public void Run()
{
// Spawn our initial populaiton of individuals
world.Spawn();
Thread.Sleep(3000);
// Set our generation count to zero and restart our timer
int generation = 0;
generationClock.Restart();
while (window.IsOpen)
{
// Get the amount of time that has passed since we drew the last frame.
float deltaT = clock.Restart().AsMicroseconds() / 1000000f;
// Clear the previous frame
window.Clear(Configuration.Background);
// Process events
window.DispatchEvents();
// Camera movement is now separate from our other screen update code to minimise overhead.
screenManager.UpdateCamera(deltaT);
screenManager.Draw(deltaT);
// Update the window
window.Display();
// If one second has passed, breed the next generation
if (generationClock.ElapsedTime.AsSeconds() > generationTime &&
(doGeneration?.IsCompleted ?? true) &&
!world.HasConverged)
{
doGeneration = Task.Run(() =>
{
// Do one generation of breeding & culling.
world.DoGeneration();
// Restart our generation timer
generationClock.Restart();
// Update the screen to show the new generation
pathScreen.GenerationString.StringText = $"Generation: {++generation}";
// Draw the paths of the current best individual
pathScreen.UpdateSequence(world.GetBestIndividual());
// Update all the screen components that are unrelated to our sequence.
screenManager.Update(deltaT);
});
}
// Our GA has either hit the max generations or has stopped improving, set the GA as complete
// and copy the history of fitness values to the clipboard
if (world.GenerationCount == GAConfig.MaxGenerations ||
world.NoImprovementCount == GAConfig.MaxNoImprovementCount)
{
pathScreen.SetGACompleted();
// Copy the fitness to clipboard
Clipboard.SetText(string.Join(",", world.FitnessOverTime));
}
// Process any key presses that the user has made.
this.ProcessUserInput();
// Check to see if the user wants to stop the simulation.
if (Keyboard.IsKeyPressed(Configuration.QuitKey) ||
Keyboard.IsKeyPressed(Keyboard.Key.Escape))
{
return;
}
}
}
