• DocumentCode
    3229125
  • Title

    Improved bees algorithm for the large-scale layout optimization without performance constraints

  • Author

    Li, Huanzhe ; Liu, Kunqi ; Li, Ning

  • Author_Institution
    Dept. of Comput. Sci., Shijiazhuang Univ. of Econ., Shijiazhuang, China
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    459
  • Lastpage
    463
  • Abstract
    This paper proposes an improved bees algorithm and apply it to the large-scale layout optimization without performance constraints. Compared with the origin algorithm, the experimental results show that the performance of the improved algorithm is superior on the capability of global solution searching, this new algorithm can be used to handle the large-scale layout optimization without performance constraints problems.
  • Keywords
    optimisation; global solution searching; improved bees algorithm; large-scale layout optimization; Algorithm design and analysis; Barium; Layout; bees algorithm; evolutionary algorithms; layout optimization; performance constraints;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-6437-1
  • Type

    conf

  • DOI
    10.1109/BICTA.2010.5645169
  • Filename
    5645169
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3229125