• DocumentCode
    325168
  • Title

    Chaotic evolutionary processing and its applications

  • Author

    Yamaguchi, Tom ; Kohata, Naoki ; Wakamatsu, Yoshiyuki ; Baba, Takanobu

  • Author_Institution
    Dept. of Inf. Sci., Utsunomiya Univ., Japan
  • Volume
    1
  • fYear
    1998
  • fDate
    4-9 May 1998
  • Firstpage
    183
  • Abstract
    Proposes the realization of evolutionary computation by chaotic dynamics instead of conventional genetic algorithms for such intelligent agents as welfare robots which assist humans. This evolutionary computation is realized by applying chaotic retrieval on associative memories. We apply this evolutionary computation to multi-agent robots which move abreast. Essentially, the process of this evolutionary computation is parallel processing. Therefore, we implement its parallel processing algorithm on an A-NET(Actors NETwork) parallel object-oriented computer, and show the usefulness of parallel processing for the proposed evolutionary computation
  • Keywords
    chaos; content-addressable storage; cooperative systems; genetic algorithms; mobile robots; object-oriented methods; parallel algorithms; parallel machines; A-NET parallel object-oriented computer; associative memories; chaotic dynamics; chaotic evolutionary processing; chaotic retrieval; evolutionary computation; intelligent agents; multi-agent robots; welfare robots; Associative memory; Chaos; Computer networks; Concurrent computing; Evolutionary computation; Genetic algorithms; Humans; Intelligent agent; Intelligent robots; Parallel processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1098-7584
  • Print_ISBN
    0-7803-4863-X
  • Type

    conf

  • DOI
    10.1109/FUZZY.1998.687480
  • Filename
    687480