Limits to Expression in Genetic Programming: Lattice-Aggregate Modeling

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

@InProceedings{daida:2002:lteigplm,
  author =       "Jason M. Daida",
  title =        "Limits to Expression in Genetic Programming:
                 Lattice-Aggregate Modeling",
  booktitle =    "Proceedings of the 2002 Congress on Evolutionary
                 Computation CEC2002",
  editor =       "David B. Fogel and Mohamed A. El-Sharkawi and 
                 Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and 
                 Mark Shackleton",
  pages =        "273--278",
  year =         "2002",
  publisher =    "IEEE Press",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  organisation = "IEEE Neural Network Council (NNC), Institution of
                 Electrical Engineers (IEE), Evolutionary Programming
                 Society (EPS)",
  ISBN =         "0-7803-7278-6",
  month =        "12-17 " # may,
  notes =        "CEC 2002 - A joint meeting of the IEEE, the
                 Evolutionary Programming Society, and the IEE. Held in
                 connection with the World Congress on Computational
                 Intelligence (WCCI 2002)",
  keywords =     "genetic algorithms, genetic programming, GP search
                 space, ballistic accretion, expression limits,
                 four-region partition, genetic programming,
                 lattice-aggregate modelling, shape evolution, size
                 evolution, theoretical model, evolutionary computation,
                 search problems",
  URL =          "http://sitemaker.umich.edu/daida/files/CEC7272.pdf",
  DOI =          "doi:10.1109/CEC.2002.1006246",
  abstract =     "This paper describes a general theoretical model of
                 size and shape evolution in genetic programming. The
                 proposed model incorporates a mechanism that is
                 analogous to ballistic accretion in physics. The model
                 indicates a four-region partition of GP search space.
                 It further suggests that two of these regions are not
                 searchable by GP.",
}

Genetic Programming entries for Jason M Daida

Citations