fr.iscpif.mgo.diversity

FitnessCrowdingDiversity

trait FitnessCrowdingDiversity extends Diversity with MGFitness

Crowding distance, see Deb, K., Agrawal, S., Pratap, A. & Meyarivan, T. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. Lecture notes in computer science 1917, 849–858 (2000).

Linear Supertypes
fitness.MGFitness, fitness.MG, Diversity, fitness.F, phenotype.P, genome.G, AnyRef, Any
Known Subclasses
CrowdingStabilityTermination, NSGAII
Ordering
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Inherited
  1. FitnessCrowdingDiversity
  2. MGFitness
  3. MG
  4. Diversity
  5. F
  6. P
  7. G
  8. AnyRef
  9. Any
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  1. Public
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Type Members

  1. type F = Seq[Double]

    Definition Classes
    MGFitness → F

  2. abstract type G

    Definition Classes
    G

  3. abstract type P

    Definition Classes
    P

Value Members

  1. final def !=(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  5. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  6. def diversity(values: Population[G, P, F])(implicit rng: Random): Seq[Lazy[Double]]

    Compute the diversity metric of the values

    Compute the diversity metric of the values

    values

    a set of values

    returns

    a diversity sequence in the diversity of the individual i at the position i

    Definition Classes
    FitnessCrowdingDiversity → Diversity

  7. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  8. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  9. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  10. def fitness(f: F): F

    Definition Classes
    MGFitness → MG

  11. def fitness(individual: Individual[G, P, F]): Seq[Double]

    Definition Classes
    MG

  12. def genomesEqualOn(g: G): Any

    Definition Classes
    G

  13. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any

  14. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  15. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  16. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  17. final def notify(): Unit

    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  19. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef

  20. def toString(): String

    Definition Classes
    AnyRef → Any

  21. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  22. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  23. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from fitness.MGFitness

Inherited from fitness.MG

Inherited from Diversity

Inherited from fitness.F

Inherited from phenotype.P

Inherited from genome.G

Inherited from AnyRef

Inherited from Any

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