The Donut Problem: Scalability and Generalization in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Walter Alden Tackett and Aviram Carmi",
  institution =  "HMSC",
  title =        "The Donut Problem: Scalability and Generalization in
                 Genetic Programming",
  booktitle =    "Advances in Genetic Programming",
  publisher =    "MIT Press",
  editor =       "Kenneth E. {Kinnear, Jr.}",
  year =         "1994",
  pages =        "143--176",
  chapter =      "7",
  URL =          "",
  URL =          "",
  keywords =     "genetic algorithms, genetic programming, Doughnut
  abstract =     "The Donut problem requires separating two toroidal
                 distributions (classes) which are interlocked like
                 links in a chain. The cross-section of each
                 distribution is Gaussian distributed with standard
                 deviation sigma. This problem possesses a variety of
                 pathological traits: the mean of each distribution, for
                 example, lies in the densest point of the other.",
  size =         "34 pages",
  notes =        "see also
        - Preliminary version of Avi and
                 Walter's ICGA93 paper",

Genetic Programming entries for Walter Alden Tackett Aviram Carmi