| public U ( double p_lower, double p_upper ) : double | ||
| p_lower | double | |
| p_upper | double | |
| return | double | |
/// <summary>
/// Generate DeltaP the change vector to be added to old P.
/// It contains randomly activated slots.
/// Not all parameters will thus be changed by this vector.
/// </summary>
/// <param name="p_P"></param>
/// <returns></returns>
private List <double> getDeltaP(List <float> p_P)
{
int size = p_P.Count;
// Get R value
double Pmax = 0.0f, Pmin = 0.0f;
//getMaxMinOfList(p_P, out Pmin, out Pmax);
double r = 40.0f;
r = Random.Range(0.0f, 40.0f);
Pmax = r; Pmin = -r;
double R = Pmax - Pmin;
//Debug.Log("R: " + R + " Pmax: " + Pmax + " Pmin: " + Pmin);
// Get S vector
List <float> S = getS(size);
// Calculate delta-P
double[] deltaP = new double[size];
for (int i = 0; i < size; i++)
{
double P = (double)p_P[i];
double c = m_uniformDistribution.U(P - 0.1 * R, P + 0.1 * R);
deltaP[i] = (double)S[i] * c;
}
return(new List <double>(deltaP));
}
/// <summary>
/// Generate DeltaP the change vector to be added to old P.
/// It contains randomly activated slots.
/// Not all parameters will thus be changed by this vector.
/// </summary>
/// <param name="p_P"></param>
/// <returns></returns>
private List <double> getDeltaP(List <float> p_P, List <float> p_Pmin, List <float> p_Pmax, int p_iteration)
{
int size = p_P.Count;
// Get R value
//double Pmax = 1.0f, Pmin = -1.0f;
//getMaxMinOfList(p_P, out Pmin, out Pmax);
//double r = 0.001f;
//if (p_iteration % 10 == 9) r = 0.1f;
//r = Random.Range(0.0f, 1.0f);
// Pmax = r; Pmin = -r;
//double R = Pmax - Pmin;
//Debug.Log("R: " + R + " Pmax: " + Pmax + " Pmin: " + Pmin);
// Get S vector
List <float> S = getS(size);
// Calculate delta-P
double[] deltaP = new double[size];
for (int i = 0; i < size; i++)
{
double P = (double)p_P[i];
double R = p_Pmax[i] - p_Pmin[i];
double c = m_uniformDistribution.U(/*P*/ -0.1 * R, /*P +*/ 0.1 * R);
deltaP[i] = (double)S[i] * c;
}
return(new List <double>(deltaP));
}