public void DisplayTest()
{
var range = Enumerable.Range(-5, 11).ToArray();
var geneSet =
(from n in range from d in range.Where(i => i != 0) select new Fraction(n, d))
.Distinct().OrderBy(g => g);
IReadOnlyList <Fraction> FnGenesToInputs(IReadOnlyList <Fraction> genes1) => genes1;
var genes = geneSet.OrderBy(g => Rand.Random.Next()).Take(4).ToList();
var fitness = new Fitness(new Fraction(42));
var chromosome = new Chromosome <Fraction, Fitness>(genes, fitness);
var watch = Stopwatch.StartNew();
Display(chromosome, watch, FnGenesToInputs);
}
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);
}
public void ReferenceEqualsTest()
{
var fitness = new Fitness(new Fraction(3, 2));
Assert.IsTrue(fitness.CompareTo(fitness) == 0);
}
public void ToStringTest()
{
var fitness = new Fitness(new Fraction(2, 3));
Assert.AreEqual("diff: 0.67", fitness.ToString());
}
