// Use this for initialization
void Start()
{
gaobj = GameObject.FindGameObjectWithTag("gaObj");
getdirection = gaobj.GetComponent <GAobj> ();
dirArray = new int[target.Length];
dirArray = getdirection.bestgenesholder1 [getdirection.ptr];
Debug.Log(getdirection.ptr);
dirPtr = 0;
dir_taken = 0;
dir = new[] { new Vector3(0f, 0f, speed), new Vector3(speed, 0f, 0f), new Vector3(0f, 0f, -1 * speed), new Vector3(-1 * speed, 0f, 0f) };
Destroy(this.gameObject, 5);
}
public population(int popSize)
{
gaobj = GameObject.FindGameObjectWithTag("gaObj");
sendB = gaobj.GetComponent <GAobj> ();
bestFitGene = new int[target.Length];
finished = false;
genNO = 0;
populationSet = new DNA[popSize];
matingPool = new List <DNA> ();
bestgenesholder = new List <int[]> ();
for (int i = 0; i < populationSet.Length; i++)
{
populationSet [i] = new DNA(target.Length);
}
//
Debug.Log("created the initial population ");
while (!finished)
{
Debug.Log("generation no: " + genNO);
if (genNO > 100)
{
break;
}
//calculate fitness of all individuals
FitnessCAlcu();
//check for fitess gene
bestFitGene = new int[target.Length];
float BestFitFitness;
bestFitGene = populationSet [0].gene;
BestFitFitness = populationSet [0].fitness;
for (int i = 0; i < populationSet.Length; i++)
{
if (BestFitFitness < populationSet [i].fitness)
{
BestFitFitness = populationSet [i].fitness;
bestFitGene = populationSet [i].gene;
}
}
Debug.Log("fitess id:" + BestFitFitness);
//create best fit gene list
bestgenesholder.Add(bestFitGene);
//this will do the convergence
for (int i = 0; i < populationSet.Length; i++)
{
if (populationSet [i].fitness == 1)
{
finished = true;
bestFitGene = populationSet [i].gene;
Debug.Log("printing the best");
for (int j = 0; j < populationSet[i].gene.Length; j++)
{
Debug.Log(populationSet[i].gene[j]);
}
//sendB.startINstantating ();
sendB.bestgenesholder1 = bestgenesholder;
sendB.finished = true;
break;
}
}
//creATE mating pool
matingPool.Clear();
for (int i = 0; i < populationSet.Length; i++)
{
int a = (int)(populationSet [i].fitness * 100);
for (int j = 0; j < a; j++)
{
matingPool.Add(populationSet [i]);
}
}
// Debug.Log ("mating pool size:"+matingPool.Count);
//maitng
for (int i = 0; i < populationSet.Length; i++)
{
int a1 = Random.Range(0, matingPool.Count);
int b = Random.Range(0, matingPool.Count);
DNA partnerA = matingPool [a1];
DNA partnerB = matingPool [b];
DNA child = partnerA.crossOver(partnerB);
child.Mutate();
populationSet [i] = child;
}
genNO++;
}
}
