public void evaluate()
{
//throw new NotImplementedException();
genCount++;
generationLeaderBoard = new SortedDictionary <double, ICandidate>();
//List<Tuple<ICandidate, double>> canidateFitness = new List<Tuple<ICandidate, double>>();
//Profiler.start("Fitness");
//population.ForEach((x) => canidateFitness.Add(new Tuple<ICandidate, double>(x, x.getFitness())));
//Profiler.stop("Fitness");
//Profiler.start("Ordering");
//canidateFitness = canidateFitness.OrderByDescending((x) => x.Item2).ToList();
//generationLeaderBoard = population.Select((x) => new Tuple<ICandidate, double>(x, x.getFitness())).OrderByDescending((x)=>x.Item2).ToList();
//population.ForEach((p) => generationLeaderBoard.addSorted(new Tuple<ICandidate, double>(p, p.getFitness())));
ICandidate[] aPop = population.ToArray();
for (int i = 0; i < aPop.Length; i++)
{
ICandidate candidate = aPop[i];
generationLeaderBoard.Add(candidate.getFitness(), candidate);
}
//Profiler.stop("Ordering");
//generationLeaderBoard = canidateFitness;
//Profiler.start("Console IO");
if (genLogEvery > 0 && genCount % genLogEvery == 0)
{
KeyValuePair <double, ICandidate> topCanidateFitness = generationLeaderBoard.Last();
Console.WriteLine("[Genus]: Generation {0} ({1} Canidates) with the top candidate {2} with a score of {3}", genCount, population.Count, topCanidateFitness.Value.getDescription(), topCanidateFitness.Key);
}
//Profiler.stop("Console IO");
//Profiler.start("File IO");
if (fileLogEvery > 0 && genCount % fileLogEvery == 0)
{
if (fileStream == null)
{
fileStream = new FileStream(logFile, FileMode.OpenOrCreate);
}
KeyValuePair <double, ICandidate> topCanidateFitness = generationLeaderBoard.Last();
byte[] textdata = System.Text.Encoding.ASCII.GetBytes(topCanidateFitness.Key + " " + topCanidateFitness.Value.getGenome() + "\n");
fileStream.Write(textdata, 0, textdata.Length);
}
//Profiler.stop("File IO");
}
