private static void TestGA()
{
TSP tsp = VRPLoader.readTSP(vrps[0]);
List <(double, double, double)> stats;
List <int> bestSolution;
(bestSolution, stats) = GA.Run(tsp, 100, 100, 0.7, 0.1, 5);
Console.WriteLine("Solution: " + ListToString(bestSolution));
Console.WriteLine("Distance: " + tsp.Evaluate(bestSolution).ToString());
}
private static void LogStats()
{
string s = "problem;generation;best;worst;average\n";
foreach (string filename in vrps)
{
TSP evaluation = VRPLoader.readTSP(filename);
List <(double, double, double)> stats;
(_, stats) = GA.Run(evaluation, 100, 100, 0.6, 0.3, 10);
for (int i = 0; i < stats.Count; i++)
{
s += filename + ";" + i.ToString() + ";" + stats[i].Item1.ToString() + ";" + stats[i].Item2.ToString() + ";" + stats[i].Item3.ToString() + "\n";
}
}
File.WriteAllText("stats-test.csv", s);
}
private static List <double> TestPopSize(TSP evaluation, int repeats)
{
List <(double, double, double)> stats;
List <int> bestSolution;
List <int> range = new List <int>();
List <double> results = new List <double>();
for (int i = 0; i < 10; i++)
{
range.Add(100 * (i + 1));
}
foreach (int prob in range)
{
List <double> scores = new List <double>();
for (int i = 0; i < repeats; i++)
{
(bestSolution, stats) = GA.Run(evaluation, prob, 100, 0.7, 0.1, 5);
scores.Add(stats[stats.Count - 1].Item1);
}
results.Add(Median(scores));
}
File.WriteAllText(".\\popsize-test.csv", ResultsToString(range, results));
return(results);
}
