fr.iscpif.mgo.termination

CrowdingStabilityTermination

trait CrowdingStabilityTermination extends Termination with FitnessCrowdingDiversity with StabilityTermination

Termination creterium computed from the variation of the maximum crowding distance among the population elements. It stop when this metric stabilize.

FIXME: take into account only the last ranked individual, pb it can be empty due to the filter on the positive infinity diversity

Linear Supertypes
StabilityTermination, diversity.FitnessCrowdingDiversity, fitness.MGFitness, fitness.MG, diversity.Diversity, Termination, fitness.F, phenotype.P, genome.G, AnyRef, Any
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Inherited
  1. CrowdingStabilityTermination
  2. StabilityTermination
  3. FitnessCrowdingDiversity
  4. MGFitness
  5. MG
  6. Diversity
  7. Termination
  8. F
  9. P
  10. G
  11. AnyRef
  12. Any
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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

  4. type STATE = StabilityState

    Type of the state maintained to study the evolution of the algorithm

    Type of the state maintained to study the evolution of the algorithm

    Definition Classes
    StabilityTermination → Termination

Abstract Value Members

  1. abstract def deviationEpsilon: Double

    Deviation considered has sufficiently low to stop

    Deviation considered has sufficiently low to stop

    Definition Classes
    StabilityTermination

  2. abstract def windowSize: Int

    Size of the sliding window to evaluate the deviation

    Size of the sliding window to evaluate the deviation

    Definition Classes
    StabilityTermination

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(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. def initialState: STATE

    Compute the initial state

    Compute the initial state

    returns

    the initial state

    Definition Classes
    StabilityTermination → Termination

  16. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  18. final def notify(): Unit

    Definition Classes
    AnyRef

  19. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  20. def stability(state: StabilityState, newValue: Double): (Boolean, StabilityState)

    Definition Classes
    StabilityTermination

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

    Definition Classes
    AnyRef

  22. def terminated(population: Population[G, P, F], terminationState: STATE)(implicit rng: Random): (Boolean, STATE)

    Test if the algorithm has converged.

    Test if the algorithm has converged.

    population

    the current population

    terminationState

    the actual termination state

    returns

    a boolean which is equal to true if a terminal state has been detected and the new termination state

    Definition Classes
    CrowdingStabilityTermination → Termination

  23. def toString(): String

    Definition Classes
    AnyRef → Any

  24. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from StabilityTermination

Inherited from diversity.FitnessCrowdingDiversity

Inherited from fitness.MGFitness

Inherited from fitness.MG

Inherited from diversity.Diversity

Inherited from Termination

Inherited from fitness.F

Inherited from phenotype.P

Inherited from genome.G

Inherited from AnyRef

Inherited from Any

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