• DocumentCode
    478567
  • Title

    Immune Population Network Algorithm and Its Application in Fault Diagnosis

  • Author

    Hao, Wei ; Hao, Jiangong

  • Author_Institution
    Coll. of Comput. Sci., Taiyuan Univ. of Technol., Taiyuan
  • Volume
    6
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    658
  • Lastpage
    661
  • Abstract
    Based on the biological immune system, the authors propose a new immune population network algorithm which combines population immune algorithm and network immune algorithm in this paper. This algorithm could execute multi-point parallel search from local to global searching field, increasing the diversity of antigen population and the ability of searching maximum. At last, we apply this algorithm to the fault diagnosis system and simulation results indicate that the algorithm could recognize the fault correctly.
  • Keywords
    artificial immune systems; fault diagnosis; parallel algorithms; search problems; antigen population; biological immune system; fault diagnosis system; global searching field; immune population network; local searching field; multipoint parallel search; network immune algorithm; population immune algorithm; Application software; Artificial immune systems; Artificial neural networks; Biology computing; Cells (biology); Computer networks; Fault diagnosis; Immune system; Mathematical model; Mathematics; artificial immune system; fault diagnosis; immune network algorithm; immune population algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.117
  • Filename
    4667917