public static double fitness(PServer sc, List <Server>[] wlist, List <Relation> re)
{
double p = 0;
for (int i = 0; i < Constnum.PARTICE_DIM; i++)
{
for (int j = 0; j < re.Count; j++)
{
if (re[j].Front[0] == i && re[j].Front[1] == sc.task[i])
{
for (int k = i + 1; k < Constnum.PARTICE_DIM; k++)
{
if (re[j].Back[0] == k && re[j].Back[1] == sc.task[k])
{
p += re[j].Policy;
}
}
}
}
}
double fit = 0;
double A = 1, T = 0, C = 0, R = 1;
for (int i = 0; i < Constnum.PARTICE_DIM; i++)
{
//fit += Constnum.weight[0] * wlist[i][sc.getIndextask(i)].getresponsetime() +
// Constnum.weight[1] * wlist[i][sc.getIndextask(i)].getcost() +
// Constnum.weight[2] * wlist[i][sc.getIndextask(i)].getavailability() +
// Constnum.weight[3] * wlist[i][sc.getIndextask(i)].getreputation();
//A *= Constnum.weight[2] * wlist[i][sc.getIndextask(i)].getavailability();
//T += Constnum.weight[0] * wlist[i][sc.getIndextask(i)].getresponsetime();
C += wlist[i][sc.getIndextask(i)].getcost();
//R *= Constnum.weight[3] * wlist[i][sc.getIndextask(i)].getreputation();
}
//fit = A + T + C + R;
fit = C - p;
return(fit);
}
static void Main(string[] args)
{
//真实数据集
string[,] filepath = { { "../Data/RealData/S1_500.txt", "../Data/RealData/S2_500.txt", "../Data/RealData/S3_500.txt", "../Data/RealData/S4_500.txt", "../Data/RealData/S5_500.txt" }, { "../Data/RealData/S1_400.txt", "../Data/RealData/S2_400.txt", "../Data/RealData/S3_400.txt", "../Data/RealData/S4_400.txt", "../Data/RealData/S5_400.txt" }, { "../Data/RealData/S1_300.txt", "../Data/RealData/S2_300.txt", "../Data/RealData/S3_300.txt", "../Data/RealData/S4_300.txt", "../Data/RealData/S5_300.txt" }, { "../Data/RealData/S1_200.txt", "../Data/RealData/S2_200.txt", "../Data/RealData/S3_200.txt", "../Data/RealData/S4_200.txt", "../Data/RealData/S5_200.txt" }, { "../Data/RealData/S1_100.txt", "../Data/RealData/S2_100.txt", "../Data/RealData/S3_100.txt", "../Data/RealData/S4_100.txt", "../Data/RealData/S5_100.txt" } };
//string[,] filepath = { { "../Data/Random/S1_500.txt", "../Data/Random/S2_500.txt", "../Data/Random/S3_500.txt", "../Data/Random/S4_500.txt", "../Data/Random/S5_500.txt" }, { "../Data/Random/S1_400.txt", "../Data/Random/S2_400.txt", "../Data/Random/S3_400.txt", "../Data/Random/S4_400.txt", "../Data/Random/S5_400.txt" }, { "../Data/Random/S1_300.txt", "../Data/Random/S2_300.txt", "../Data/Random/S3_300.txt", "../Data/Random/S4_300.txt", "../Data/Random/S5_300.txt" }, { "../Data/Random/S1_200.txt", "../Data/Random/S2_200.txt", "../Data/Random/S3_200.txt", "../Data/Random/S4_200.txt", "../Data/Random/S5_200.txt" }, { "../Data/Random/S1_100.txt", "../Data/Random/S2_100.txt", "../Data/Random/S3_100.txt", "../Data/Random/S4_100.txt", "../Data/Random/S5_100.txt" } };
//真实数据集关系集
string[,] repath =
{
{ "../data/relation/real/s10/s_500.txt", "../data/relation/real/s10/s_400.txt", "../data/relation/real/s10/s_300.txt", "../data/relation/real/s10/s_200.txt", "../data/relation/real/s10/s_100.txt" },
{ "../data/relation/real/s11/s_500.txt", "../data/relation/real/s11/s_400.txt", "../data/relation/real/s11/s_300.txt", "../data/relation/real/s11/s_200.txt", "../data/relation/real/s11/s_100.txt" },
{ "../data/relation/real/s12/s_500.txt", "../data/relation/real/s12/s_400.txt", "../data/relation/real/s12/s_300.txt", "../data/relation/real/s12/s_200.txt", "../data/relation/real/s12/s_100.txt" },
{ "../data/relation/real/s13/s_500.txt", "../data/relation/real/s13/s_400.txt", "../data/relation/real/s13/s_300.txt", "../data/relation/real/s13/s_200.txt", "../data/relation/real/s13/s_100.txt" },
{ "../data/relation/real/s14/s_500.txt", "../data/relation/real/s14/s_400.txt", "../data/relation/real/s14/s_300.txt", "../data/relation/real/s14/s_200.txt", "../data/relation/real/s14/s_100.txt" },
{ "../data/relation/real/s15/s_500.txt", "../data/relation/real/s15/s_400.txt", "../data/relation/real/s15/s_300.txt", "../data/relation/real/s15/s_200.txt", "../data/relation/real/s15/s_100.txt" },
{ "../data/relation/real/s16/s_500.txt", "../data/relation/real/s16/s_400.txt", "../data/relation/real/s16/s_300.txt", "../data/relation/real/s16/s_200.txt", "../data/relation/real/s16/s_100.txt" },
{ "../data/relation/real/s17/s_500.txt", "../data/relation/real/s17/s_400.txt", "../data/relation/real/s17/s_300.txt", "../data/relation/real/s17/s_200.txt", "../data/relation/real/s17/s_100.txt" },
{ "../data/relation/real/s18/s_500.txt", "../data/relation/real/s18/s_400.txt", "../data/relation/real/s18/s_300.txt", "../data/relation/real/s18/s_200.txt", "../data/relation/real/s18/s_100.txt" },
{ "../data/relation/real/s19/s_500.txt", "../data/relation/real/s19/s_400.txt", "../data/relation/real/s19/s_300.txt", "../data/relation/real/s19/s_200.txt", "../data/relation/real/s19/s_100.txt" },
{ "../data/relation/real/s20/s_500.txt", "../data/relation/real/s20/s_400.txt", "../data/relation/real/s20/s_300.txt", "../data/relation/real/s20/s_200.txt", "../data/relation/real/s20/s_100.txt" },
{ "../data/relation/real/s21/s_500.txt", "../data/relation/real/s21/s_400.txt", "../data/relation/real/s21/s_300.txt", "../data/relation/real/s21/s_200.txt", "../data/relation/real/s21/s_100.txt" },
{ "../data/relation/real/s22/s_500.txt", "../data/relation/real/s22/s_400.txt", "../data/relation/real/s22/s_300.txt", "../data/relation/real/s22/s_200.txt", "../data/relation/real/s22/s_100.txt" },
{ "../data/relation/real/s23/s_500.txt", "../data/relation/real/s23/s_400.txt", "../data/relation/real/s23/s_300.txt", "../data/relation/real/s23/s_200.txt", "../data/relation/real/s23/s_100.txt" },
{ "../data/relation/real/s24/s_500.txt", "../data/relation/real/s24/s_400.txt", "../data/relation/real/s24/s_300.txt", "../data/relation/real/s24/s_200.txt", "../data/relation/real/s24/s_100.txt" },
{ "../data/relation/real/s25/s_500.txt", "../data/relation/real/s25/s_400.txt", "../data/relation/real/s25/s_300.txt", "../data/relation/real/s25/s_200.txt", "../data/relation/real/s25/s_100.txt" },
{ "../data/relation/real/s26/s_500.txt", "../data/relation/real/s26/s_400.txt", "../data/relation/real/s26/s_300.txt", "../data/relation/real/s26/s_200.txt", "../data/relation/real/s26/s_100.txt" },
{ "../data/relation/real/s27/s_500.txt", "../data/relation/real/s27/s_400.txt", "../data/relation/real/s27/s_300.txt", "../data/relation/real/s27/s_200.txt", "../data/relation/real/s27/s_100.txt" },
{ "../data/relation/real/s28/s_500.txt", "../data/relation/real/s28/s_400.txt", "../data/relation/real/s28/s_300.txt", "../data/relation/real/s28/s_200.txt", "../data/relation/real/s28/s_100.txt" },
{ "../data/relation/real/s29/s_500.txt", "../data/relation/real/s29/s_400.txt", "../data/relation/real/s29/s_300.txt", "../data/relation/real/s29/s_200.txt", "../data/relation/real/s29/s_100.txt" },
{ "../data/relation/real/s30/s_500.txt", "../data/relation/real/s30/s_400.txt", "../data/relation/real/s30/s_300.txt", "../data/relation/real/s30/s_200.txt", "../data/relation/real/s30/s_100.txt" },
{ "../data/relation/real/s31/s_500.txt", "../data/relation/real/s31/s_400.txt", "../data/relation/real/s31/s_300.txt", "../data/relation/real/s31/s_200.txt", "../data/relation/real/s31/s_100.txt" },
{ "../data/relation/real/s32/s_500.txt", "../data/relation/real/s32/s_400.txt", "../data/relation/real/s32/s_300.txt", "../data/relation/real/s32/s_200.txt", "../data/relation/real/s32/s_100.txt" },
{ "../data/relation/real/s33/s_500.txt", "../data/relation/real/s33/s_400.txt", "../data/relation/real/s33/s_300.txt", "../data/relation/real/s33/s_200.txt", "../data/relation/real/s33/s_100.txt" },
{ "../data/relation/real/s34/s_500.txt", "../data/relation/real/s34/s_400.txt", "../data/relation/real/s34/s_300.txt", "../data/relation/real/s34/s_200.txt", "../data/relation/real/s34/s_100.txt" },
{ "../data/relation/real/s35/s_500.txt", "../data/relation/real/s35/s_400.txt", "../data/relation/real/s35/s_300.txt", "../data/relation/real/s35/s_200.txt", "../data/relation/real/s35/s_100.txt" },
{ "../data/relation/real/s36/s_500.txt", "../data/relation/real/s36/s_400.txt", "../data/relation/real/s36/s_300.txt", "../data/relation/real/s36/s_200.txt", "../data/relation/real/s36/s_100.txt" },
{ "../data/relation/real/s37/s_500.txt", "../data/relation/real/s37/s_400.txt", "../data/relation/real/s37/s_300.txt", "../data/relation/real/s37/s_200.txt", "../data/relation/real/s37/s_100.txt" },
{ "../data/relation/real/s38/s_500.txt", "../data/relation/real/s38/s_400.txt", "../data/relation/real/s38/s_300.txt", "../data/relation/real/s38/s_200.txt", "../data/relation/real/s38/s_100.txt" },
{ "../data/relation/real/s39/s_500.txt", "../data/relation/real/s39/s_400.txt", "../data/relation/real/s39/s_300.txt", "../data/relation/real/s39/s_200.txt", "../data/relation/real/s39/s_100.txt" }, { "../data/relation/real/s0/s_500.txt", "../data/relation/real/s0/s_400.txt", "../data/relation/real/s0/s_300.txt", "../data/relation/real/s0/s_200.txt", "../data/relation/real/s0/s_100.txt" }
};
////随机数据集关系集
//string[,] repath = {
// { "../Data/Relation/Random/S10/S_500.txt", "../Data/Relation/Random/S10/S_400.txt", "../Data/Relation/Random/S10/S_300.txt", "../Data/Relation/Random/S10/S_200.txt", "../Data/Relation/Random/S10/S_100.txt" },
// { "../Data/Relation/Random/S11/S_500.txt", "../Data/Relation/Random/S11/S_400.txt", "../Data/Relation/Random/S11/S_300.txt", "../Data/Relation/Random/S11/S_200.txt", "../Data/Relation/Random/S11/S_100.txt" },
// { "../Data/Relation/Random/S12/S_500.txt", "../Data/Relation/Random/S12/S_400.txt", "../Data/Relation/Random/S12/S_300.txt", "../Data/Relation/Random/S12/S_200.txt", "../Data/Relation/Random/S12/S_100.txt" },
// { "../Data/Relation/Random/S13/S_500.txt", "../Data/Relation/Random/S13/S_400.txt", "../Data/Relation/Random/S13/S_300.txt", "../Data/Relation/Random/S13/S_200.txt", "../Data/Relation/Random/S13/S_100.txt" },
// { "../Data/Relation/Random/S14/S_500.txt", "../Data/Relation/Random/S14/S_400.txt", "../Data/Relation/Random/S14/S_300.txt", "../Data/Relation/Random/S14/S_200.txt", "../Data/Relation/Random/S14/S_100.txt" },
// { "../Data/Relation/Random/S15/S_500.txt", "../Data/Relation/Random/S15/S_400.txt", "../Data/Relation/Random/S15/S_300.txt", "../Data/Relation/Random/S15/S_200.txt", "../Data/Relation/Random/S15/S_100.txt" },
// { "../Data/Relation/Random/S16/S_500.txt", "../Data/Relation/Random/S16/S_400.txt", "../Data/Relation/Random/S16/S_300.txt", "../Data/Relation/Random/S16/S_200.txt", "../Data/Relation/Random/S16/S_100.txt"},
// { "../Data/Relation/Random/S17/S_500.txt", "../Data/Relation/Random/S17/S_400.txt", "../Data/Relation/Random/S17/S_300.txt", "../Data/Relation/Random/S17/S_200.txt", "../Data/Relation/Random/S17/S_100.txt"},
// { "../Data/Relation/Random/S18/S_500.txt", "../Data/Relation/Random/S18/S_400.txt", "../Data/Relation/Random/S18/S_300.txt", "../Data/Relation/Random/S18/S_200.txt", "../Data/Relation/Random/S18/S_100.txt"},
// { "../Data/Relation/Random/S19/S_500.txt", "../Data/Relation/Random/S19/S_400.txt", "../Data/Relation/Random/S19/S_300.txt", "../Data/Relation/Random/S19/S_200.txt", "../Data/Relation/Random/S19/S_100.txt"},
// { "../Data/Relation/Random/S20/S_500.txt", "../Data/Relation/Random/S20/S_400.txt", "../Data/Relation/Random/S20/S_300.txt", "../Data/Relation/Random/S20/S_200.txt", "../Data/Relation/Random/S20/S_100.txt"},
// { "../Data/Relation/Random/S21/S_500.txt", "../Data/Relation/Random/S21/S_400.txt", "../Data/Relation/Random/S21/S_300.txt", "../Data/Relation/Random/S21/S_200.txt", "../Data/Relation/Random/S21/S_100.txt"},
// { "../Data/Relation/Random/S22/S_500.txt", "../Data/Relation/Random/S22/S_400.txt", "../Data/Relation/Random/S22/S_300.txt", "../Data/Relation/Random/S22/S_200.txt", "../Data/Relation/Random/S22/S_100.txt"},
// { "../Data/Relation/Random/S23/S_500.txt", "../Data/Relation/Random/S23/S_400.txt", "../Data/Relation/Random/S23/S_300.txt", "../Data/Relation/Random/S23/S_200.txt", "../Data/Relation/Random/S23/S_100.txt"},
// { "../Data/Relation/Random/S24/S_500.txt", "../Data/Relation/Random/S24/S_400.txt", "../Data/Relation/Random/S24/S_300.txt", "../Data/Relation/Random/S24/S_200.txt", "../Data/Relation/Random/S24/S_100.txt"},
// { "../Data/Relation/Random/S25/S_500.txt", "../Data/Relation/Random/S25/S_400.txt", "../Data/Relation/Random/S25/S_300.txt", "../Data/Relation/Random/S25/S_200.txt", "../Data/Relation/Random/S25/S_100.txt"},
// { "../Data/Relation/Random/S26/S_500.txt", "../Data/Relation/Random/S26/S_400.txt", "../Data/Relation/Random/S26/S_300.txt", "../Data/Relation/Random/S26/S_200.txt", "../Data/Relation/Random/S26/S_100.txt"},
// { "../Data/Relation/Random/S27/S_500.txt", "../Data/Relation/Random/S27/S_400.txt", "../Data/Relation/Random/S27/S_300.txt", "../Data/Relation/Random/S27/S_200.txt", "../Data/Relation/Random/S27/S_100.txt"},
// { "../Data/Relation/Random/S28/S_500.txt", "../Data/Relation/Random/S28/S_400.txt", "../Data/Relation/Random/S28/S_300.txt", "../Data/Relation/Random/S28/S_200.txt", "../Data/Relation/Random/S28/S_100.txt"},
// { "../Data/Relation/Random/S29/S_500.txt", "../Data/Relation/Random/S29/S_400.txt", "../Data/Relation/Random/S29/S_300.txt", "../Data/Relation/Random/S29/S_200.txt", "../Data/Relation/Random/S29/S_100.txt"},
// { "../Data/Relation/Random/S30/S_500.txt", "../Data/Relation/Random/S30/S_400.txt", "../Data/Relation/Random/S30/S_300.txt", "../Data/Relation/Random/S30/S_200.txt", "../Data/Relation/Random/S30/S_100.txt"},
// { "../Data/Relation/Random/S31/S_500.txt", "../Data/Relation/Random/S31/S_400.txt", "../Data/Relation/Random/S31/S_300.txt", "../Data/Relation/Random/S31/S_200.txt", "../Data/Relation/Random/S31/S_100.txt"},
// { "../Data/Relation/Random/S32/S_500.txt", "../Data/Relation/Random/S32/S_400.txt", "../Data/Relation/Random/S32/S_300.txt", "../Data/Relation/Random/S32/S_200.txt", "../Data/Relation/Random/S32/S_100.txt"},
// { "../Data/Relation/Random/S33/S_500.txt", "../Data/Relation/Random/S33/S_400.txt", "../Data/Relation/Random/S33/S_300.txt", "../Data/Relation/Random/S33/S_200.txt", "../Data/Relation/Random/S33/S_100.txt"},
// { "../Data/Relation/Random/S34/S_500.txt", "../Data/Relation/Random/S34/S_400.txt", "../Data/Relation/Random/S34/S_300.txt", "../Data/Relation/Random/S34/S_200.txt", "../Data/Relation/Random/S34/S_100.txt"},
// { "../Data/Relation/Random/S35/S_500.txt", "../Data/Relation/Random/S35/S_400.txt", "../Data/Relation/Random/S35/S_300.txt", "../Data/Relation/Random/S35/S_200.txt", "../Data/Relation/Random/S35/S_100.txt"},
// { "../Data/Relation/Random/S36/S_500.txt", "../Data/Relation/Random/S36/S_400.txt", "../Data/Relation/Random/S36/S_300.txt", "../Data/Relation/Random/S36/S_200.txt", "../Data/Relation/Random/S36/S_100.txt"},
// { "../Data/Relation/Random/S37/S_500.txt", "../Data/Relation/Random/S37/S_400.txt", "../Data/Relation/Random/S37/S_300.txt", "../Data/Relation/Random/S37/S_200.txt", "../Data/Relation/Random/S37/S_100.txt"},
// { "../Data/Relation/Random/S38/S_500.txt", "../Data/Relation/Random/S38/S_400.txt", "../Data/Relation/Random/S38/S_300.txt", "../Data/Relation/Random/S38/S_200.txt", "../Data/Relation/Random/S38/S_100.txt"},
// { "../Data/Relation/Random/S39/S_500.txt", "../Data/Relation/Random/S39/S_400.txt", "../Data/Relation/Random/S39/S_300.txt", "../Data/Relation/Random/S39/S_200.txt", "../Data/Relation/Random/S39/S_100.txt"},
// { "../Data/Relation/Random/S0/S_500.txt", "../Data/Relation/Random/S0/S_400.txt", "../Data/Relation/Random/S0/S_300.txt", "../Data/Relation/Random/S0/S_200.txt", "../Data/Relation/Random/S0/S_100.txt"}
// };
string savefilep = "../Data/result.txt";
FileStream fsr = new FileStream(savefilep, FileMode.Create);
StreamWriter wte = new StreamWriter(fsr);
for (int k1 = 0; k1 < 5; k1++)
{
wte.WriteLine("Data Set " + (500 - 100 * k1) + ":");
string[] filep = { filepath[k1, 0], filepath[k1, 1], filepath[k1, 2], filepath[k1, 3], filepath[k1, 4] };
for (int k2 = 30; k2 < 31; k2++)
{
wte.WriteLine(" Relation set S" + (10 + k2) + ":");
PServer bestserver = new PServer();
List <PServer> scrlist = new List <PServer>();
List <Server>[] wlist = new List <Server> [Constnum.PARTICE_DIM];
List <Relation> re = new List <Relation>();
double fit = 0, totaltime = 0;
wlist = GetData.splitedatafromfile(filep, Constnum.PARTICE_DIM);
re = GetData.GetRelation(repath[k2, k1]);
Timing dobj = new Timing();
int sum = 0;
double totalfit = 0;
double RMSE = 0;
double[] ttfit = new double[101];
for (int i = 0; i < 100; i++)
{
scrlist = PServer.GetinitPserver(wlist);
dobj.startTime();
bestserver = PSO.GetBest(scrlist, wlist, ref fit, re);
dobj.StopTime();
totaltime += dobj.Result().Milliseconds;
totaltime += dobj.Result().Seconds * 1000;
totalfit += fit;
ttfit[i] = fit;
Console.WriteLine("Best fit={0}", fit);
Console.WriteLine("The Best combination is {0},{1},{2},{3},{4}", bestserver.getIndextask(0), bestserver.getIndextask(1), bestserver.getIndextask(2), bestserver.getIndextask(3), bestserver.getIndextask(4));
Console.WriteLine("The time cost is {0}ms,{1}s,**********{2}", dobj.Result().Milliseconds, dobj.Result().Seconds, sum);
wte.WriteLine(" Run " + i + " th result is: fit= " + fit + " ,time= " + (dobj.Result().Seconds *1000 + dobj.Result().Milliseconds));
}
//求均方根误差
for (int i = 0; i < 100; i++)
{
RMSE += (ttfit[i] - totalfit / 100) * (ttfit[i] - totalfit / 100);
}
RMSE = RMSE / 100;
RMSE = Math.Sqrt(RMSE);
Console.WriteLine("Average is {0},time is {1},RMSE is {2},********{3}", totalfit / 100, totaltime / 100, RMSE, (double)sum / 100);
wte.WriteLine(" Average is " + totalfit / 100 + " ,time is " + totaltime / 100 + " ,RMSE is " + RMSE);
}
}
wte.Close();
fsr.Close();
}
public static PServer GetBest(List <PServer> scrlist, List <Server>[] wlist, ref double fit, List <Relation> re)//scrlist表示初始种群，wlist表示子服务集
{
PServer globalBest = new PServer();
List <PServer> serverbest = new List <PServer>();
double globalfit = 1000;
double c1, c2, w;
List <double> serverfit = new List <double>();
for (int i = 0; i < scrlist.Count; i++)//个体最有位置适应度
{
serverbest.Add(new PServer());
serverfit.Add(new double());
serverfit[i] = 1000;
}
List <PServer> v = new List <PServer>();
v = PServer.getInitV(scrlist);
for (int t = 0; t < Constnum.T; t++)//迭代次数
{
Random rad = new Random();
for (int i = 0; i < scrlist.Count; i++)//求每个粒子的fitness
{
if (serverfit[i] > PServer.fitness(scrlist[i], wlist, re))
{
serverfit[i] = PServer.fitness(scrlist[i], wlist, re);
int[] a = new int[Constnum.PARTICE_DIM];
for (int k = 0; k < Constnum.PARTICE_DIM; k++)
{
a[k] = scrlist[i].getIndextask(k);
}
serverbest[i].setservers(a); //最有位置保存
}
if (globalfit > serverfit[i]) //全局最优
{
globalfit = serverfit[i];
int[] a = new int[Constnum.PARTICE_DIM];
for (int k = 0; k < Constnum.PARTICE_DIM; k++)
{
a[k] = serverbest[i].getIndextask(k);
}
globalBest.setservers(a);
}
}
//位置改变产生新的种群
c1 = Constnum.c1max - t * (Constnum.c1max - Constnum.c1min) / Constnum.T;
c2 = Constnum.c2max + t * (Constnum.c2max - Constnum.c2min) / Constnum.T;
//w = Constnum.wmax - t * (Constnum.wmax - Constnum.wmin) / Constnum.T;
w = (Constnum.wmax - Constnum.wmin) * (Constnum.T - t) / Constnum.T + Constnum.wmin;
for (int i = 0; i < scrlist.Count; i++)
{
for (int j = 0; j < Constnum.PARTICE_DIM; j++)
{
double sigema = rad.NextDouble();
double aita = rad.NextDouble();
double vt = w * v[i].getIndextask(j) + c1 * sigema * (serverbest[i].getIndextask(j) - scrlist[i].getIndextask(j)) + c2 * aita * (globalBest.getIndextask(j) - scrlist[i].getIndextask(j));
double xt = vt + scrlist[i].getIndextask(j);
v[i].setIndextask(j, (int)vt);
int p = (int)xt;
if (p < 0)
{
p = p % wlist[j].Count;
p += wlist[j].Count;
}
p = p % wlist[j].Count;
scrlist[i].setIndextask(j, p);
}
}
}
fit = globalfit;
return(globalBest);
}
