UniformCrossover

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

The entire genome with potentially additional information

abstract def genomeSize: Int

Size of the value part of the genome

abstract def randomGenome(implicit rng: Random): G

abstract def values: SimpleLens[G, Seq[Double]]

The value part of the genome actually used for the optimisation

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

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

Crossover g1 and g2

def crossoverRate: Double

Average rate of exchange between the 2 genomes

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

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