Object

fr.iscpif.mgo.tools.metric

Hypervolume

Related Doc: package metric

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object Hypervolume

Hypervolume computation based on variant 3 of the algorithm in the paper: C. M. Fonseca, L. Paquete, and M. Lopez-Ibanez. An improved dimension-sweep algorithm for the hypervolume indicator. In IEEE Congress on Evolutionary Computation, pages 1157-1163, Vancouver, Canada, July 2006.

FIXE: The implementation is ugly, as the algorithm as directly been translated from python

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Type Members

  1. class MultiList extends AnyRef

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    A special data structure needed by FonsecaHyperVolume.

    A special data structure needed by FonsecaHyperVolume.

    It consists of several doubly linked lists that share common nodes. So, every node has multiple predecessors and successors, one in every list.

  2. class Node extends AnyRef

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  3. type ReferencePoint = Seq[Double]

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    value of the reference point for the hypervolume computation

Value Members

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

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  2. final def ##(): Int

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

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  4. def apply(front: Seq[Seq[Double]], referencePoint: ReferencePoint): Double

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    Compute the hypervolume that is dominated by a non-dominated front.

    Compute the hypervolume that is dominated by a non-dominated front. Before the HV computation, front and reference point are translated, so that the reference point is [0, ..., 0].

    front

    the parato front

    referencePoint

    point the reference point for computing the volume from this point to the front

    returns

    the hypervolume

  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  7. def contributions(front: Vector[Seq[Double]], referencePoint: Seq[Double]): Vector[Lazy[Double]]

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    Compute the hypervolume contribution for each front

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

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. def nadir(points: Seq[Seq[Double]]): Seq[Double]

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    Compute the nadir of a set of points

    Compute the nadir of a set of points

    points

    a set of points

    returns

    the nadir point

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. def preProcess(front: Seq[Seq[Double]], referencePoint: Seq[Double]): MultiList

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  19. def sortByDimension(nodes: Seq[Node], i: Int): Seq[Node]

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

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  21. def toString(): String

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  22. final def wait(): Unit

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

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

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