• DocumentCode
    2850262
  • Title

    A Hybrid Optimization Method for Fuzzy Classification Systems

  • Author

    Wang, X. ; Gao, X.Z. ; Ovaska, S.J.

  • Author_Institution
    Dept. of Electr. Eng., Helsinki Univ. of Technol., Espoo
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    264
  • Lastpage
    271
  • Abstract
    This paper presents a hybrid optimization method based on the fusion of the clonal selection algorithm (CSA) and harmony search (HS) technique. The CSA is employed to improve the members of the harmony memory in the HS method. The hybrid optimization algorithm is further used to optimize a fuzzy classification system for the Fisher Iris data classification. Computer simulations results demonstrate the effectiveness of our new approach.
  • Keywords
    fuzzy set theory; optimisation; pattern classification; Fisher iris data classification; clonal selection algorithm; fuzzy classification systems; harmony memory; harmony search technique; hybrid optimization method; Clustering algorithms; Computer simulation; Design optimization; Electronic mail; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Immune system; Iris; Optimization methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems, 2008. HIS '08. Eighth International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-0-7695-3326-1
  • Electronic_ISBN
    978-0-7695-3326-1
  • Type

    conf

  • DOI
    10.1109/HIS.2008.22
  • Filename
    4626640
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2850262