private IEnumerator GeneticCoroutine()
{
float timeStart = Time.time;
while (true)
{
yield return(new WaitForSeconds(Settings.PopulationTime));
if (isSimulated)
{
Time.timeScale = 0;
GenableList.Sort((x, y) => { return((int)(y.Value - x.Value)); });
Debug.Log("Best:" + GenableList[0].Value);
for (int i = Settings.SampleCount; i < GenableList.Count; i++)
{
GenableList[i].Brain.MutateFrom(GenableList[Random.Range(0, Settings.SampleCount)].Brain, Settings.MutationValue.Evaluate(Time.time - timeStart));
}
for (int i = 0; i < GenableList.Count; i++)
{
BaseGenable genable = GenableList[i];
ActionOnNewGeneration(ref genable, i);
}
yield return(new WaitForSecondsRealtime(1));
Time.timeScale = 1;
}
else
{
}
}
}
private void Start()
{
for (int i = 0; i < Settings.PopulationCount; i++)
{
BaseGenable genable = Instantiate(Prefab, transform);
GenableList.Add(genable);
ActionOnSpawn(ref genable, i);
}
geneticCoroutine = StartCoroutine(GeneticCoroutine());
}
protected abstract void ActionOnNewGeneration(ref BaseGenable genable, int index);
protected abstract void ActionOnSpawn(ref BaseGenable genable, int index);