private void OnBreedingUpdate()
{
// Perform one generation of our GA
genericAlgorithm.DoGeneration();
simulation.SetCars(genericAlgorithm.GetPopulation().Cast <ICarController>());
simulation.ResetCars();
// Add the metrics we will use to judge our cars fitness
simulation.GetCars().ForEach(car => this.AddFitnessMetrics(car));
// Reset our simulation
currentTrackIndex = 0;
simulation.SetTrack(currentTrack);
simulation.Reset();
// Reset the visualisation
if (IsVisualizationEnabled)
{
// Reset all cars
simulationVisualization.InitializeCars(simulation.GetCars());
// Reset all track visuals - not the most efficient but works really clean
simulationVisualization.SetTrack(currentTrack);
simulationVisualization.Reset();
}
trainingState = TrainState.Evaluating;
}
