• DocumentCode
    2764620
  • Title

    Advancement in Artificial Immune Systems: A perspective of models, algorithms and applications

  • Author

    Al-Enezi, J.R. ; Abbod, M.F. ; Al-Sharhan, Salah

  • Author_Institution
    Sch. of Eng. & Design, Brunel Univ., Uxbridge, UK
  • fYear
    2009
  • fDate
    17-19 March 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Artificial Immune Systems (AIS) are a branch of computational intelligence field inspired by the biological immune system. It has gained a lot of interest by researchers during the past decade aiming to develop immune-based models and techniques to solve complex computational or engineering problems. This work presents some applications of AIS techniques to health problems, i.e., cancer prediction, in addition to a thorough survey of existing AIS models and algorithms with a focus on the last five years.
  • Keywords
    artificial immune systems; cancer; artificial immune systems; biological immune system; cancer prediction; computational intelligence field; health problems; immune-based models; Algorithm design and analysis; Artificial immune systems; Classification algorithms; Detectors; Optimization; Signal processing algorithms; Artificial immune systems; artificial immune networks; clonal selection; negative selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    GCC Conference & Exhibition, 2009 5th IEEE
  • Conference_Location
    Kuwait City
  • Print_ISBN
    978-1-4244-3885-3
  • Type

    conf

  • DOI
    10.1109/IEEEGCC.2009.5734320
  • Filename
    5734320