public PopulationBase(PopulationSettings settings, Board board)
{
this.settings = settings;
this.board = board;
genomeOperations = new GenomeOperations();
}
public StatSimulation(int runCount, int boardSeed, PopulationSettings populationSettings)
{
this.runCount = runCount;
this.boardSeed = boardSeed;
this.populationSettings = populationSettings;
boardSource = new BoardSourceStatistical(10, 10, this.boardSeed);
}
public PopulationMultiRun(PopulationSettings settings, Board board)
: base(settings, board)
{
}
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);
}
}
}
}
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);
}
}
public StatSimulationMultiRunResult(PopulationSettings settings, string settingsString)
{
this.settings = settings;
SettingsString = settingsString;
}