fr.iscpif.mgo.modifier

IndividualDiversityModifier

trait IndividualDiversityModifier extends RankDiversityModifier with IndividualDistance with MG

Decorate the inidividual with a rank and a diversity. The rank is evaluated on the fitness with an additionnal objective of genomic diversity 1 / crowding distance of the genome.

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Inherited
  1. IndividualDiversityModifier
  2. IndividualDistance
  3. RankDiversityModifier
  4. ModifiedFitness
  5. MG
  6. DiversityMetric
  7. Ranking
  8. Modifier
  9. A
  10. IndividualFilter
  11. MF
  12. F
  13. P
  14. G
  15. AnyRef
  16. Any
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Type Members

  1. abstract type A

    Definition Classes
    A
  2. abstract type F

    Definition Classes
    F
  3. abstract type G

    Definition Classes
    G
  4. type MF = RankDiversity

    the type of the meta-fitness

    the type of the meta-fitness

    Definition Classes
    RankDiversityModifierMF
  5. abstract type P

    Definition Classes
    P

Abstract Value Members

  1. abstract def diversity(values: Seq[Seq[Double]]): 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
    DiversityMetric
  2. abstract def fitness: SimpleLens[F, Seq[Double]]

    Definition Classes
    MG
  3. abstract def individualDistance(g: Seq[Individual[G, P, F]]): Seq[Lazy[Double]]

    Definition Classes
    IndividualDistance
  4. abstract def rank(values: Seq[Seq[Double]]): Seq[Lazy[Int]]

    Compute the rank of a set of individuals.

    Compute the rank of a set of individuals.

    values

    the values to rank

    returns

    the ranks of the individuals in the same order

    Definition Classes
    Ranking

Concrete 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: SimpleLens[RankDiversity, Lazy[Double]]

    Definition Classes
    RankDiversityModifier
  7. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  8. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  9. def filter(individuals: Seq[Individual[G, P, F]]): Seq[Individual[G, P, F]]

    Filter the individuals

    Filter the individuals

    individuals

    the set of evaluated individuals

    returns

    the filtrated individuals

    Definition Classes
    IndividualFilter
  10. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. def fitnesses(evaluated: Seq[Individual[G, P, F]], archive: A): Seq[Seq[Double]]

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

    Definition Classes
    AnyRef → Any
  13. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  15. def modify(evaluated: Seq[Individual[G, P, F]], archive: A): Population[G, P, F, MF]

    Generate a population from a set of indiviuals

    Generate a population from a set of indiviuals

    returns

    the population with the meta-fitness for each individual

    Definition Classes
    RankDiversityModifierModifier
  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. def rank: SimpleLens[RankDiversity, Lazy[Int]]

    Definition Classes
    RankDiversityModifier
  20. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  21. def toPopulation(individuals: Seq[Individual[G, P, F]], a: A): Population[G, P, F, MF]

    Generate a population from a set of indiviuals that is filtered in a first time

    Generate a population from a set of indiviuals that is filtered in a first time

    individuals

    a set of individual

    returns

    the filtred population with the meta-fitness for each individual

    Definition Classes
    Modifier
  22. def toString(): String

    Definition Classes
    AnyRef → Any
  23. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from RankDiversityModifier

Inherited from ModifiedFitness

Inherited from fitness.MG

Inherited from diversity.DiversityMetric

Inherited from ranking.Ranking

Inherited from Modifier

Inherited from archive.A

Inherited from IndividualFilter

Inherited from modifier.MF

Inherited from fitness.F

Inherited from phenotype.P

Inherited from genome.G

Inherited from AnyRef

Inherited from Any

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