Empirical Analysis of GP Tree-Fragments

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{eurogp07:smart,
  author =       "Will Smart and Peter Andreae and Mengjie Zhang",
  title =        "Empirical Analysis of GP Tree-Fragments",
  editor =       "Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and 
                 Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar",
  booktitle =    "Proceedings of the 10th European Conference on Genetic
                 Programming",
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "4445",
  year =         "2007",
  address =      "Valencia, Spain",
  month =        "11-13 " # apr,
  pages =        "55--67",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-71602-5",
  isbn13 =       "978-3-540-71602-0",
  DOI =          "doi:10.1007/978-3-540-71605-1_6",
  abstract =     "Researchers have attempted to explain the power of
                 Genetic Programming (GP) search using various notions
                 of schema. However empirical studies of schemas have
                 been limited due to their vast numbers in typical
                 populations. This paper addresses the problem of
                 analysing schemas represented by tree-fragments. It
                 describes a new efficient way of representing the huge
                 sets of fragments in a population of GP programs and
                 presents an algorithm to find all fragments using this
                 efficient representation. Using this algorithm, the
                 paper presents an initial analysis of fragments in
                 populations of up to 300 programs, each up to seven
                 nodes deep. The analysis demonstrates a surprisingly
                 large variation in the numbers of fragments through
                 evolution and a non-monotonic rise in the most useful
                 fragments. With his method, empirical investigation of
                 the GP building block hypothesis and schema theory in
                 realistic sized GP systems becomes possible.",
  notes =        "Part of \cite{ebner:2007:GP} EuroGP'2007 held in
                 conjunction with EvoCOP2007, EvoBIO2007 and
                 EvoWorkshops2007",
}

Genetic Programming entries for Will Smart Peter Andreae Mengjie Zhang

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