private void OutputAvg(GeneticTS geneticTS, List <List <double> > bestMaster, List <List <double> > avgMaster, string experimentName)
{
if (!File.Exists("output.csv"))
{
File.Create("output.csv").Close();
}
StreamWriter data = new StreamWriter("output.csv", true);
string[] expInfo = geneticTS.GetExperimentInfo();
foreach (var line in expInfo)
{
data.WriteLine(line);
}
data.WriteLine("");
data.WriteLine(experimentName);
data.WriteLine("Best Fitness " + "," + "Average Fitness");
//Depth
for (int i = 0; i < bestMaster.Max(x => x.Count) - 1; i++)
{
//Breadth
double avgBest = 0;
double avgAvg = 0;
for (int k = 0; k < bestMaster.Count; k++)
{
avgBest += (i >= bestMaster[k].Count) ? bestMaster[k].Last() : bestMaster[k][i];
avgAvg += (i >= avgMaster[k].Count) ? avgMaster[k].Last() : avgMaster[k][i];
}
data.WriteLine(avgBest / bestMaster.Count + "," + avgAvg / avgMaster.Count);
}
data.WriteLine("");
data.Close();
data.Dispose();
}
private void Output1(GeneticTS geneticTS, List <double> bestMaster, List <double> avgMaster, string experimentName)
{
if (!File.Exists("output.csv"))
{
File.Create("output.csv").Close();
}
StreamWriter data = new StreamWriter("output.csv", true);
string[] expInfo = geneticTS.GetExperimentInfo();
foreach (var line in expInfo)
{
data.WriteLine(line);
}
data.WriteLine("");
data.WriteLine(experimentName);
data.WriteLine("Best Fitness " + "," + "Average Fitness");
for (int i = 0; i < bestMaster.Count; i++)
{
data.WriteLine(bestMaster[i] + ", " + avgMaster[i]);
}
data.WriteLine("");
data.Close();
data.Dispose();
}
