• DocumentCode
    518699
  • Title

    No-wait flow shop scheduling based on artificial immune system

  • Author

    Zhao, Xiaojuan ; Tang, Jun

  • Author_Institution
    Dept. of Inf. Eng., Hunan Urban Constr. Coll., Xiangtan, China
  • Volume
    3
  • fYear
    2010
  • fDate
    27-29 March 2010
  • Firstpage
    436
  • Lastpage
    440
  • Abstract
    M-machine no-wait flow shop (NWFSS) problem is a NP-complete problem, and a novel approach to solve this type problem is presented in this paper. A continuous flow shop problem with total flow time as criterion is considered. This paper extends the artificial immune system (AIS) approach by proposing a new methodology termed as Psycho-Clonal algorithm. Proposed algorithm enjoys the flavours of AIS and Maslow´s need hierarchy theory to evolve a Meta heuristic. Numerical simulation with small and large number of jobs with respect to error percentage is reported. The results obtained are compared with the other existing approaches. Numerical simulation has revealed that results obtained using proposed algorithm have significant improvement over others.
  • Keywords
    artificial immune systems; computational complexity; flow shop scheduling; NP-complete problem; artificial immune system; no-wait flow shop scheduling; psycho-clonal algorithm; total flow time criterion; Artificial immune systems; Biological systems; Educational institutions; Humans; Immune system; Job shop scheduling; NP-complete problem; Numerical simulation; Psychology; Scheduling algorithm; Artificial immune system; Flow shop scheduling; No-wait; Psycho-Clonal algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2010 2nd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-5845-5
  • Type

    conf

  • DOI
    10.1109/ICACC.2010.5486821
  • Filename
    5486821