fr.iscpif.mgo.crossover

SBXBoundedCrossover

trait SBXBoundedCrossover extends Crossover with GA with CrossoverRate

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Inherited
  1. SBXBoundedCrossover
  2. CrossoverRate
  3. GA
  4. RandomGenome
  5. Crossover
  6. A
  7. F
  8. P
  9. G
  10. AnyRef
  11. 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. abstract type P

    Definition Classes
    P

Abstract Value Members

  1. abstract def genome: SimpleLens[G, Seq[Double]]

    The entire genome with potentially additional information

    The entire genome with potentially additional information

    Definition Classes
    GA
  2. abstract def genomeSize: Int

    Size of the value part of the genome

    Size of the value part of the genome

    Definition Classes
    GA
  3. abstract def randomGenome(implicit rng: Random): G

    Definition Classes
    GARandomGenome
  4. abstract def values: SimpleLens[G, Seq[Double]]

    The value part of the genome actually used for the optimisation

    The value part of the genome actually used for the optimisation

    Definition Classes
    GA

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 crossover(g1: G, g2: G, population: Seq[Individual[G, P, F]], archive: A)(implicit rng: Random): Seq[G]

    Crossover g1 and g2

    Crossover g1 and g2

    g1

    a genome

    g2

    another genome

    population

    last computed population

    archive

    last archive

    returns

    the result of the crossover

    Definition Classes
    SBXBoundedCrossoverCrossover
  7. def crossoverRate: Double

    crossover rate parameter of the algorithm

    crossover rate parameter of the algorithm

    Definition Classes
    CrossoverRate
  8. def distributionIndex: Double

    distribution index parameter of the algorithm

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

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

    Definition Classes
    AnyRef → Any
  11. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  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. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  16. final def notify(): Unit

    Definition Classes
    AnyRef
  17. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  18. def sbxCrossover(g1: G, g2: G)(implicit rng: Random): (G, G)

  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 CrossoverRate

Inherited from genome.GA

Inherited from RandomGenome

Inherited from Crossover

Inherited from archive.A

Inherited from fitness.F

Inherited from phenotype.P

Inherited from genome.G

Inherited from AnyRef

Inherited from Any

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