private long[][] selection()
{
switch (SelectionType)
{
case SelectionType.PROPORTIONAL:
{
long[] f = new long[this.IndividualCount];
long fSum = 0;
for (int i = 0; i < this.IndividualCount; i++)
{
f[i] = _fitnessFunction.run(_parentPopulation[i]);
fSum += f[i];
}
double[] fDeals = new double[IndividualCount];
double[] fN = new double[IndividualCount];
int[] numberOfIndividual = new int[IndividualCount];
int secondaryArraySize = 0;
for (int i = 0; i < this.IndividualCount; i++)
{
fDeals[i] = f[i] / fSum;
fN[i] = fDeals[i] * IndividualCount;
numberOfIndividual[i] = (int)Math.Floor(fN[i]);
double randomValue = random.NextDouble();
if (randomValue <= fN[i] - numberOfIndividual[i])
{
numberOfIndividual[i]++;
}
secondaryArraySize += numberOfIndividual[i];
}
long[][] secondaryArray = new long[secondaryArraySize][];
int k = 0;
for (int i = 0; i < IndividualCount; i++)
{
for (int j = 0; j < numberOfIndividual[i]; j++)
{
secondaryArray[k] = _parentPopulation[i];
k++;
}
}
return(secondaryArray);
}
case SelectionType.TOURNEY:
{
for (int i = 0; i < this.IndividualCount; i++)
{
int index1 = random.Next(IndividualCount);
int index2 = random.Next(IndividualCount);
//long ffTime = System.currentTimeMillis(); // time
long fr1 = this.getFitnessFunctionResult(index1);
long fr2 = this.getFitnessFunctionResult(index2);
//this.timeToFF += (System.currentTimeMillis() - ffTime); // time
this._childPopulation[i] = fr1 > fr2 ? (long[])this._parentPopulation[index1].Clone() : (long[])this._parentPopulation[index2].Clone();
}
break;
}
default:
throw new NotImplementedException();
}
}
