• DocumentCode
    2370761
  • Title

    Glowworm swarm optimization and heuristic algorithm for rectangle packing problem

  • Author

    Zeng, Yu ; Zhang, Jine

  • Author_Institution
    Sch. of Sci., Hubei Univ. of Technol., Wuhan, China
  • fYear
    2012
  • fDate
    23-25 March 2012
  • Firstpage
    136
  • Lastpage
    140
  • Abstract
    With the background of satellite module layout, This paper combines heuristic strategy with the glowworm swarm optimization for the problem of rectangle layout optimization with equilibrium constraint. We use heuristic strategy to divide the circular container into four sub-regions, which are layout synchronously. When the rectangle layout area has been decided, the bottom left fill strategy is used to layout the rectangle. On the basis of the heuristic strategy, glowworm swarm optimization algorithm is applied to search for the optimal placing order, and finally the optimal layout is obtained. The simulation numerical results show that this paper algorithm is more effective than the existing algorithms.
  • Keywords
    artificial satellites; bin packing; constraint theory; containers; particle swarm optimisation; container; equilibrium constraint; glowworm swarm optimization; heuristic algorithm; rectangle layout optimization; rectangle packing problem; satellite module layout; Algorithm design and analysis; Containers; Heuristic algorithms; Layout; Optimization; Particle swarm optimization; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2012 International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-1-4577-0343-0
  • Type

    conf

  • DOI
    10.1109/ICIST.2012.6221623
  • Filename
    6221623