object
noisynsga2
Type Members
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case class
Genome(values: Array[Double], operator: Maybe[Int]) extends Product with Serializable
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case class
Individual(genome: Genome, historyAge: Long, fitnessHistory: Array[Array[Double]], age: Long) extends Product with Serializable
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case class
NoisyNSGA2(mu: Int, lambda: Int, fitness: (Random, Vector[Double]) ⇒ Vector[Double], aggregation: (Vector[Vector[Double]]) ⇒ Vector[Double], genomeSize: Int, historySize: Int = 100, cloneProbability: Double = 0.2, operatorExploration: Double = 0.1) extends Product with Serializable
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case class
OpenMOLE(mu: Int, operatorExploration: Double, genomeSize: Int, historySize: Int, cloneProbability: Double, aggregation: (Vector[Vector[Double]]) ⇒ Vector[Double]) extends Product with Serializable
Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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object
Genome extends Serializable
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object
Individual extends Serializable
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object
NoisyNSGA2 extends Serializable
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object
OpenMOLE extends Serializable
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def
aggregate(population: Vector[Individual], aggregation: (Vector[Vector[Double]]) ⇒ Vector[Double], scaling: (Vector[Double]) ⇒ Vector[Double]): Vector[(Vector[Double], Vector[Double])]
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final
def
asInstanceOf[T0]: T0
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def
breeding(lambda: Int, operatorExploration: Double, cloneProbability: Double, aggregation: (Vector[Vector[Double]]) ⇒ Vector[Double]): Breeding[[β]IndexedStateT[IO, mgo.EvolutionData[Unit], mgo.EvolutionData[Unit], β], Individual, Genome]
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def
buildGenome(values: Vector[Double], operator: Maybe[Int]): Genome
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def
buildIndividual(g: Genome, f: Vector[Double]): Individual
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def
clone(): AnyRef
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def
elitism(mu: Int, historySize: Int, aggregation: (Vector[Vector[Double]]) ⇒ Vector[Double]): Elitism[[β]IndexedStateT[IO, mgo.EvolutionData[Unit], mgo.EvolutionData[Unit], β], Individual]
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
expression(fitness: (Random, Vector[Double]) ⇒ Vector[Double]): Expression[(Random, Genome), Individual]
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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def
initialGenomes(lambda: Int, genomeSize: Int): mgo.EvolutionState[Unit, Vector[Genome]]
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final
def
isInstanceOf[T0]: Boolean
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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def
oldest(population: Vector[Individual]): Vector[Individual]
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def
result(population: Vector[Individual], aggregation: (Vector[Vector[Double]]) ⇒ Vector[Double], scaling: (Vector[Double]) ⇒ Vector[Double]): Vector[(Vector[Double], Vector[Double])]
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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def
vectorFitness: PLens[Individual, Individual, Vector[Vector[Double]], Vector[Vector[Double]]]
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def
vectorValues: PLens[Genome, Genome, Vector[Double], Vector[Double]]
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
Inherited from AnyRef
Inherited from Any
