public void Crossover()
{
var pmco = new PartiallyMatchedCrossover <int, double>(1);
const int length = 1000;
var alleles = MutableSeq.OfLength <int>(length).Fill(Factories.Int());
var ialleles = alleles.ToImmutableSeq();
var that = alleles.Select(i => new EnumGene <int>(i, ialleles)).ToMutableSeq();
var other = alleles.Select(i => new EnumGene <int>(i, ialleles)).ToMutableSeq();
that.Shuffle();
other.Shuffle();
var thatChrom1 = new PermutationChromosome <int>(that.ToImmutableSeq());
Assert.True(thatChrom1.IsValid, "thatChrom1 not valid");
var otherChrom1 = new PermutationChromosome <int>(other.ToImmutableSeq());
Assert.True(otherChrom1.IsValid, "otherChrom1 not valid");
pmco.Crossover(that, other);
var thatChrom2 = new PermutationChromosome <int>(that.ToImmutableSeq());
Assert.True(thatChrom2.IsValid, "thatChrom2 not valid: " + thatChrom2.ToImmutableSeq());
var otherChrom2 = new PermutationChromosome <int>(other.ToImmutableSeq());
Assert.True(otherChrom2.IsValid, "otherChrom2 not valid: " + otherChrom2.ToImmutableSeq());
Assert.False(thatChrom1.Equals(thatChrom2), "That chromosome must not be equal");
Assert.False(otherChrom1.Equals(otherChrom2), "That chromosome must not be equal");
}
public virtual void AlterProbability(int ngenes, int nchromosomes, int npopulation, double p)
{
var population = TestUtils.NewPermutationDoubleGenePopulation(
ngenes, nchromosomes, npopulation
);
// The mutator to test.
var crossover = new PartiallyMatchedCrossover <double, double>(p);
long nallgenes = ngenes * nchromosomes * npopulation;
long N = 100;
var mean = crossover.Order * npopulation * p;
const long min = 0;
var max = nallgenes;
var domain = new Range <long>(min, max);
var histogram = Histogram.OfLong(min, max, 10);
var variance = new LongMomentStatistics();
for (var i = 0; i < N; ++i)
{
long alterations = crossover.Alter(population, 1);
histogram.Accept(alterations);
variance.Accept(alterations);
}
// Normal distribution as approximation for binomial distribution.
// TODO: Implement test
// assertDistribution(
// histogram,
// new NormalDistribution<>(domain, mean, variance.getVariance())
// );
}
public void CrossoverWithIllegalChromosome()
{
var pmco = new PartiallyMatchedCrossover <int, double>(1);
const int length = 1000;
var alleles = MutableSeq.OfLength <int>(length).Fill(Factories.Int());
var ialleles = alleles.ToImmutableSeq();
var that = alleles.Select(i => new EnumGene <int>(i, ialleles)).ToMutableSeq();
var other = alleles.Select(i => new EnumGene <int>(i, ialleles)).ToMutableSeq();
pmco.Crossover(that, other);
}
public void OfIntegerRangeLength()
{
var c1 = PermutationChromosome.OfInteger(IntRange.Of(0, 2000), 1000);
Assert.True(c1.IsValid);
var c2 = PermutationChromosome.OfInteger(IntRange.Of(0, 2000), 1000);
Assert.True(c2.IsValid);
var m1 = c1.ToSeq().Copy();
var m2 = c2.ToSeq().Copy();
AssertUnique(m1);
AssertUnique(m2);
var pmx = new PartiallyMatchedCrossover <int, double>(1);
pmx.Crossover(m1, m2);
AssertUnique(m1);
AssertUnique(m2);
}
