IEnumerator Gestation()
{
gestating = true;
yield return(new WaitForSeconds(2f));
Color[] cs = new Color[2];
for (int i = 0; i < colors.Length; i++)
{
float r = Mutate() ? Random.Range(0f, 1f) : partner != null ? (Random.Range(0, 2) == 0 ? partner.colors[i].r : colors[i].r) : colors[i].r;
float g = Mutate() ? Random.Range(0f, 1f) : partner != null ? (Random.Range(0, 2) == 0 ? partner.colors[i].g : colors[i].g) : colors[i].g;
float b = Mutate() ? Random.Range(0f, 1f) : partner != null ? (Random.Range(0, 2) == 0 ? partner.colors[i].b : colors[i].b) : colors[i].b;
cs[i] = new Color(r, g, b, 1f);
}
if (!neat)
{
NeuralNet newNet = net.MutateAndReproduce(2, partner == null ? null : partner.net, true);
SimulationStarter.SpawnCreature(transform.position, newNet, cs);
}
else
{
if (neatNet != null && partner != null && gameObject != null && partner.neatNet != null)
{
SimulationStarter.SpawnCreature(transform.position, new NEATNetwork(NEATGenome.Reproduce(neatNet.genome, partner == null ? neatNet.genome : partner.neatNet.genome)), cs);
}
}
vitality /= 2f;
gestating = false;
partner = null;
}
public void Test(FCM fcm, int generations, string[] args)
{
var startTime = DateTime.Now;
for (int generation = 0; generation < generations; generation++)
{
Console.WriteLine("\nTest generation: {0} of {1}", generation, generations);
LoggerFactory.SetLogLevel(LogLevel.Warning);
LoggerFactory.DeactivateConsoleLogging();
SimulationStarter task = SimulationStarter.Start(this.modelDescription, args);
Stopwatch stopWatch = new Stopwatch();
stopWatch.Start();
SimulationWorkflowState loopResults = task.Run();
if (loopResults.IsFinished)
{
stopWatch.Stop();
// Console.WriteLine($"Simulation execution finished in {stopWatch.ElapsedMilliseconds / 1000:N2} seconds");
stopWatch.Restart();
fcm.Run(false);
stopWatch.Stop();
// Console.WriteLine($"FCM finished in {stopWatch.ElapsedMilliseconds / 100:N2} seconds");
GC.Collect();
}
}
}
public SimulationOptionsDialog(SimulationStarter simulationStarter)
{
InitializeComponent();
SimulationStart += simulationStarter;
MessageGenerateChance.Text = AllConstants.MessageGenerateChance.ToString("N");
TableUpdatePeriod.Text = AllConstants.UpdateTablePeriod.ToString();
GeneratedMessagesSizes.Text = AllConstants.DefaultMessageSize.ToString();
_exceptionCatcher = new ExceptionCatcher();
}
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($"Executed iterations {state.Iterations} lasted {watch.Elapsed}");
application.Dispose();
}
public void Train(FCM fcm, int generations, float targetFitness, Boolean saveGenomes, string[] args)
{
var startTime = DateTime.Now;
for (int generation = 0; generation < generations; generation++)
{
Console.WriteLine("\nGeneration: {0} of {1}", generation, generations);
LoggerFactory.SetLogLevel(LogLevel.Warning);
LoggerFactory.DeactivateConsoleLogging();
SimulationStarter task = SimulationStarter.Start(this.modelDescription, args);
Stopwatch stopWatch = new Stopwatch();
stopWatch.Start();
SimulationWorkflowState loopResults = task.Run();
if (loopResults.IsFinished)
{
stopWatch.Stop();
Console.WriteLine($"Simulation execution finished in {stopWatch.ElapsedMilliseconds / 1000:N2} seconds");
stopWatch.Restart();
fcm.Run(true, targetFitness, saveGenomes);
stopWatch.Stop();
Console.WriteLine($"FCM finished in {stopWatch.ElapsedMilliseconds / 100:N2} seconds");
GC.Collect();
}
}
string filename = FileUtils.CreateTimestampedFilename("Genomes", DateTime.Now, ".csv");
fcm.WriteGenomes(filename);
fcm.WriteGenomes("genomes.csv");
}
private void Start()
{
instance = this;
InitSimulation();
}
