public void GA_Start()
{
string filePath = @"D:\PhDWorkwc\PhDWorks\trunk\trunk\ResearchProgramming\DeterministicApproach-GA\StatisticalApproach-GA-NewFlow\bin\Debug\OUT\STDGA\bestmove";
string output = null;
LocalFileAccess lfa = new LocalFileAccess();
double bestFitness = -1;
int generation = 0;
FitnessEvaVect();
PopulationGen();
bestFitness = enVar.population.OrderByDescending(x => x.Value).First().Value;
Console.WriteLine("{0},{1}", generation, bestFitness);
output = "gen: " + generation + " Fitness: " + bestFitness;
lfa.StoreListToLinesAppend(filePath, new List <string>()
{
output
});
while (generation <= 500)
{
Reproduction();
FitnessEvaVect();
PopulationGen();
bestFitness = enVar.population.OrderByDescending(x => x.Value).First().Value;
enVar.genFitRecord[0] = generation;
enVar.genFitRecord[1] = bestFitness;
generation++;
Console.WriteLine("{0},{1}", generation, bestFitness);
output = "gen: " + generation + " Fitness: " + bestFitness;
lfa.StoreListToLinesAppend(filePath, new List <string>()
{
output
});
enVar.continueIndicate = false;
while (enVar.continueIndicate == false)
{
;
}
}
enVar.finishIndicate = true;
}
public async Task <int> Invoke(EnvironmentVar enVar)
{
Dictionary <string, object> sutParam = SUT.SelectSUT(_selectSUT);
sutParam["SUTPath"] = _sutPath;
_record.sutInfo = sutParam;
Task taskInitialSUT = Task.Run(() => {
LocalFileAccess lfa = new LocalFileAccess();
List <string> list = new List <string>();
lfa.StoreLinesToList(_sutPath.ToString(), list);
DataTable dt = new DataTable();
dt.Columns.Add("Input", Type.GetType("System.String"));
for (int i = 0; i < (int)sutParam["NumOfCE"]; i++)
{
dt.Columns.Add((i + 1).ToString(), Type.GetType("System.String"));
}
foreach (string s in list)
{
int length = dt.Rows.Count;
if (length == 0)
{
int c = Convert.ToInt32(s.Substring(s.IndexOf(' ', s.IndexOf(' ') + 1))) + 1;
object[] coverSeq = new object[(int)sutParam["NumOfCE"] + 1];
for (int i = 0; i < coverSeq.Length; i++)
{
coverSeq[i] = 0.0;
}
coverSeq[c] = 1.0;
coverSeq[0] = s.Substring(0, s.IndexOf(' ', s.IndexOf(' ') + 1));
dt.Rows.Add(
coverSeq
);
}
else if (s.Substring(0, s.IndexOf(' ', s.IndexOf(' ') + 1))
== dt.Rows[length - 1].ItemArray[0].ToString())
{
int c = Convert.ToInt32(s.Substring(s.IndexOf(' ', s.IndexOf(' ') + 1) + 1)) + 1;
dt.Rows[length - 1][c] = 1.0;
}
else
{
int c = Convert.ToInt32(s.Substring(s.IndexOf(' ', s.IndexOf(' ') + 1))) + 1;
object[] coverSeq = new object[(int)sutParam["NumOfCE"] + 1];
for (int i = 0; i < coverSeq.Length; i++)
{
coverSeq[i] = 0.0;
}
coverSeq[c] = 1.0;
coverSeq[0] = s.Substring(0, s.IndexOf(' ', s.IndexOf(' ') + 1));
dt.Rows.Add(
coverSeq
);
}
}
sutParam["Map"] = dt.AsEnumerable()
.ToDictionary <DataRow, string, double[]>(
row => row.Field <string>(0),
row =>
{
double[] coverSeq = new double[(int)sutParam["NumOfCE"]];
for (int i = 0; i < (int)sutParam["NumOfCE"]; i++)
{
coverSeq[i] = Convert.ToDouble(row.ItemArray[i + 1]);
}
return(coverSeq);
});
});
await taskInitialSUT;
await _next(enVar);
Console.WriteLine("All tasks are done");
return(0);
}