public void OptimizeTest()
{
var geneSet = Enumerable.Range(1, 512).ToArray();
var length = 10;
var maxSeconds = 2;
double FnGetFitness(IReadOnlyList <int> genes)
{
var watch = Stopwatch.StartNew();
var count = 0.0;
var stdout = Console.Out;
Console.SetOut(TextWriter.Null);
while (watch.ElapsedMilliseconds < maxSeconds * 1000)
{
var found = ApproximatePi(genes, maxSeconds);
if (found)
{
count += 1.0;
}
}
Console.SetOut(stdout);
var distance = Math.Abs(genes.Sum() - 1023);
var fraction = distance > 0 ? 1.0 / distance : distance;
count += Math.Round(fraction, 4);
return(count);
}
void FnDisplay(Chromosome <int, double> chromosome) => Console.WriteLine("{0}\t{1}",
string.Join(", ", chromosome.Genes), chromosome.Fitness);
var initial = new List <int> {
512, 256, 128, 64, 32, 16, 8, 4, 2, 1
};
Console.WriteLine("initial: {0} {1}", initial, FnGetFitness(initial));
var optimalFitness = 10 * maxSeconds;
var unused = Genetic <int, double> .GetBest(FnGetFitness, length, optimalFitness, geneSet, FnDisplay, null,
null, null, 1, null, 600);
}
private static bool ApproximatePi(IReadOnlyCollection <int> bitValues, int?maxSeconds = null)
{
var geneSet = new[] { false, true };
var watch = Stopwatch.StartNew();
void FnDispaly(Chromosome <bool, double> candidate) =>
Display(candidate, watch, bitValues);
double FnGetFitness(IReadOnlyList <bool> genes) =>
GetFitness(genes, bitValues);
var optimalFitness = Math.Round(355.0 / 113.0, 5); // = 3.14159;
void FnMutate(List <bool> genes) =>
Mutate(genes);
var length = 2 * bitValues.Count;
var best = Genetic <bool, double> .GetBest(FnGetFitness, length, optimalFitness, geneSet, FnDispaly, FnMutate,
null, 250, 1, null, maxSeconds);
return(optimalFitness <= best.Fitness);
}
