public override void CopySelectionsFrom(StandTrajectory trajectory)
{
base.CopySelectionsFrom(trajectory);
this.RainRate = (this.FinalMultiplier - this.IntitialMultiplier) * this.BestObjectiveFunction / this.Iterations;
}
protected override void ProcessRecord()
{
if (this.Runs !.Count < 1)
{
throw new ArgumentOutOfRangeException(nameof(this.Runs));
}
using StreamWriter writer = this.GetWriter();
StringBuilder line = new StringBuilder();
if (this.ShouldWriteHeader())
{
if (this.Runs[0].HighestHeuristicParameters == null)
{
throw new NotSupportedException("Cannot generate header because first run is missing highest solution parameters");
}
line.Append("stand,heuristic," + this.Runs[0].HighestHeuristicParameters !.GetCsvHeader() + ",thin age,rotation,generation,highest min,highest mean,highest max,highest cov,highest alleles,highest heterozygosity,highest individuals,highest polymorphism,lowest min,lowest mean,lowest max,lowest cov,lowest alleles,lowest heterozygosity,lowest individuals,lowest polymorphism");
writer.WriteLine(line);
}
for (int runIndex = 0; runIndex < this.Runs.Count; ++runIndex)
{
HeuristicSolutionDistribution distribution = this.Runs[runIndex];
if ((distribution.HighestSolution == null) || (distribution.LowestSolution == null) || (distribution.HighestHeuristicParameters == null))
{
throw new NotSupportedException("Run " + runIndex + " is missing a highest solution, lowest solution, or highest solution parameters");
}
GeneticAlgorithm highestHeuristic = (GeneticAlgorithm)distribution.HighestSolution;
GeneticAlgorithm lowestHeuristic = (GeneticAlgorithm)distribution.LowestSolution;
StandTrajectory highestTrajectory = highestHeuristic.BestTrajectory;
string linePrefix = highestTrajectory.Name + "," + highestHeuristic.GetName() + "," + distribution.HighestHeuristicParameters.GetCsvValues() + "," + highestTrajectory.GetFirstHarvestAge() + "," + highestTrajectory.GetRotationLength();
PopulationStatistics highestStatistics = highestHeuristic.PopulationStatistics;
PopulationStatistics lowestStatistics = lowestHeuristic.PopulationStatistics;
int maxGenerations = Math.Max(highestStatistics.Generations, lowestStatistics.Generations);
for (int generationIndex = 0; generationIndex < maxGenerations; ++generationIndex)
{
line.Clear();
string?highestMinimumFitness = null;
string?highestMeanFitness = null;
string?highestMaximumFitness = null;
string?highestCoefficientOfVariance = null;
string?highestMeanAlleles = null;
string?highestMeanHeterozygosity = null;
string?highestNewIndividuals = null;
string?highestPolymorphism = null;
if (highestStatistics.Generations > generationIndex)
{
highestMinimumFitness = highestStatistics.MinimumFitnessByGeneration[generationIndex].ToString(CultureInfo.InvariantCulture);
highestMeanFitness = highestStatistics.MeanFitnessByGeneration[generationIndex].ToString(CultureInfo.InvariantCulture);
highestMaximumFitness = highestStatistics.MaximumFitnessByGeneration[generationIndex].ToString(CultureInfo.InvariantCulture);
highestCoefficientOfVariance = highestStatistics.CoefficientOfVarianceByGeneration[generationIndex].ToString(CultureInfo.InvariantCulture);
highestMeanAlleles = highestStatistics.MeanAllelesPerLocusByGeneration[generationIndex].ToString(CultureInfo.InvariantCulture);
highestMeanHeterozygosity = highestStatistics.MeanHeterozygosityByGeneration[generationIndex].ToString(CultureInfo.InvariantCulture);
highestNewIndividuals = highestStatistics.NewIndividualsByGeneration[generationIndex].ToString(CultureInfo.InvariantCulture);
highestPolymorphism = highestStatistics.PolymorphismByGeneration[generationIndex].ToString(CultureInfo.InvariantCulture);
}
string?lowestMinimumFitness = null;
string?lowestMeanFitness = null;
string?lowestMaximumFitness = null;
string?lowestCoefficientOfVariance = null;
string?lowestMeanAlleles = null;
string?lowestMeanHeterozygosity = null;
string?lowestNewIndividuals = null;
string?lowestPolymorphism = null;
if (lowestStatistics.Generations > generationIndex)
{
lowestMinimumFitness = lowestStatistics.MinimumFitnessByGeneration[generationIndex].ToString(CultureInfo.InvariantCulture);
lowestMeanFitness = lowestStatistics.MeanFitnessByGeneration[generationIndex].ToString(CultureInfo.InvariantCulture);
lowestMaximumFitness = lowestStatistics.MaximumFitnessByGeneration[generationIndex].ToString(CultureInfo.InvariantCulture);
lowestCoefficientOfVariance = lowestStatistics.CoefficientOfVarianceByGeneration[generationIndex].ToString(CultureInfo.InvariantCulture);
lowestMeanAlleles = lowestStatistics.MeanAllelesPerLocusByGeneration[generationIndex].ToString(CultureInfo.InvariantCulture);
lowestMeanHeterozygosity = lowestStatistics.MeanHeterozygosityByGeneration[generationIndex].ToString(CultureInfo.InvariantCulture);
lowestNewIndividuals = lowestStatistics.NewIndividualsByGeneration[generationIndex].ToString(CultureInfo.InvariantCulture);
lowestPolymorphism = lowestStatistics.PolymorphismByGeneration[generationIndex].ToString(CultureInfo.InvariantCulture);
}
line.Append(linePrefix + "," +
generationIndex + "," +
highestMinimumFitness + "," +
highestMeanFitness + "," +
highestMaximumFitness + "," +
highestCoefficientOfVariance + "," +
highestMeanAlleles + "," +
highestMeanHeterozygosity + "," +
highestNewIndividuals + "," +
highestPolymorphism + "," +
lowestMinimumFitness + "," +
lowestMeanFitness + "," +
lowestMaximumFitness + "," +
lowestCoefficientOfVariance + "," +
lowestMeanAlleles + "," +
lowestMeanHeterozygosity + "," +
lowestNewIndividuals + "," +
lowestPolymorphism);
writer.WriteLine(line);
}
}
}
