Improved evolvability in genetic programming with polyandry

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  title =        "Improved evolvability in genetic programming with
  author =       "Anisa W. Ragalo and Nelishia Pillay",
  journal =      "South African Computer Journal",
  year =         "2013",
  volume =       "51",
  pages =        "22--43",
  month =        dec,
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "2313-7835",
  bibdate =      "2014-09-14",
  bibsource =    "DBLP,
  URL =          "",
  URL =          "",
  URL =          "",
  URL =          "",
  size =         "22 pages",
  abstract =     "This paper proposes Polyandry, a new nature-inspired
                 modification to canonical Genetic Programming (GP).
                 Polyandry aims to improve evolvability in GP.
                 Evolvability is a critically important GP trait, the
                 maintenance of which determines the arrival of the GP
                 at the global optimum solution. Specifically
                 evolvability is defined as the ability of the genetic
                 operators employed in GP to produce offspring that are
                 fitter than their parents. When GP fails to exhibit
                 evolvability, further adaptation of the GP individuals
                 towards the global optimum solution becomes
  notes =        "University of KwaZulu-Natal",

Genetic Programming entries for Anisa Waganda Ragalo Nelishia Pillay