public static void Main()
{
var engine = Engine.Engine
.Builder(
Fitness,
Codecs.OfScalar(DoubleRange.Of(0.0, 2.0 * Math.PI)))
.PopulationSize(500)
.Optimize(Optimize.Minimum)
.Alterers(
new Mutator <DoubleGene, double>(0.03),
new MeanAlterer <DoubleGene, double>(0.6))
.Build();
var
statistics = EvolutionStatistics.OfNumber <double>();
var best = engine.Stream()
.TakeWhile(BySteadyFitness <DoubleGene, double>(7))
.Take(100)
.Peek(statistics.Accept)
.ToBestPhenotype();
Console.WriteLine(statistics);
Console.WriteLine(best);
}
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()
{
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 static void Main()
{
var knapsack = Of(15, new Random(123));
var engine = Engine.Engine.Builder(knapsack)
.PopulationSize(500)
.SurvivorsSelector(new TournamentSelector <BitGene, double>(5))
.OffspringSelector(new RouletteWheelSelector <BitGene, double>())
.Alterers(
new Mutator <BitGene, double>(0.115),
new SinglePointCrossover <BitGene, double>(0.16))
.Build();
var statistics = EvolutionStatistics.OfNumber <double>();
var best = engine.Stream()
.TakeWhile(BySteadyFitness <BitGene, double>(7))
.Take(100)
.Peek(statistics.Accept)
.ToBestPhenotype();
Console.WriteLine(statistics);
Console.WriteLine(best);
}
public static void Main()
{
var engine = Engine.Engine
.Builder(Dist, Codecs.OfPermutation(Stops))
.Optimize(Optimize.Minimum)
.MaximalPhenotypeAge(11)
.PopulationSize(500)
.Alterers(
new SwapMutator <EnumGene <int>, double>(0.2),
new PartiallyMatchedCrossover <int, double>(0.35)
)
.Build();
var statistics = EvolutionStatistics.OfNumber <double>();
var best = engine.Stream()
.TakeWhile(BySteadyFitness <EnumGene <int>, double>(15))
.Take(250)
.Peek(statistics.Accept)
.ToBestPhenotype();
Console.WriteLine(statistics);
Console.WriteLine(best);
}
