Size Fair Tree Crossovers

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "W. B. Langdon",
  title =        "Size Fair Tree Crossovers",
  booktitle =    "Proceedings of the Eleventh Belgium/Netherlands
                 Conference on Artificial Intelligence (BNAIC'99)",
  year =         "1999",
  editor =       "Eric Postma and Marc Gyssen",
  pages =        "255--256",
  address =      "Kasteel Vaeshartelt, Maastricht, Holland",
  month =        "3-4 " # nov,
  organisation = "BNVKI, Dutch and the Belgian AI Association",
  keywords =     "genetic algorithms, genetic programming, bloat
                 reduction, evolution of shape, sub-quadratic length
                 growth, linear depth growth, uniform initialisation,
                 binary tree search spaces",
  URL =          "",
  size =         "2 pages",
  abstract =     "Size fair crossover genetic operator for tree based
                 genetic programming is described and tested. It
                 produces considerably reduced increases in program size
                 and no detrimental effect on GP performance. GP search
                 spaces are partitioned by the ridge in the number of
                 program v. their size and depth. A ramped uniform
                 random initialisation is described which straddles the
                 ridge. With subtree crossover trees increase about one
                 level per generation leading to sub-quadratic bloat in
  notes =        "Resumission of \cite{langdon:1999:fairxo}

Genetic Programming entries for William B Langdon