public PSOLabel(PSO <PointND> pso_obj, int locX, int locY, int fontSize = 16) : base()
{
this.pso_obj = pso_obj;
ForeColor = Color.Black;
BackColor = Color.White;
Location = new Point(locX, locY);
Font = new Font("Arial", fontSize);
}
public static string BestPosString <T>(PSO <T> psoObj)
{
double[] globBest = psoObj.getBest().Item1;
double globBestValue = psoObj.getBest().Item2;
return("Global best position: " + Math.Round(globBest[0], 4).ToString() + ", " + Math.Round(globBest[1], 4).ToString() + "\n"
+ "Global best fitness: " + Math.Round(globBestValue, 4).ToString());
}
static void Main(string[] args)
{
#region Populare Domeniu
var lines = System.IO.File.ReadAllLines("C:\\Users\\Deus\\Documents\\Visual Studio 2015\\Projects\\Lab2Ai\\Lab2Ai\\date\\02_date3.txt");
foreach (var line in lines)
{
Console.WriteLine(line);
}
var size = Int32.Parse(lines[0]);
var numbers = lines[1].Split(Convert.ToChar(" "));
Config.Domeniu = new List <double>(size);
foreach (var number in numbers)
{
if (number != "")
{
Config.Domeniu.Add(Double.Parse(number));
}
}
#endregion
// var p1 = new Particula(1);
// p1.Create(1);
// var p2 = new Particula(1);
// p2.Create(1);
// var p3 = new Particula(1);
// p3.Create(1);
// var p4 = new Particula(1);
// p4.Create(1);
// var p5 = new Particula(1);
// p5.Create(1);
//
//
// var listaTest = new List<Particula>();
// listaTest.Add(p1);
// listaTest.Add(p2);
// listaTest.Add(p3);
// listaTest.Add(p4);
// listaTest.Add(p5);
// listaTest = listaTest.OrderByDescending(particula =>particula.Fitness() ).ToList();
var pso = new PSO(5, 2, 10, -100, 15);
pso.Run();
}
public InfoLabel(int locX, int locY, int fontSize, ParamInfo <T> stringMaker, PSO <T> psoObj, string initText = "") : base()
{
_psoObj = psoObj;
_stringMaker = stringMaker;
ForeColor = Color.Black;
BackColor = Color.White;
Location = new Point(locX, locY);
Font = new Font("Arial", fontSize);
Text = initText;
}
public Individual(PSO <T> parentRef, int thisIdx)
{
this.parentRef = parentRef;
bestNbrPos = new double[parentRef.dim];
bestPersPos = new double[parentRef.dim];
bestNbrValue = -Double.MaxValue;
bestPersValue = -Double.MaxValue;
setNbrIdxes(thisIdx);
initPos();
initVel();
evaluate();
}
private void initPSO(Func <double [], List <PointND>, double> objectiveFunc)
{
/*
* List<float[]> psoRefs = new List<float[]>();
* foreach(var refPt in refPoints)
* {
* psoRefs.Add(refPt.get_internal_repr());
* }
*/
int dim = 2;
Tuple <double, double>[] ranges = new Tuple <double, double> [dim];
ranges[0] = new Tuple <double, double>(-30.0, 30.0);
ranges[1] = new Tuple <double, double>(-30.0, 30.0);
pso_obj = new PSO <PointND>(2, 30, 0.999, new LinearScale(minCogScale, maxCogScale, initCogScale, -0.0000f),
new LinearScale(minSocScale, maxSocScale, initSocScale, 0.0000f), psoScaleSpeed, objectiveFunc, refPoints, 1, ranges);
}
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 string SocScaleString <T>(PSO <T> psoObj)
{
float socScale = psoObj.getSocScale();
return("Social scale: " + (socScale * psoObj.getSpeed()).ToString());
}
public static string CogScaleString <T>(PSO <T> psoObj)
{
float cogScale = psoObj.getCogScale();
return("Cognitive scale: " + Math.Round(cogScale * psoObj.getSpeed(), 4).ToString());
}
public SocScaleLabel(PSO <PointND> pso_obj, int locX, int locY) : base(pso_obj, locX, locY)
{
Text = "Social scale";
}
public CogScaleLabel(PSO <PointND> pso_obj, int locX, int locY) : base(pso_obj, locX, locY)
{
Text = "Cognitive scale";
}
public BestPosLabel(PSO <PointND> pso_obj, int locX, int locY) : base(pso_obj, locX, locY)
{
Text = "Global best position: 0\nGlobal best fitness: 0";
}
static void Main(string[] args)
{
System.Threading.Thread.CurrentThread.CurrentUICulture = System.Globalization.CultureInfo.CreateSpecificCulture("en-US");
Util.InicializaRandom(100); //MUDAR PARA 100
int numParticulas = 10;
int dimensoes = 100 ;
int numeroMaximoAvaliacoesFuncao = 100;
int numIteracoesPorConfig = 1;
double[][] resultados = new double[numIteracoesPorConfig][];
string dataSetPath = @"C:\Users\Edgar Almeida\Desktop\Dados\caxias.txt";
for (int l = 0; l < numIteracoesPorConfig; l++)
{
resultados[l] = new double[4];// fitness, EPMA, inputN, hiddenNodes
}
using (TextWriter twResult = new StreamWriter(@"C:\Users\Edgar Almeida\Desktop\Dados\PSOWilcox.txt"))
{
// Clerc
Configuracao config2 = new Configuracao(numeroMaximoAvaliacoesFuncao, 0.9, 2.05, 2.05, ETipoTopologia.Local, false, false, ETipoAtualizacaoVelocidade.Clerc);
#region Config2
Console.WriteLine("Config2");
for (int i = 0; i < numIteracoesPorConfig; i++)
{
using (TextWriter twConfig = new StreamWriter(@"C:\Users\Edgar Almeida\Desktop\Dados\PSOConfig2_" + i + ".txt"))
{
List<Particula> particulas = CriarParticulasAleatorias(dimensoes, numParticulas);
PSO teste = new PSO(particulas, config2, dataSetPath);
Particula melhorParticula = teste.Executar(twConfig);
resultados[i][0]= melhorParticula.MelhorFitness;
resultados[i][1] = melhorParticula.BestEval.ValidationEPMA;
resultados[i][2] = melhorParticula.Config.Prov.InputsN;
resultados[i][3] = melhorParticula.Config.HidenNodesNumber;
twResult.Write(resultados[i][0].ToString(System.Globalization.CultureInfo.CreateSpecificCulture("en-US")));
Console.Write(resultados[i][0].ToString(System.Globalization.CultureInfo.CreateSpecificCulture("en-US")));
twResult.Write(" " + resultados[i][1].ToString(System.Globalization.CultureInfo.CreateSpecificCulture("en-US")));
Console.Write(" " + resultados[i][1].ToString(System.Globalization.CultureInfo.CreateSpecificCulture("en-US")));
twResult.Write(" " + resultados[i][2].ToString(System.Globalization.CultureInfo.CreateSpecificCulture("en-US")));
Console.Write(" " + resultados[i][2].ToString(System.Globalization.CultureInfo.CreateSpecificCulture("en-US")));
twResult.Write(" " + resultados[i][3].ToString(System.Globalization.CultureInfo.CreateSpecificCulture("en-US")));
Console.Write(" " + resultados[i][3].ToString(System.Globalization.CultureInfo.CreateSpecificCulture("en-US")));
twResult.WriteLine();
Console.WriteLine();
/////////////////// Salvando predição ///////////////////////////////
double real = 0;
double prediction = 0;
double Error = 0;
StreamWriter File = new System.IO.StreamWriter(@"C:\Users\Edgar Almeida\Desktop\Dados\" + "predicao"+ i +".csv", true);
for (int m = 0; m < melhorParticula.Config.Prov.ValidationSetLines; m++)
{
for (int j = 0; j < melhorParticula.Config.Prov.OutputsN; j++)
{
real = melhorParticula.Config.Prov.DeNormalizeData(melhorParticula.Config.Prov.ValidationSet[m].Output[j], PSO.outputA, PSO.outputB, j + (int)melhorParticula.Config.Prov.InputsN);
prediction = melhorParticula.Config.Prov.DeNormalizeData(melhorParticula.Eval.ELM.GetValidationT[m][j], PSO.outputA, PSO.outputB, j + (int)melhorParticula.Config.Prov.InputsN);
Error = real - prediction;
File.WriteLine(real + ";" + prediction + ";" + Error);
}
}
File.Close();
}
}
#endregion
for (int l = 0; l < resultados.Length; l++)
{
twResult.Write(resultados[l][0].ToString(System.Globalization.CultureInfo.CreateSpecificCulture("en-US")));
Console.Write(resultados[l][0].ToString(System.Globalization.CultureInfo.CreateSpecificCulture("en-US")));
twResult.Write(" " +resultados[l][1].ToString(System.Globalization.CultureInfo.CreateSpecificCulture("en-US")));
Console.Write(" " + resultados[l][1].ToString(System.Globalization.CultureInfo.CreateSpecificCulture("en-US")));
twResult.Write(" " + resultados[l][2].ToString(System.Globalization.CultureInfo.CreateSpecificCulture("en-US")));
Console.Write(" " + resultados[l][2].ToString(System.Globalization.CultureInfo.CreateSpecificCulture("en-US")));
twResult.Write(" " + resultados[l][3].ToString(System.Globalization.CultureInfo.CreateSpecificCulture("en-US")));
Console.Write(" " + resultados[l][3].ToString(System.Globalization.CultureInfo.CreateSpecificCulture("en-US")));
twResult.WriteLine();
Console.WriteLine();
}
}
Console.WriteLine("FIM");
Console.ReadLine();
}
