• DocumentCode
    707539
  • Title

    Applications of Artificial Bee Colony Optimization technique: Survey

  • Author

    Kaswan, Kuldeep Singh ; Choudhary, Sunita ; Sharma, Kapil

  • Author_Institution
    Dept. of Comput. Sci., Banasthali Univ., Tonk, India
  • fYear
    2015
  • fDate
    11-13 March 2015
  • Firstpage
    1660
  • Lastpage
    1664
  • Abstract
    In this paper, an overviews of different application areas are discussed, where the Artificial Bee Colony (ABC) optimization algorithm has applied. Artificial bee colony was introduced by Karabora in 2005. It was developed to solve real parameter optimization problem. BCO´s (Bee Colony Optimization) foraging behavior is simulated in artificial bee colony. This system portraying organized team-work well coordinated interaction, labor division, simultaneous task performance and well-knit communication.
  • Keywords
    optimisation; ABC optimization algorithm; BCO; artificial bee colony optimization technique; bee colony optimization foraging behavior; Algorithm design and analysis; Benchmark testing; Clustering algorithms; Heuristic algorithms; Optimization; Prediction algorithms; Software algorithms; Artificial Bee Colony Optimization (ABC); Bee Colony Optimization (BCO); CABC; IABC; Swarm Intelligence (SI);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-9-3805-4415-1
  • Type

    conf

  • Filename
    7100529