de.sciss

muta

package muta

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  1. trait Breeding[Chromosome, Global] extends (Vec[(Chromosome, Double, Boolean)], Global, Random) ⇒ Vec[Chromosome]

    The breeding algorithm is given the current genome (selected and unselected chromosomes), along with their fitness values and selection flag (true meaning a chromosome was selected by the selection algorithm).

  2. trait BreedingFunction[Chromosome, Global] extends (Vec[Chromosome], Int, Global, Random) ⇒ Vec[Chromosome]

    The function is passed the genome selection, the target number of chromosomes to produce, the global settings and a random-number-generator.

  3. trait Evaluation[Chromosome, Global] extends (Chromosome, Global) ⇒ Double

  4. trait Generation[Chromosome, Global] extends (Random) ⇒ Chromosome

  5. case class HeaderInfo(title: String = "Title", subtitle: String = "Sub title", iterations: Int = 0) extends Product with Serializable

  6. trait Selection[Chromosome] extends (Vec[(Chromosome, Double)], Random) ⇒ Vec[Chromosome]

  7. case class SelectionNumber(value: Int = 10) extends SelectionSize with Product with Serializable

    Selects an absolute number of individuals

  8. case class SelectionPercent(value: Int = 20) extends SelectionSize with Product with Serializable

    Selects the number of individuals corresponding to a given percentage of the total population.

  9. sealed trait SelectionSize extends (Int) ⇒ Int

  10. trait Settings extends AnyRef

  11. trait System extends AnyRef

  12. type Vec[+A] = IndexedSeq[A]

Value Members

  1. object SelectionPercent extends Serializable

  2. object SelectionSize

  3. object Settings

  4. object SettingsIO

  5. val Vec: IndexedSeq.type

  6. package gui

  7. package impl

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