• DocumentCode
    589406
  • Title

    Research on Warehouse Allocation Problem Based on the Artificial Bee Colony Inspired Particle Swarm Optimization (ABC-PSO) Algorithm

  • Author

    Wenxin Hu ; Ye Wang ; Jun Zheng

  • Author_Institution
    Comput. Center, East China Normal Univ., Shanghai, China
  • Volume
    1
  • fYear
    2012
  • fDate
    28-29 Oct. 2012
  • Firstpage
    173
  • Lastpage
    176
  • Abstract
    Based on the conception of storing by category as well as taking the cost of storing, fetching and place occupation under consideration, this paper denotes a Artificial Bee Colony inspired Particle Swarm Optimization algorithm intending to figure out the problem of storage position allocation in the warehouse schedule. a value called COI (Cube-per-order index) is introduced in the allocation procedure as the criterion of categories in order to partition the goods. in the last part of this paper, the efficiency and result of this algorithm are analyzed by deploying it into the practical applications, which also proves that this algorithm can deal with this problem effectively.
  • Keywords
    particle swarm optimisation; scheduling; warehousing; ABC-PSO algorithm; COI; artificial bee colony inspired particle swarm optimization algorithm; cube-per-order index; fetching; place occupation; storage position allocation; storing-by-category; warehouse allocation problem; warehouse schedule; Algorithm design and analysis; Equations; Layout; Mathematical model; Optimization; Particle swarm optimization; Resource management; Artificial Bee Colony algorithm; COI; Particle Swarm Optimization; Warehouse allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-2646-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2012.51
  • Filename
    6406946