public void MutationDistributionDoesNotDepartFromNormalDistributionInLogSpace()
{
// Build up unbounded domain.
var domain = new LogDomain(1.0 / double.MaxValue, double.MaxValue);
// Fix the value to mutate and the variance percentage.
Allele <double> valueToMutate = new Allele <double>(3.4);
double variancePercentage = 0.000001;
// Collect results in log space for a lot of mutations.
int numberRuns = 1000;
double[] mutationsInLogSpace = new double[numberRuns];
for (int i = 0; i < numberRuns; i++)
{
mutationsInLogSpace[i] = Math.Log((double)domain.MutateGeneValue(valueToMutate, variancePercentage).GetValue());
}
// Apply the Kolmogorov-Smirnov test.
double stdDev = Math.Sqrt(variancePercentage * (Math.Log(domain.Maximum) - Math.Log(domain.Minimum)));
KolmogorovSmirnovTest normalityTest = new KolmogorovSmirnovTest(
sample: mutationsInLogSpace,
hypothesizedDistribution: new NormalDistribution(mean: Math.Log(valueToMutate.GetValue()), stdDev: stdDev));
Assert.False(
double.IsNaN(normalityTest.PValue) || normalityTest.Significant,
$"Mutation was found to be not normal by the Kolmogorov-Smirnov test with significance level of {normalityTest.Size}.");
}
public void MutationStaysInDomain()
{
// Initialize bounded domain.
var domain = new LogDomain(LogDomainTest.minimum, LogDomainTest.maximum);
// Fix the value to mutate and the variance percentage.
Allele <double> valueToMutate = new Allele <double>(LogDomainTest.maximum - 1);
double variancePercentage = 1.0;
// For a lot of tries:
int numberRuns = 1000;
for (int i = 0; i < numberRuns; i++)
{
// Mutate and check that the mutated value is in the domain.
IAllele mutatedGeneValue = domain.MutateGeneValue(valueToMutate, variancePercentage);
Assert.True(
domain.ContainsGeneValue(mutatedGeneValue),
$"Value {mutatedGeneValue} was generated by mutation and is not contained in {domain}");
}
}
