• DocumentCode
    3285537
  • Title

    Solving the even-n-parity problems using Best SubTree Genetic Programming

  • Author

    Muntean, Oana ; Diosan, L. ; Oltean, Mihai

  • Author_Institution
    Babes-Bolyai Univ., Cluj-Napoca
  • fYear
    2007
  • fDate
    5-8 Aug. 2007
  • Firstpage
    511
  • Lastpage
    518
  • Abstract
    Best subtree genetic programming (BSTGP) is a special genetic programming (GP) variant whose aim is to offer more possibilities, for selecting the solution, compared to standard GP. In the case of BSTGP the best subtree is chosen for proving the solution. This is different from standard GP where the solution was given by the entire tree. In this paper we apply BSTGP for designing digital circuits for the even-n-parity problem. Numerical results show that BSTGP can improve GP search in terms of success rate and computational effort.
  • Keywords
    digital circuits; genetic algorithms; logic design; trees (mathematics); digital circuit design; even-n-parity problem; subtree genetic programming; Adaptive systems; Biological cells; Boolean functions; Computer science; Digital circuits; Genetic programming; Humans; Mathematics; NASA; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Adaptive Hardware and Systems, 2007. AHS 2007. Second NASA/ESA Conference on
  • Conference_Location
    Edinburgh
  • Print_ISBN
    978-0-7695-2866-3
  • Type

    conf

  • DOI
    10.1109/AHS.2007.99
  • Filename
    4291961