public void LoadPopulationSettingsFromCSV(string path)
{
using (FileStream fs = new FileStream(path, FileMode.Open))
{
using (StreamReader reader = new StreamReader(fs))
{
paramHeader = reader.ReadLine();
string[] splits = ParamHeader.Split(new[] {","}, StringSplitOptions.None);
for (int i = 0; i < splits.Length; i++)
{
paramOrder.Add(splits[i], i);
}
while (!reader.EndOfStream)
{
//filterRate,crossRate,mutateRate,populationSize,generations
string param = reader.ReadLine();
string[] paramSplits = param.Split(new[] {","}, StringSplitOptions.None);
double crossRate = Convert.ToDouble(paramSplits[paramOrder["crossRate"]]);
double filterRate = Convert.ToDouble(paramSplits[paramOrder["filterRate"]]);
double mutateRate = Convert.ToDouble(paramSplits[paramOrder["mutateRate"]]);
int populationSize = Convert.ToInt32(paramSplits[paramOrder["populationSize"]]);
int generations = Convert.ToInt32(paramSplits[paramOrder["generations"]]);
PopulationSettings settings = new PopulationSettings(generations, populationSize, mutateRate, filterRate, populationSize, crossRate);
StatSimulationMultiRunResult result = new StatSimulationMultiRunResult(settings, param);
Settingses.Add(result);
}
}
}
}
private void GetResultParallel(StatSimulationMultiRunResult result)
{
StatSimulation simulation = new StatSimulation(runCount, boardSeed, result.Settings);
simulation.RunAnalysis();
result.AverageScore = simulation.Results.Average(c => c.Fitness);
result.StandardDeviation = simulation.Results.StandardDeviation(c => c.Fitness);
result.RunTimeElapsed = simulation.RunTimeElapsed;
simulation.WriteAnalysis(string.Format(@"{0}\{1}", TopFolder, result.SettingsString));
InvokePercentCompleteChanged(new PercentCompleteEventArgs(++Count/Settingses.Count));
}
public void CreateRandomPopulation(int paramSetCount)
{
for (int i = 0; i < paramSetCount; i++)
{
double crossRate = RandomSource.Instance.NextDoublePositive();
double filterRate = RandomSource.Instance.NextDoublePositive();
double mutateRate = RandomSource.Instance.NextDoublePositive();
int populationSize = RandomSource.Instance.Next(20, 100);
int generations = RandomSource.Instance.Next(1, 50);
PopulationSettings settings = new PopulationSettings(generations, populationSize, mutateRate, filterRate, populationSize, crossRate);
StatSimulationMultiRunResult result = new StatSimulationMultiRunResult(settings, settings.DefaultParamString);
Settingses.Add(result);
}
}