• DocumentCode
    2446539
  • Title

    A survey on bee colony algorithms

  • Author

    Bitam, Salim ; Batouche, Mohamed ; Talbi, El-Ghazali

  • Author_Institution
    Comput. Sci. Dept., Mohamed Khider Univ., Biskra, Algeria
  • fYear
    2010
  • fDate
    19-23 April 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents a survey of current research activities inspired by bee life. This work is intended to provide a broad and comprehensive view of the various principles and applications of these bio-inspired systems. We propose to classify them into two major models. The first one is based on the foraging behavior in the bee quotidian life and the second is inspired by the marriage principle. Different original studies are described and classified along with their applications, comparisons against other approaches and results. We then summarize a review of their derived algorithms and research efforts.
  • Keywords
    optimisation; bee colony algorithms; bee quotidian life; bio-inspired systems; foraging behavior; marriage principle; Ant colony optimization; Application software; Biological system modeling; Biology computing; Computational biology; Computer science; Evolution (biology); Insects; Radiofrequency interference; Testing; bee inspiration; foraging behavior; marriage behavior; metaheurstic; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4244-6533-0
  • Type

    conf

  • DOI
    10.1109/IPDPSW.2010.5470701
  • Filename
    5470701