• DocumentCode
    478046
  • Title

    A Twin-Screw Coded Evolutionary Algorithm for Multi-level Production Scheduling

  • Author

    Shi, Ruifeng ; Zhou, Yiming

  • Author_Institution
    Dept. of Autom., North China Electr. Power Univ., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    413
  • Lastpage
    417
  • Abstract
    Multi-level production scheduling problem is a typical combinatorial optimization problem in manufacturing system, which is traditionally modeled as hierarchical sub-problems and optimized at each sub-problem level. An improved integrate evolutionary algorithm, which can cope with the whole multi-levels´ scheduling information at one time and can find the satisfied optimal solution in acceptable computational cost. The new algorithm employs a twin-screw coding strategy, which enhances the efficiency and performance of the algorithm´s convergence. Besides, a real three-level production scheduling problem case study is employed to evaluate the performance of the proposed algorithm. Experimental results show that our algorithm has outperformed the existing one.
  • Keywords
    combinatorial mathematics; convergence; evolutionary computation; manufacturing systems; optimisation; production control; scheduling; combinatorial optimization problem; manufacturing system; multilevel production scheduling; twin-screw coded evolutionary algorithm convergence; Computer science; Evolutionary computation; Job shop scheduling; Manufacturing automation; Manufacturing systems; Optimization methods; Power engineering computing; Processor scheduling; Production planning; Production systems; evolutionary algorithm; multi-level production scheduling; twin-screw coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.463
  • Filename
    4666879