public void StreamWithSerializedPopulation()
{
var problem = Problem.Of(
x => Math.Cos(0.5 + Math.Sin(x)) * Math.Cos(x),
Codecs.OfScalar(DoubleRange.Of(0.0, 2.0 * Math.PI))
);
var engine = Engine.Builder(problem)
.Optimize(Optimize.Minimum)
.OffspringSelector(new RouletteWheelSelector <DoubleGene, double>())
.Build();
var interimResult = engine.Stream()
.TakeWhile(Limits.BySteadyFitness <DoubleGene, double>(10))
.ToBestEvolutionResult();
using (var stream = new MemoryStream())
{
IFormatter formatter = new BinaryFormatter();
formatter.Serialize(stream, interimResult);
stream.Seek(0, SeekOrigin.Begin);
var loadedResult = (EvolutionResult <DoubleGene, double>)formatter.Deserialize(stream);
var result = engine.Stream(loadedResult)
.Take(10)
.ToBestEvolutionResult();
Assert.NotEqual(0.0, result.GetBestFitness());
}
}
public void OfDoubleScalar(DoubleRange domain)
{
var codec = Codecs.OfScalar(domain);
var gt = codec.Encoding()();
Assert.Equal(1, gt.Length);
Assert.Equal(1, gt.GetChromosome().Length);
Assert.Equal(domain.Min, gt.Gene.Min);
Assert.Equal(domain.Max, gt.Gene.Max);
var f = codec.Decoder();
Assert.Equal(gt.Gene.DoubleValue(), f(gt));
}
public void InitialResult()
{
var problem = Problem.Of(
x => Math.Cos(0.5 + Math.Sin(x)) * Math.Cos(x),
Codecs.OfScalar(DoubleRange.Of(0.0, 2.0 * Math.PI))
);
var engine = Engine.Builder(problem)
.Optimize(Optimize.Minimum)
.OffspringSelector(new RouletteWheelSelector <DoubleGene, double>())
.Build();
var interimResult = engine.Stream()
.TakeWhile(Limits.BySteadyFitness <DoubleGene, double>(10))
.ToBestEvolutionResult();
engine.Builder()
.Alterers(new Mutator <DoubleGene, double>()).Build()
.Stream(interimResult);
}
