The effects of size and depth limits on tree based genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4128

@InCollection{crane:2005:GPTP,
  author =       "Ellery Fussell Crane and Nicholas Freitag McPhee",
  title =        "The effects of size and depth limits on tree based
                 genetic programming",
  booktitle =    "Genetic Programming Theory and Practice {III}",
  year =         "2005",
  editor =       "Tina Yu and Rick L. Riolo and Bill Worzel",
  volume =       "9",
  series =       "Genetic Programming",
  chapter =      "15",
  pages =        "223--240",
  address =      "Ann Arbor",
  month =        "12-14 " # may,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, Size limits,
                 Depth limits, Population distributions, Tree Shape,
                 bloat",
  ISBN =         "0-387-28110-X",
  DOI =          "doi:10.1007/0-387-28111-8_15",
  size =         "18 pages",
  abstract =     "Bloat is a common and well studied problem in genetic
                 programming. Size and depth limits are often used to
                 combat bloat, but to date there has been little
                 detailed exploration of the effects and biases of such
                 limits. In this paper we present empirical analysis of
                 the effects of size and depth limits on binary tree
                 genetic programs. We find that size limits control
                 population average size in much the same way as depth
                 limits do. Our data suggests, however that size limits
                 provide finer and more reliable control than depth
                 limits, which has less of an impact upon tree shapes.",
  notes =        "part of \cite{yu:2005:GPTP} Published Jan 2006 after
                 the workshop",
}

Genetic Programming entries for Ellery Fussell Crane Nicholas Freitag McPhee

Citations