• DocumentCode
    1831621
  • Title

    Bee colony foraging algorithm for integer programming

  • Author

    Liu, Yong ; Ma, Liang

  • Author_Institution
    Sch. of Manage., Univ. of Shanghai for Sci. & Technol., Shanghai, China
  • Volume
    5
  • fYear
    2011
  • fDate
    13-15 May 2011
  • Firstpage
    199
  • Lastpage
    201
  • Abstract
    In order to solve integer programming, a bee colony foraging algorithm is proposed, which is based on the law of foraging bees. The principle of optimization algorithm is discussed and the implementation of the method is presented. The performance of bee colony foraging algorithm is compared with particle swarm optimization and chaotic ant swarm. The experimental results show bee colony foraging algorithm can handle integer programming efficiently and performs much better than other algorithms.
  • Keywords
    chaos; integer programming; particle swarm optimisation; bee colony foraging algorithm; chaotic ant swarm; foraging bees; integer programming; optimization algorithm; particle swarm optimization; Algorithm design and analysis; Classification algorithms; Heuristic algorithms; Linear programming; Mathematical model; Optimization; Particle swarm optimization; bee colony foraging algorithm; integer programming; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Management and Electronic Information (BMEI), 2011 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-61284-108-3
  • Type

    conf

  • DOI
    10.1109/ICBMEI.2011.5914458
  • Filename
    5914458