private float[] CalculateFitness(Agent.Abstract.AAgentController[] agents)
{
var fitnesses = new float[agents.Length];
var popVectors = new List <Vector2>(agents.Length);
foreach (var item in agents)
{
popVectors.Add(Vec3ToVec2(item.transform.position));
}
for (int i = 0; i < agents.Length; i++)
{
var vecPos = Vec3ToVec2(agents[i].transform.position);
var compToArch = _novelty_Archive.CompareToArchive(vecPos, 5);
if (compToArch > _noveltyThreshold)
{
_novelty_Archive.Add(vecPos);
}
var compToPop = Novelty_archive.CompareToPopulation(popVectors, vecPos, 5);
fitnesses[i] = compToArch + compToPop;
}
return(fitnesses);
}
public AgentListEvaluator(IGenomeDecoder <NeatGenome, IBlackBox> decoder, GameObject gameObject, GameObject agentPrefab, IntContainer tickPerEvalCount)
{
_gameObject = gameObject;
_decoder = decoder;
_agentPrefab = agentPrefab;
_tickPerEvalCount = tickPerEvalCount;
_evaluationCount = 0;
_novelty_Archive = new Novelty_archive();
_novelty_Archive.Add(Vec3ToVec2(gameObject.transform.position));
UnityThread.InitUnityThread();
}
