protected void initWeight(int m)
{
this.weights = new List <double[]>();
if (numObjectives < 6)
{
this.weights = UniPointsGenerator.getMUniDistributedPoint(numObjectives, m);
}
else
{
this.weights = UniPointsGenerator.getMaUniDistributedPoint(numObjectives, m, 2);
}
for (int i = 0; i < this.weights.Count; i++)
{
double std = Tool.VectorLen(weights[i]);
for (int j = 0; j < this.numObjectives; j++)
{
this.weights[i][j] /= std;
}
}
this.popsize = this.weights.Count();
Vectors = new List <double[]>();
Vectors.AddRange(weights);
}
protected void InitWeight(int m)
{
this.weights = new List<double[]>();
if (numObjectives < 6) this.weights = UniPointsGenerator.getMUniDistributedPoint(numObjectives, m);
else this.weights = UniPointsGenerator.getMaUniDistributedPoint(numObjectives, m, 2);
this.popsize = this.weights.Count();
this.baseNum = this.popsize;
}
protected void AdjustReferencePoints()
{
List<double[]> wNew = new List<double[]>();
List<List<MoChromosome>> associatedSolution = Clustering(mainpop);
List<double[]> wNew1 = new List<double[]>();
for (int i = 0; i < this.weights.Count(); i++)
{
//sort1(associatedSolution[i]);
if (associatedSolution[i].Count() > 0) wNew.Add(this.weights[i]);
else wNew1.Add(this.weights[i]);
}
if (wNew.Count() > 0.9 * popsize) return;
List<double[]> result = new List<double[]>();
List<double[]> temp = new List<double[]>();
int n = GetH((int)(popsize * baseNum * 1.0 / wNew.Count()), this.numObjectives);
temp = UniPointsGenerator.getMUniDistributedPoint(numObjectives, n);
baseNum = temp.Count();
double dt = threshold;
threshold = GetThreshold(temp);
for (int i = 0; i < temp.Count(); i++)
{
double min = Double.MaxValue;
for (int j = 0; j < wNew.Count(); j++)
{
double tp2 = Distance(temp[i], wNew[j]);
if (tp2 < min) min = tp2;
}
if (min <= dt)
{
result.Add(temp[i]);
}
}
weights.Clear();
weights.AddRange(result);
H = n;
}
protected void InitWeight(int m)
{
this.weights = new List <double[]>();
if (numObjectives < 6)
{
this.weights = UniPointsGenerator.getMUniDistributedPoint(numObjectives, m);
}
else
{
this.weights = UniPointsGenerator.getMaUniDistributedPoint(numObjectives, m, 2);
}
this.popsize = this.weights.Count();
k = (int)Math.Sqrt(2 * popsize);
}
protected void initWeight(int m)
{
this.weights = new List <double[]>();
if (numObjectives < 6)
{
this.weights = UniPointsGenerator.getMUniDistributedPoint(numObjectives, m);
}
else
{
this.weights = UniPointsGenerator.getMaUniDistributedPoint(numObjectives, m, 2);
}
this.K = this.weights.Count();
this.S = this.K;
this.popsize = K * S;
}
private static double DTLZIGD(List <double[]> solution, string prob, int objs)
{
List <double[]> list = new List <double[]>();
int div = 0;
switch (objs)
{
case 3:
div = 12;
break;
case 5:
div = 6;
break;
case 8:
div = 3;
break;
case 10:
div = 3;
break;
case 15:
div = 2;
break;
}
if (objs < 6)
{
list = UniPointsGenerator.getMUniDistributedPoint(objs, div);
}
else
{
list = UniPointsGenerator.getMaUniDistributedPoint(objs, div, 2);
}
List <double[]> front = new List <double[]>();
if (prob.IndexOf("DTLZ1") != -1)
{
for (int i = 0; i < list.Count(); i++)
{
double[] arr = new double[objs];
double sum = 0.0;
for (int j = 0; j < objs; j++)
{
sum += list[i][j];
}
for (int j = 0; j < objs; j++)
{
arr[j] = 0.5 * list[i][j] / sum;
}
front.Add(arr);
}
}
else
{
for (int i = 0; i < list.Count(); i++)
{
double[] arr = new double[objs];
double sum = 0.0;
for (int j = 0; j < objs; j++)
{
sum += list[i][j] * list[i][j];
}
sum = Math.Sqrt(sum);
for (int j = 0; j < objs; j++)
{
arr[j] = list[i][j] / sum;
}
front.Add(arr);
}
}
return(IGD(solution, front));
}
