FitnessKNearestNeighboursDiversity

abstract def fitness(f: F): Seq[Double]

abstract def k: Int

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

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

Compute the diversity metric of the values

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

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

def genomesEqualOn(g: G): Any

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit