• DocumentCode
    2728064
  • Title

    Research on optimization of vehicle routing based on Hopfield neural network

  • Author

    Wei, Meng ; Bin, Yu

  • Author_Institution
    Sch. of Inf. Eng., Tianjin Univ. of Commerce, Tianjin, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    157
  • Lastpage
    159
  • Abstract
    The optimization of vehicle routing is essentially a constraint-based shortest path problem, which can be resolved by Hopfield-based neural network. This paper proposes a vehicle routing optimization algorithm based on Hopfield, which can offer a solution for logistics distribution routing quickly under the circumstance of the given distribution position and cargo amount. Experimental results have shown that the algorithm has advantages in fast convergence and accurate computation, etc.
  • Keywords
    Hopfield neural nets; graph theory; logistics; optimisation; production engineering computing; Hopfield-based neural network; constraint-based shortest path problem; logistics distribution routing; vehicle routing optimization algorithm; Algorithm design and analysis; Heuristic algorithms; Hopfield neural networks; Neurons; Optimization; Routing; Vehicles; Hopfield neural netwrok; VRP; combinatorial optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-9699-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2011.5982278
  • Filename
    5982278