public IChromosome Clone()
{
BitChromosome cpy = new BitChromosome();
cpy.length = this.length;
cpy.bits = new Genes.BitGene[cpy.length];
for (int i = 0; i < cpy.length; ++i)
cpy.bits[i] = (Genes.BitGene)this.bits[i].Clone();
return (IChromosome)cpy;
}
public static ICodec <IImmutableSeq <T>, BitGene> OfSubSet <T>(IImmutableSeq <T> basicSet)
{
Positive(basicSet.Length);
return(Codec.Of(
() => Genotype.Of(BitChromosome.Of(basicSet.Length)),
gt => ((BitChromosome)gt.GetChromosome()).Ones().Select(i => basicSet[i]).ToImmutableSeq()
));
}
public static void Main()
{
// 1.) Define the genotype (factory) suitable
// for the problem.
Factory <Genotype <BitGene> > F = delegate()
{
return(Genotype.Of(BitChromosome.Of(10, 0.5)));
};
// 3.) Create the execution environment.
var engine = Engine.Engine.Builder(Eval, F).Build();
// 4.) Start the execution (evolution) and
// collect the result.
var result = engine.Stream().Take(100).ToBestGenotype();
Console.WriteLine("Hello World:\n" + result);
}
public static void Main()
{
var engine = Engine.Engine
.Builder(
Count,
BitChromosome.Of(20, 0.15))
.PopulationSize(500)
.Selector(new RouletteWheelSelector <BitGene, int>())
.Alterers(
new Mutator <BitGene, int>(0.55),
new SinglePointCrossover <BitGene, int>(0.06))
.Build();
var statistics = EvolutionStatistics.OfNumber <int>();
var best = engine.Stream()
.TakeWhile(BySteadyFitness <BitGene, int>(7))
.Take(100)
.Peek(statistics.Accept)
.ToBestPhenotype();
Console.WriteLine(statistics);
Console.WriteLine(best);
}
public IChromosome GetNewChromosome()
{
IChromosome ret = new BitChromosome(this.length, new Genes.BitGeneFactory());
return ret;
}
