private void RePopulate()
{
FoodObjs.Clear();
var creatures = AllGameObjs.OfType <Creature>().ToArray();
var minLifeSpan = creatures.Min(c => c.Lifespan);
var indvdls = creatures
.Select(c => c.Brain.Net.ToIndividual((c.Lifespan - minLifeSpan) + (c.Health / Creature.IdleHealthLossPerSecond / 2f)));
var res = GeneticAlgorithm.Apply(indvdls).ToArray();
var rand = ThreadSafeRandom.Instance;
for (int i = 0; i < creatures.Length; i++)
{
var nw = creatures[i].Brain.Net.SetWeights(res[i]);
var @new = new Creature(this, Game.Res, GeomHelper.RandomPointInCircel(rand, WorldSize), initNw: nw);
CreatureObjs[i] = @new;
}
var lastHist = GeneticAlgorithm.History.Last();
StatusStr = $"LF: {creatures.Min(c => c.Lifespan)} : {creatures.Max(c => c.Lifespan)} : {creatures.Average(c => c.Lifespan)}";
StatusStr += $"\nVar={lastHist.Variety} Gen#={lastHist.GenCount}";
StatusStr += $"\nElit={lastHist.UsedParams.ElitismFraction} Mut={lastHist.UsedParams.MutationFraction}";
}
public void Update(MouseState mState, KeyboardState kState, Point mPosInWorld, float secsPassed)
{
ActiveGameObjs = AllGameObjs.Where(go => go.Active).ToArray();
Parallel.ForEach(ActiveGameObjs, c => c.Move(secsPassed));
Parallel.ForEach(ActiveGameObjs, c => c.Interact(secsPassed));
WorldTotalTimeSec += secsPassed;
if (WorldTotalTimeSec > MaxWorldTimeSec || ActiveGameObjs.OfType <Creature>().Count() == 0)
{
RePopulate();
WorldTotalTimeSec = 0;
}
FoodObjs.RemoveAll(f => !f.Active);
var shortage = (ActiveGameObjs.OfType <Creature>().Count() * FoodToCreatureRatio) - FoodObjs.Count;
var rand = ThreadSafeRandom.Instance;
for (int i = 0; i < shortage; i++)
{
var @new = new Food(this, Game.Res, GeomHelper.RandomPointInCircel(rand, WorldSize));
FoodObjs.Add(@new);
}
}
