• DocumentCode
    2106899
  • Title

    Hybrid binary ant colony algorithm for container loading problem

  • Author

    Yuan Junliang ; Xiong Weiqing ; Jiang Baochuan

  • Author_Institution
    Inst. of Electron. Commerce, Ningbo, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    5247
  • Lastpage
    5251
  • Abstract
    Container loading problem with multi-constraints is a complicated combinatorial optimization problem. It´s a NP-hard problem. In this paper, a trifurcate tree of space is designed according to the trait of this problem and available space is divided by the strategy of trifurcate tree. Binary ant colony algorithm combining heuristics is proposed to solve the container loading problem. First, using binary ant colony algorithm determine the set of preparatory loading goods. Then, using heuristics determine the priority of the goods and an effective bin-packing algorithm is given. Results of the experiment show the feasibility and effectiveness of the proposed algorithm.
  • Keywords
    bin packing; containers; goods distribution; loading; optimisation; trees (mathematics); NP hard problem; bin packing algorithm; combinatorial optimization problem; container loading problem; hybrid binary ant colony algorithm; trifurcate tree; Algorithm design and analysis; Containers; Electronic mail; Europe; Heuristic algorithms; Loading; Manganese; Binary Ant Colony Algorithm; Container Loading; Heuristic; Trifurcate Tree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5573398