• DocumentCode
    2289610
  • Title

    Integrated optimal algorithm for flexible job shop scheduling with due-date window

  • Author

    Song, Juan

  • Author_Institution
    Sch. of Phys. & Electr. Inf. Sci., Ningxia Univ., Yinchuan, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    638
  • Lastpage
    642
  • Abstract
    The objective of Flexible job shop scheduling problem (FJSP) with due-date window is to minimize the total E/T (earliness and tardiness) penalties for NP-hard problem. In this paper, an integrated optimal genetic algorithm is developed to optimize flexible scheduling objective of E/T with due-date window. In addition, mathematical model is established with respect to minimize E/T penalties, subjected to a set of practical restrained conditions. To testify optimization feasibility, the due-date window is sorted into common and discrete due-date window in the experiments. The proposed approach has been simulated on several benchmarks. Simulation results show that the hybrid algorithm proposed has satisfactory performance.
  • Keywords
    computational complexity; genetic algorithms; job shop scheduling; NP-hard problem; discrete due-date window; earliness penalties; flexible job shop scheduling; flexible scheduling objective; integrated optimal algorithm; integrated optimal genetic algorithm; mathematical model; optimization feasibility; practical restrained conditions; tardiness penalties; total E/T; Biological cells; Genetic algorithms; Job shop scheduling; Optimal scheduling; Processor scheduling; Due-date window; E/T penality cost; FJSP; Genetic algorithm; Simulated annealing algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6357957
  • Filename
    6357957