• DocumentCode
    2233542
  • Title

    A Discrete Electromagnetism-Like Mechanism Algorithm for Solving Distributed Permutation Flowshop Scheduling Problem

  • Author

    Liu, Hongcheng ; Gao, Liang

  • Author_Institution
    State Key Lab. of Digital Manuf. Equip. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2010
  • fDate
    13-15 Dec. 2010
  • Firstpage
    156
  • Lastpage
    163
  • Abstract
    A distributed permutation flow shop scheduling problem (DPFSP) is an NP-hard problem recently put forward in shop scheduling sphere. Exact algorithms for a DPFSP´s solution can be extremely computationally costly. This paper proposes to apply an electromagnetism-like mechanism (EM) algorithm as a heuristic solution method to a DPFSP. To fit into the discrete domain of a DPFSP, modifications to the original EM algorithm, including redefinition of distance and movement and of charge and force calculation, have been made, to improve the performance of the proposed algorithm, a VNS local search mechanism employing the concept of the critical factory has been devised. The experimental results show the superiority of the proposed algorithm over the original EM algorithm. New best known solutions have been found to the Naderi´s DPFSP benchmark suite adapted from Tail lard instances.
  • Keywords
    computational complexity; electromagnetism; flow shop scheduling; search problems; NP-hard problem; VNS local search; critical factory; discrete electromagnetism; distributed permutation flowshop scheduling problem; force calculation; original EM algorithm; shop scheduling sphere; distributed permutation flowshop scheduling; electromagnetism-like mechanism algorithm; sequencing and scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Manufacturing Automation (ICMA), 2010 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-9018-9
  • Electronic_ISBN
    978-0-7695-4293-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2010.17
  • Filename
    5695172