trait
NonDominatedElitism extends Elitism with Mu with Ranking with Diversity
Type Members
-
abstract
type
A
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abstract
type
F
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abstract
type
G
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abstract
type
P
Abstract Value Members
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abstract
def
archive(a: A, oldIndividuals: Population[G, P, F], offspring: Population[G, P, F])(implicit rng: Random): A
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abstract
def
diversity(values: Population[G, P, F])(implicit rng: Random): Seq[Lazy[Double]]
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abstract
def
initialArchive(implicit rng: Random): A
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abstract
def
mu: Int
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abstract
def
rank(values: Population[G, P, F]): Seq[Lazy[Int]]
Concrete 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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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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def
computeElitism(oldGeneration: Population[G, P, F], offspring: Population[G, P, F], archive: A)(implicit rng: Random): Population[G, P, F]
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def
elitism(oldGeneration: Population[G, P, F], offspring: Population[G, P, F], archive: A)(implicit rng: Random): Population[G, P, F]
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final
def
eq(arg0: AnyRef): Boolean
-
def
equals(arg0: Any): Boolean
-
-
def
finalize(): Unit
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def
genomesEqualOn(g: G): Any
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final
def
getClass(): Class[_]
-
def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
-
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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final
def
synchronized[T0](arg0: ⇒ T0): T0
-
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
Reduce the size of the population according to a diversity metric and a rank