• DocumentCode
    677788
  • Title

    Usage of Frequently Used Node in Variable Size Genetic Network Programming

  • Author

    Bing Li ; Shanqing Yu ; Hirasawa, K.

  • Author_Institution
    Grad. Sch. of Inf. Production & Syst., Waseda Univ., Kitakyushu, Japan
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    174
  • Lastpage
    179
  • Abstract
    This paper describes a kind of replacement mechanism which improves the generalization ability of Variable Size Genetic Network Programming (GNPvs). GNPvs is an extension of Genetic Network Programming (GNP), which has changeable number of nodes. Inspired by the theory of Evolution by Gene Duplication, the non-frequently used nodes are replaced with the frequently used nodes in the proposed method, which can make the individual survive under the selection pressure as usual, but eventually might accumulate mutations that produce new features of individuals for adapting new environments. The effectiveness of the proposed method is verified by comparing with the performance of GNPvs and GNP on a well-known dynamic multi-agent test bed - Tile world.
  • Keywords
    genetic algorithms; multi-agent systems; network theory (graphs); GNPvs; Tileworld; evolution theory; frequently used node; gene duplication; generalization ability; multiagent test bed; replacement mechanism; selection pressure; variable size genetic network programming; Economic indicators; Educational institutions; Genetic programming; Programming; Tiles; Training; Generalization; Genetic Network Programming; Tile-world; Variable size;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.37
  • Filename
    6721790