public static void Main()
{
//RandomRegistry.SetRandom(new io.jenetics.prngine.LCG64ShiftRandom.ThreadLocal());
var engine = Engine.Engine
.Builder(
Length,
PermutationChromosome.OfInteger(20))
.Optimize(Optimize.Minimum)
.PopulationSize(1000)
.OffspringFraction(0.9)
.Alterers(
new SwapMutator <EnumGene <int>, int>(0.01),
new PartiallyMatchedCrossover <int, int>(0.3))
.Build();
var statistics = EvolutionStatistics.OfNumber <int>();
var result = engine.Stream()
.TakeWhile(Limits.BySteadyFitness <EnumGene <int>, int>(100))
.Take(2500)
.Peek(statistics.Accept)
.ToBestEvolutionResult();
Console.WriteLine(statistics);
Console.WriteLine(result.GetBestPhenotype());
}
public static void Main()
{
//SubsetSum problem = Of(500, 15, new LCG64ShiftRandom(101010));
var problem = Of(500, 15, new Random());
var engine = Engine.Engine.Builder(problem)
.Minimizing()
.MaximalPhenotypeAge(5)
.Alterers(
new PartiallyMatchedCrossover <int, int>(0.4),
new Mutator <EnumGene <int>, int>(0.3))
.Build();
var result = engine.Stream()
.TakeWhile(Limits.BySteadyFitness <EnumGene <int>, int>(55))
.ToBestPhenotype();
Console.WriteLine(result);
}
public static void Main()
{
var rescue = Engine.Stream()
.TakeWhile(Limits.BySteadyFitness <DoubleGene, double>(10))
.ToBestEvolutionResult();
using (var stream = new MemoryStream())
{
IFormatter formatter = new BinaryFormatter();
formatter.Serialize(stream, rescue);
File.WriteAllBytes("result.bin", stream.ToArray());
}
using (var stream = File.OpenRead("result.bin"))
{
IFormatter formatter = new BinaryFormatter();
var result = Engine
.Stream((EvolutionResult <DoubleGene, double>)formatter.Deserialize(stream))
.TakeWhile(Limits.BySteadyFitness <DoubleGene, double>(20))
.ToBestEvolutionResult();
Console.WriteLine(result);
}
}
