GAGenomeWithSigma

abstract def clamp(values: Lens[G, Seq[Double]]): Lens[G, Seq[Double]]

abstract def genomeSize: Int

Size of the value part of the genome

final def !=(arg0: Any): Boolean

final def ##(): Int

def +(other: String): String

def ->[B](y: B): (GAGenomeWithSigma, B)

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def ensuring(cond: (GAGenomeWithSigma) ⇒ Boolean, msg: ⇒ Any): GAGenomeWithSigma

def ensuring(cond: (GAGenomeWithSigma) ⇒ Boolean): GAGenomeWithSigma

def ensuring(cond: Boolean, msg: ⇒ Any): GAGenomeWithSigma

def ensuring(cond: Boolean): GAGenomeWithSigma

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def formatted(fmtstr: String): String

def fromCrossover: Lens[G, Option[Int]]

def fromMutation: Lens[G, Option[Int]]

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

def randomGenome(implicit rng: Random): Genome

def rawValues: Lens[G, Seq[Double]]

def sigma: Lens[G, Seq[Double]]

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

def toString(): String

def values: Lens[G, Seq[Double]]

The value part of the genome actually used for the optimisation

final def wait(): Unit

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

final def wait(arg0: Long): Unit

def →[B](y: B): (GAGenomeWithSigma, B)