static void Main(string[] args)
{
var exp = new Experiment(new List <string> {
"fitness", "solGenNum"
});
for (var i = 0; i < 30; i++)
{
var searchModel = new XorNetworkSearch(PopulationParameters, NetworkParameters, ReproductionParameters);
int solutionGenNum = 1001;
for (var g = 0; g < 1000; g++)
{
var res = searchModel.SearchNext();
if (res.FitnessRating[0].Fitness > 0.99 && g < solutionGenNum)
{
solutionGenNum = g;
}
}
var finRes = searchModel.SearchNext();
exp.AddValue("solGenNum", solutionGenNum);
exp.AddValue("fitness", finRes.FitnessRating[0].Fitness);
Console.WriteLine($"{finRes.FitnessRating[0].Fitness}\t{solutionGenNum}");
}
exp.Finish();
Console.WriteLine("Meow.");
}
private void StartSearchLoop()
{
var cancellationToken = _cancellationTokenSource.Token;
var handlesToWait = new[] { cancellationToken.WaitHandle, _runSearchLoop };
void SearchLoop()
{
if (IsRecurrent)
{
ReproductionParameters.WeightMutations.OverallRouletteWheelShare = 75f;
ReproductionParameters.AddConnectionRouletteWheelShare = 16f;
}
while (true)
{
var searchModel = new XorNetworkSearch(
PopulationParameters,
IsRecurrent ? RecurrentNetworkParameters : FeedForwardNetworkParameters,
ReproductionParameters);
SearchResult searchResult = default;
InvokeOnUiThread(HandleStartNewSearchRun);
for (var generation = 0; generation < GenerationsCount; ++generation)
{
WaitHandle.WaitAny(handlesToWait);
if (cancellationToken.IsCancellationRequested)
{
return;
}
var newSearchResult = searchModel.SearchNext();
InvokeOnUiThread(() => HandleNewPopulationFound(newSearchResult));
searchResult = newSearchResult;
}
InvokeOnUiThread(() => HandleFinishSearchRun());
}
}
_searchThread = new Thread(SearchLoop);
_searchThread.Start();
}