object NoisyOSE
- Companion
- class
Type members
Classlikes
case
class Result[P](continuous: Vector[Double], discrete: Vector[Int], fitness: Vector[Double], replications: Int, individual: Individual[P])
Value members
Concrete methods
def adaptiveBreeding[P : Manifest](lambda: Int, operatorExploration: Double, cloneProbability: Double, aggregation: Vector[P] => Vector[Double], discrete: Vector[D], origin: (Vector[Double], Vector[Int]) => Vector[Int], limit: Vector[Double], reject: Option[Genome => Boolean]): (OSEState[P], Individual[P]) => Genome
def elitism[P : Manifest](mu: Int, historySize: Int, aggregation: Vector[P] => Vector[Double], components: Vector[C], origin: (Vector[Double], Vector[Int]) => Vector[Int], limit: Vector[Double]): OSEState[P] => Individual[P]
def expression[P : Manifest](fitness: (Random, Vector[Double], Vector[Int]) => P, continuous: Vector[C]): (Random, Genome) => Individual[P]
def initialGenomes(lambda: Int, continuous: Vector[C], discrete: Vector[D], reject: Option[Genome => Boolean], rng: Random): Vector[Genome]
def result[P : Manifest](state: OSEState[P], population: Vector[Individual[P]], aggregation: Vector[P] => Vector[Double], continuous: Vector[C], limit: Vector[Double], keepAll: Boolean): Vector[Result[P]]
def result[P : Manifest](noisyOSE: NoisyOSE[P], state: OSEState[P], population: Vector[Individual[P]]): Vector[Result[P]]