• DocumentCode
    237649
  • Title

    A literature review of Bee Colony optimization algorithms

  • Author

    Gulati, Rishabh ; Vats, Prashant

  • Author_Institution
    HMR Inst. of Technol. & Manage., New Delhi, India
  • fYear
    2014
  • fDate
    28-29 Nov. 2014
  • Firstpage
    499
  • Lastpage
    504
  • Abstract
    Bee Colony optimization techniques are inspired by the high level of mutual intelligence shown by the natural bees in the food foraging process. It is a population based natural search algorithm which provides the base to solve metaheuristic computational optimization problems. In this paper we have carried out a literature review of the applications of BCO into various areas of computational problems where they prove their worth in providing optimized solutions. We have further carried out a tabular comparison of the work performed by the various researchers by applying the the BCO as optimization algorithms for solving the Optimization Problems.
  • Keywords
    optimisation; search problems; bee colony optimization algorithms; food foraging process; metaheuristic computational optimization problems; mutual intelligence; natural bees; population based natural search algorithm; Algorithm design and analysis; MATLAB; Optimization; Search problems; Software algorithms; Testing; Bee Colony Optimization; Foraging behavior; Optimization; Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), 2014 Innovative Applications of
  • Conference_Location
    Ghaziabad
  • Type

    conf

  • DOI
    10.1109/CIPECH.2014.7019121
  • Filename
    7019121