public void GenerateInitial()
{
_evolver = new GeneticOptimisation(tankCount, 0.15, SelectionMethod.Natural);
for (int i = 0; i < tankCount; i++)
{
var rp = Random.insideUnitSphere;
rp.y = 0;
rp = generatePoint.position + rp.normalized * Random.Range(1, generateRadius);
_initPosition.Add(rp);
_drivers.Add(Instantiate(tankPrefab, rp, Quaternion.identity).GetComponent <TankDriver>());
_evolver.population.Add(_drivers[i].network);
}
_evolver.RandomizePopulation(-1d, 1d);
}
public void GenerateInitial()
{
PreLoader pl = FindObjectOfType <PreLoader> ();
SelectionMethod mySlm;
totalStepsPerEpoch = pl.timer;
float mutate = pl.MR;
int SlmNum = pl.dropD;
tankCount = pl.PS;
if (SlmNum == 0)
{
mySlm = SelectionMethod.Natural;
}
else if (SlmNum == 1)
{
mySlm = SelectionMethod.Competitive;
}
else
{
mySlm = SelectionMethod.Random_ForFun;
}
// Debug.Log (pl.PS);
m_evolver = new GeneticOptimisation(tankCount, mutate, mySlm);
for (var i = 0; i < tankCount; i++)
{
var rp = Random.insideUnitSphere;
rp.y = 0;
rp = generatePoint.position + rp.normalized * Random.Range(1, generateRadius);
m_initPosition.Add(rp);
m_drivers.Add(Instantiate(tankPrefab, rp, Quaternion.identity).GetComponent <TankDriver>());
m_drivers[i].GetComponent <Tank>().Setup();
m_evolver.population.Add(m_drivers[i].network);
}
m_evolver.RandomizePopulation();
}
