• DocumentCode
    2456096
  • Title

    Cauchy movements for Artificial Bees for finding better food sources

  • Author

    Rajasekhar, Anguluri ; Pant, Millie ; Abraham, Ajith

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Nat. Inst. of Technol.-Warangal, Warangal, India
  • fYear
    2011
  • fDate
    19-21 Oct. 2011
  • Firstpage
    279
  • Lastpage
    284
  • Abstract
    Artificial Bee Colony (ABC) algorithm is one of the most recent swarm intelligence based algorithms which simulates the foraging behavior of honey bee colonies. In the present study we propose a simple modification in the basic structure of ABC to enhance the capabilities of virtual bees in locating the potential food sources (ones having sufficient amount of nectar in them). If the virtual bees are unable to locate a good food source even after a particular number of cycles then they are forced towards another food source with the help of a small perturbation. The corresponding algorithm is named as C-ABC, where C stands for Cauchy distribution which helps the bees in getting away from food sources which are not so good. Analysis of the proposed C-ABC on 5 standard benchmark problems and 7 non-traditional problems, suggested in the special session of CEC´2008, shows that the incorporation of the proposed scheme considerably improves the performance of basic ABC algorithm.
  • Keywords
    ant colony optimisation; artificial intelligence; food products; ABC algorithm; C-ABC; artificial bee colony algorithm; benchmark problem; cauchy distribution; cauchy movement; food source; honey bee colonies; swarm intelligence based algorithm; virtual bees; Algorithm design and analysis; Benchmark testing; Biology; Clustering algorithms; Heuristic algorithms; Mathematical model; Optimization; Cauchy Distribution; dynamic optimization problems; honey-bees;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nature and Biologically Inspired Computing (NaBIC), 2011 Third World Congress on
  • Conference_Location
    Salamanca
  • Print_ISBN
    978-1-4577-1122-0
  • Type

    conf

  • DOI
    10.1109/NaBIC.2011.6089608
  • Filename
    6089608