private static void Display(Chromosome <Fraction, Fitness> candidate, Stopwatch watch,
FnGenesToImputsDelegate fnGenesToImputs)
{
var symbols = "xyza".ToCharArray();
var result = string.Join(", ", symbols.Zip(fnGenesToImputs(candidate.Genes), (s, v) => $"{s} = {v}"));
Console.WriteLine("{0}\t{1}\t{2} ms", result, candidate.Fitness, watch.ElapsedMilliseconds);
}
private static void SolveUnknown(int numUnknowns, Fraction[] geneSet, FnEquationDelegate[] equations,
FnGenesToImputsDelegate fnGenesToImputs)
{
var watch = Stopwatch.StartNew();
var maxAge = 50;
var window = new Window(Math.Max(1, geneSet.Length / (2 * maxAge)),
Math.Max(1, geneSet.Length / 3),
geneSet.Length / 2);
var geneIndexes = Enumerable.Range(0, numUnknowns).ToArray();
var sortedGeneSet = geneSet.OrderBy(gene => gene).ToList();
void FnDispaly(Chromosome <Fraction, Fitness> candidate) => Display(candidate, watch, fnGenesToImputs);
Fitness FnGetFitness(IReadOnlyList <Fraction> genes) => GetFitness(genes, equations);
void FnMutate(List <Fraction> genes) => Mutate(genes, sortedGeneSet, window, geneIndexes);
var optimalFitness = new Fitness(new Fraction(0));
var best = Genetic <Fraction, Fitness> .GetBest(FnGetFitness, numUnknowns, optimalFitness, geneSet, FnDispaly, FnMutate,
null, maxAge);
Assert.IsTrue(optimalFitness.CompareTo(best.Fitness) <= 0);
Assert.AreEqual(0.0, (float)best.Fitness.TotalDifference, 0.0001);
}
