• DocumentCode
    3561888
  • Title

    Limits to expression in genetic programming: lattice-aggregate modeling

  • Author

    Daida, Jason M.

  • Author_Institution
    Artificial Intelligence Lab., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    1
  • fYear
    2002
  • Firstpage
    273
  • Lastpage
    278
  • 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
  • Keywords
    evolutionary computation; search problems; GP search space; ballistic accretion; expression limits; four-region partition; genetic programming; lattice-aggregate modeling; shape evolution; size evolution; theoretical model; Artificial intelligence; Context modeling; Genetic programming; Heart; Laboratories; Lattices; Mathematical model; Physics; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1006246
  • Filename
    1006246