NoisyNSGA2

object NoisyNSGA2
Companion
class
trait Product
trait Mirror
class Object
trait Matchable
class Any

Type members

Classlikes

case
class Result[P](continuous: Vector[Double], discrete: Vector[Int], fitness: Vector[Double], replications: Int, individual: Individual[P])

Types

Inherited types

type MirroredElemLabels <: Tuple

The names of the product elements

The names of the product elements

Inherited from
Mirror
type MirroredLabel <: String

The name of the type

The name of the type

Inherited from
Mirror

Value members

Concrete methods

def adaptiveBreeding[S, P : Manifest](lambda: Int, operatorExploration: Double, cloneProbability: Double, aggregation: Vector[P] => Vector[Double], discrete: Vector[D], reject: Option[Genome => Boolean]): (S, Individual[P]) => Genome
def elitism[S, P : Manifest](mu: Int, historySize: Int, aggregation: Vector[P] => Vector[Double], components: Vector[C]): S => Individual[P]
def expression[P : Manifest](phenotype: (Random, Vector[Double], Vector[Int]) => P, continuous: Vector[C]): (Random, Genome) => Individual[P]
def fitness[P : Manifest](aggregation: Vector[P] => Vector[Double]): Individual[P] => Vector[Double]
def initialGenomes(lambda: Int, continuous: Vector[C], discrete: Vector[D], reject: Option[Genome => Boolean], rng: Random): Vector[Genome]
def reject[P](pse: NoisyNSGA2[P]): Option[Genome => Boolean]
def result[P : Manifest](population: Vector[Individual[P]], aggregation: Vector[P] => Vector[Double], continuous: Vector[C], keepAll: Boolean): Vector[Result[P]]
def result[P : Manifest](nsga2: NoisyNSGA2[P], population: Vector[Individual[P]]): Vector[Result[P]]

Implicits

Implicits

implicit