• DocumentCode
    2578111
  • Title

    Job scheduling on parallel machines using simulated annealing

  • Author

    Lo, Zhen-Ping ; Bavarian, Behnam

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
  • fYear
    1991
  • fDate
    13-16 Oct 1991
  • Firstpage
    391
  • Abstract
    The authors consider the problem of scheduling a set of simultaneously available jobs on several parallel machines. Specifically, the minimization of the time to finish all the jobs assigned to all machines of scheduling sequence under job deadline constraints for the n jobs, m machines problem is formulated. The simulated annealing and fast simulated annealing algorithms are reviewed and adopted for the scheduling problem. A large number of simulations were carried out which provides an empirical basis for comparing the application of classical simulated annealing and fast simulated annealing algorithms to the scheduling problem
  • Keywords
    minimisation; production control; simulated annealing; job deadline constraints; job scheduling; parallel machines; production control; simulated annealing; Computational modeling; Differential equations; Integer linear programming; Parallel machines; Processor scheduling; Scheduling algorithm; Simulated annealing; Switches; Timing; Uninterruptible power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
  • Conference_Location
    Charlottesville, VA
  • Print_ISBN
    0-7803-0233-8
  • Type

    conf

  • DOI
    10.1109/ICSMC.1991.169716
  • Filename
    169716