• DocumentCode
    1874817
  • Title

    A Hybrid Evolution Algorithm for VLSI Floorplanning

  • Author

    Chen, Jiarui ; Chen, Jianli

  • Author_Institution
    Center for Discrete Math. & Theor. Comput. Sci., Fuzhou Univ., Fuzhou, China
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The floorplanning is a critical phase in very large-scale integrated-circuit(VLSI) physical design. It determines the topology of layout, and it aims to arrange a set of rectangular modules on a chip so as to optimize the chip area, wirelength, etc. This problem is known to be NP-hard, and has received much attention in recent years. B*-tree representation is adopted in this paper. Based on the concept of evolutionary algorithm and simulated annealing, a hybrid evolutionary algorithm(ESA) is proposed. It is effective to explore solution space and locate the optimal solution. The effectiveness of our method is demonstrated on several cases of MCNC benchmarks.
  • Keywords
    VLSI; evolutionary computation; integrated circuit layout; network topology; simulated annealing; trees (mathematics); B*-tree representation; VLSI floorplanning; evolutionary algorithm; hybrid evolution algorithm; simulated annealing; topology; very large-scale integrated-circuit; Algorithm design and analysis; Benchmark testing; Computational modeling; Integrated circuit modeling; Simulated annealing; Space exploration; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5391-7
  • Electronic_ISBN
    978-1-4244-5392-4
  • Type

    conf

  • DOI
    10.1109/CISE.2010.5676951
  • Filename
    5676951