• DocumentCode
    2574690
  • Title

    Study and implementation of hybrid scheduling algorithm on JSP

  • Author

    Daxin, Zang ; Jianhua, Yao ; Maozhong, Jin

  • Author_Institution
    Software Eng. Inst., Beijing Univ. of Aeronaut. & Astronaut., Beijing
  • fYear
    2008
  • fDate
    June 30 2008-July 2 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper analyzes the requirement of a practical job-shop scheduling, which is different from the classical job-shop scheduling problems (JSP), more focus on strict resource constraints. First is formulated a mathematical model. Then described a new method, combined the time Petri net and the hybrid genetic algorithm, to solution of the practical JSP. The time Petri net was used to model discrete events in job shop scheduling, the scheduling results was obtained based on hybrid genetic algorithm. The objective of the new method is obtained makespan minimization in JSP. At the end of the paper, a practical example is described, and the results show that the proposed method is effective.
  • Keywords
    Petri nets; genetic algorithms; job shop scheduling; hybrid genetic algorithm; hybrid scheduling; job-shop scheduling; mathematical model; resource constraints; time Petri net; Character generation; Computational modeling; Dynamic scheduling; Genetic algorithms; Job shop scheduling; Optimization methods; Scheduling algorithm; Simulated annealing; Software engineering; State-space methods; Genetic Algorithm; Job-shop Scheduling Problem; Simulated Annealing; Time Petri Net;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management, 2008 International Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4244-1671-4
  • Electronic_ISBN
    978-1-4244-1672-1
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2008.4598526
  • Filename
    4598526