• DocumentCode
    545382
  • Title

    A hybrid heuristic algorithm for integrated large-capacity quay crane scheduling problem

  • Author

    He, Xing ; Wang, Su ; Zheng, Jun

  • Author_Institution
    Comput. Center, East China Normal Univ., Shanghai, China
  • Volume
    1
  • fYear
    2011
  • fDate
    11-13 March 2011
  • Firstpage
    309
  • Lastpage
    312
  • Abstract
    This paper proposed a hybrid heuristic algorithm for the integrated large-capacity quay crane scheduling which has two-quay-crane with non-interference constraints, and this model is decomposed into two types of sequencing, i.e. interstage sequencing (hatch sequencing) and intra-stage sequencing (stack sequencing in the same hatch).The stack sequencing problem is solved by a certain reconstructive Johnson´s rule with an effective local search capability. While a discrete particle swarm optimization is used to generate the solution of the hatch sequencing problem. Finally, numerical experiment was conducted and the simulation results show that the hybrid heuristic algorithm is able to solve the QC scheduling problem, especially for large sizes.
  • Keywords
    cranes; logistics; particle swarm optimisation; scheduling; search problems; stacking; discrete particle swarm optimization; hatch sequencing problem; hybrid heuristic algorithm; large capacity quay crane scheduling problem; local search capability; noninterference constraints; stack sequencing problem; Containers; Cranes; Heuristic algorithms; Job shop scheduling; Loading; Processor scheduling; Hybrid DPSO algorithm; Johnson´s rule; quay crane scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Research and Development (ICCRD), 2011 3rd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-839-6
  • Type

    conf

  • DOI
    10.1109/ICCRD.2011.5764026
  • Filename
    5764026