object NoisyOSEOperations
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- def adaptiveBreeding[S, I, G, P](history: (I) => Vector[P], aggregation: (Vector[P]) => Vector[Double], genome: (I) => G, continuousValues: (G) => Vector[Double], continuousOperator: (G) => Option[Int], discreteValues: (G) => Vector[Int], discreteOperator: (G) => Option[Int], discrete: Vector[D], buildGenome: (Vector[Double], Option[Int], Vector[Int], Option[Int]) => G, tournamentRounds: (Int) => Int, lambda: Int, reject: Option[(G) => Boolean], operatorExploration: Double, cloneProbability: Double, origin: (Vector[Double], Vector[Int]) => Vector[Int], limit: Vector[Double], archive: (S) => Archive[I], reachMap: (S) => ReachMap): Breeding[S, I, G]
- def aggregated[I, P](fitness: (I) => Vector[P], aggregation: (Vector[P]) => Vector[Double])(i: I): Vector[Double]
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- def elitism[S, I, P](history: (I) => Vector[P], aggregation: (Vector[P]) => Vector[Double], values: (I) => (Vector[Double], Vector[Int]), origin: (Vector[Double], Vector[Int]) => Vector[Int], limit: Vector[Double], historySize: Int, mergeHistories: (Vector[I], Vector[I]) => Vector[I], mu: Int, archive: Lens[S, Archive[I]], reachMap: Lens[S, ReachMap])(implicit arg0: ClassTag[I]): Elitism[S, I]
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- def promisingReachMap[I](fitness: (I) => Vector[Double], limit: Vector[Double], origin: (I) => Vector[Int], population: Vector[I]): Set[Vector[Int]]
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