object
GenomeVectorDouble
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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def
applyDynamicOperator[M[_]](operatorStatistics: Map[Int, Double], operatorExploration: Double)(implicit arg0: Monad[M], arg1: RandomGen[M]): Breeding[M, (Vector[Double], Vector[Double]), ((Vector[Double], Vector[Double]), Int)]
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final
def
asInstanceOf[T0]: T0
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def
clamp[M[_], G](lens: Lens[G, Vector[Double]])(implicit arg0: Monad[M]): Breeding[M, G, G]
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def
clone(): AnyRef
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def
crossovers[M[_]](implicit arg0: Monad[M], arg1: RandomGen[M]): Vector[Crossover[M, (Vector[Double], Vector[Double]), (Vector[Double], Vector[Double])]]
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def
crossoversAndMutations[M[_]](implicit arg0: Monad[M], arg1: RandomGen[M]): Vector[Kleisli[M, (Vector[Double], Vector[Double]), (Vector[Double], Vector[Double])]]
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
filterNaN[M[_], I, T](genomeValues: (I) ⇒ T)(implicit arg0: Monad[M], cbn: CanBeNaN[T]): Breeding[M, I, I]
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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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final
def
isInstanceOf[T0]: Boolean
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def
mutations[M[_]](implicit arg0: Monad[M], arg1: RandomGen[M]): Vector[Mutation[M, Vector[Double], Vector[Double]]]
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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
randomGenomes[M[_], G](cons: (Vector[Double], Maybe[Int]) ⇒ G)(mu: Int, genomeSize: Int)(implicit arg0: Monad[M], arg1: RandomGen[M]): M[Vector[G]]
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def
randomGenomes[M[_]](n: Int, genomeLength: Int)(implicit MM: Monad[M], MR: RandomGen[M]): M[Vector[Vector[Double]]]
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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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
