• DocumentCode
    3523789
  • Title

    Bat algorithm for topology optimization in microelectronic applications

  • Author

    Xin-She Yang ; Karamanoglu, Mehmet ; Fong, Simon

  • Author_Institution
    Sch. of Sci. & Technol., Middlesex Univ., London, UK
  • fYear
    2012
  • fDate
    12-14 Dec. 2012
  • Firstpage
    150
  • Lastpage
    155
  • Abstract
    In many design applications, designers often have to find the best geometrical configurations so as to achieve certain objectives with the minimum amount of materials used. Such shape or topology optimization problems are usually much harder to solve than nonlinear optimization problems in a fixed domain. In this paper, we use the recently developed bat algorithm to solve topology optimization problems. Results show that the distribution of different topological characteristics such as materials can be achieved efficiently. We have also tested the bat algorithm by solving nonlinear design benchmarks. Results suggest that bat algorithm is very efficient for solving nonlinear global optimization problems as well as topology optimization.
  • Keywords
    integrated circuit design; nonlinear programming; topology; bat algorithm; design application; geometrical configuration; microelectronic application; nonlinear design benchmark; nonlinear global optimization; topological characteristics; topology optimization problem; Bat algorithm; inverse problem; metaheuristics; optimization algorithm; topology optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Generation Communication Technology (FGCT), 2012 International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4673-5859-0
  • Type

    conf

  • DOI
    10.1109/FGCT.2012.6476566
  • Filename
    6476566