• DocumentCode
    2098144
  • Title

    Multi Quay Crane Scheduling Problem Based on ACO in Container Terminals

  • Author

    Wang, Su ; HU, Wenbin

  • Author_Institution
    Sch. of Inf., Sci. & Technol., East China Normal Univ., Shanghai, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Quay crane scheduling problem is a very important multi resource scheduling problem in container terminals. This paper gives the general model of quay crane scheduling and introduces a heuristic method Ant Colony Optimization to resolve this problem. According to the advantages of ACO for single resource scheduling, virtual nodes are added into the scheduling graph to change the multi resource scheduling to single resource scheduling. The simulation of quay crane scheduling in practice get satisfactory results.
  • Keywords
    cranes; optimisation; scheduling; ant colony optimization; container terminals; multi resource scheduling; quay crane scheduling problem; single resource scheduling; Ant colony optimization; Computational intelligence; Containers; Cranes; Loading; Marine vehicles; Mathematical model; Particle swarm optimization; Processor scheduling; Scheduling algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5301977
  • Filename
    5301977