public static void Main(String[] args)
{
var runSize = 100;
var runTime = 100;
List <float> ans = new List <float>();
List <String> results = new List <String>();
List <float> allResults = new List <float>();
List <float> numofDecptive = new List <float>();
List <String> allGenerationBests = new List <String>();
List <float> deceptivesInRun = new List <float>();
results.Add("Average,Best,Worst");
var par = "";
for (var a = 0; a < runTime; a++)
{
Results resGA = GeneticAlgorithm.runGA(runSize);
ans = resGA.GenerationsTaken;
par = resGA.Parameters;
if (a < 1)
{
allGenerationBests.AddRange(resGA.GenerationResults);
deceptivesInRun.Add(resGA.numOfDecptiveBits);
}
allResults.AddRange(ans);
if (ans.Sum() == 0)
{
Console.WriteLine("No ideal has been found");
}
Console.WriteLine("The Average of the Results are: " + ans.Average() + " At run: " + a);
results.Add(ans.Average() + "," + ans.Min() + "," + ans.Max());
ans.Clear();
}
results.Add(par);
outputRunResults(allResults);
outputGenerationBestResults(allGenerationBests);
using (System.IO.StreamWriter file =
new System.IO.StreamWriter("\\FYP_Results\\" + experiment + "\\results_average_" + runtype + ".csv"))
{
foreach (String res in results)
{
file.WriteLine(res);
}
}
outputSummation(results, allResults, allGenerationBests);
}