public void SelectMinimum()
{
Func <Genotype <IntegerGene>, int> Ff = delegate(Genotype <IntegerGene> gt)
{
return(gt.GetChromosome().ToSeq().Select(g => g.IntValue()).Sum());
};
Func <Genotype <IntegerGene> > Gtf = delegate()
{
return(Genotype.Of(IntegerChromosome.Of(0, 100, 10)));
};
var population = Enumerable.Range(0, 50).Select(i => Phenotype.Of(Gtf(), 50, Ff)).ToPopulation();
var selector = new StochasticUniversalSelector <IntegerGene, int>();
var selection = selector.Select(population, 50, Optimize.Minimum);
}
public void Maximize()
{
RandomRegistry.Using(new Random(), r =>
{
Func <Genotype <IntegerGene>, int> ff =
g => g.GetChromosome().GetGene().Allele;
Phenotype <IntegerGene, int> F()
{
return(Phenotype.Of(Genotype.Of(IntegerChromosome.Of(0, 100)), 1, ff));
}
var population = Enumerable.Range(0, 1000)
.Select(i => F())
.ToPopulation();
var selector =
new RouletteWheelSelector <IntegerGene, int>();
var p = selector.Probabilities(population, 100, Optimize.Maximum);
Assert.True(ProbabilitySelector.Sum2One(p), p + " != 1");
});
}