescription: description);
abm.Train(fcm, 30, 45, true, args);
testGenmoes = FileUtils.ReadGenomesFromFile(".\\output\\genomes.csv");
fcm = new HillClimberFCM(population: 96, numberOfValues: 486, STEPS, OUTPUT_FILENAME, FITNESS_COLUMNNAME, testGenmoes);
abm.Test(fcm, 2, args);
}