• DocumentCode
    2558530
  • Title

    Application of artificial bee colony algorithm for structural topology optimization

  • Author

    Lee, Chae-Ho ; Park, Ji-Yong ; Park, Jae-Yong ; Han, Seog-Young

  • Author_Institution
    Dept. of Mech. Eng., Hanyang Univ., Seoul, South Korea
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    1023
  • Lastpage
    1025
  • Abstract
    Artificial bee colony algorithm (ABCA) as one of swarm intelligence methods and finite element analysis are first adopted for structural topology optimization. The objective of the paper is to examine the effectiveness and applicability of the suggested ABCA in structural topology optimization. This paper describes considerable modifications made to the ABCA in order to solve discrete topology optimization problems. The desirable conclusions are obtained through the results of the examples based on the suggested ABCA.
  • Keywords
    artificial intelligence; finite element analysis; optimisation; artificial bee colony algorithm; discrete topology optimization; finite element analysis; structural topology optimization; swarm intelligence; Algorithm design and analysis; History; Indexes; Materials; Optimization; Structural beams; Topology; Artificial bee colony algorithm; Finite element method; Roulette wheel method; Topology optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2012 Eighth International Conference on
  • Conference_Location
    Chongqing
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4577-2130-4
  • Type

    conf

  • DOI
    10.1109/ICNC.2012.6234632
  • Filename
    6234632