/// <summary>
/// Calculates fitness by given metric (fitness score).
/// </summary>
/// <remarks></remarks>
/// <param name="result">Full results dictionary</param>
/// <param name="fitScore">Existing score of effectivness of an algorithm</param>
/// <param name="filterEnabled">Indicates whether need to filter the results</param>
/// <returns></returns>
public static decimal CalculateFitness(Dictionary <string, decimal> result, FitnessScore fitScore, bool filterEnabled)
{
// Calculate fitness using the chosen fitness finction
decimal fitness;
switch (fitScore)
{
case FitnessScore.SharpeRatio:
fitness = result["SharpeRatio"];
break;
case FitnessScore.TotalNetProfit:
fitness = result["TotalNetProfit"];
break;
default:
throw new ArgumentOutOfRangeException(fitScore.ToString(), "StatisticsAdapter.CalculateFitness() : default");
}
// apply filter if enabled
if (filterEnabled)
{
if (!FitnessFilter.IsSuccess(result) || fitness < 0)
{
fitness = FitnessFilter.ErrorValue;
}
}
return(fitness);
}
public override string ToString()
{
return("Id#" + m_network.Id + ", F=" + FitnessScore.ToString("F3"));
}
public override string MakeFitnessScore()
{
FitnessScore = HelperFunctions.ReflFitnessScore(ReflData.Instance.GetReflData, ReflectivityMap, HighQOffset, LowQOffset, ParamSize());
return(FitnessScore.ToString("#.### E-0"));
}
public override string MakeFitnessScore()
{
FitnessScore = HelperFunctions.EDFitnessScore(RealRho, ElectronDensityArray, 0, 0, ParamSize());
return(FitnessScore.ToString("##.### E-0"));
}