• DocumentCode
    3519264
  • Title

    Modified Artificial Bee Colony Algorithms for Numerical Optimization

  • Author

    Zhang Dongli ; Guan Xinping ; Tang Yinggan ; Tang Yong

  • Author_Institution
    Inst. of Electr. Eng., Yanshan Univ., Qinhuangdao, China
  • fYear
    2011
  • fDate
    28-29 May 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The artificial bee colony algorithm is a swarm intelligence optimization algorithm inspired by the intelligent foraging behavior of honeybees. In this paper, modified ABC algorithms are proposed for numerical optimization. We have compared the performance of our ABC approach against the basic ABC algorithm, results show that the proposed methods have somewhat improved the convergence rate and global searching capability in some optimization problems.
  • Keywords
    optimisation; artificial bee colony algorithm; honeybee intelligent foraging behavior; numerical optimization; swarm intelligence optimization algorithm; Algorithm design and analysis; Clustering algorithms; Convergence; Optimization; Particle swarm optimization; Recurrent neural networks; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9855-0
  • Electronic_ISBN
    978-1-4244-9857-4
  • Type

    conf

  • DOI
    10.1109/ISA.2011.5873266
  • Filename
    5873266
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3519264