• DocumentCode
    2231903
  • Title

    A genetic algorithm for general machine scheduling problems

  • Author

    Lee, Kyung-Mi ; Yamakawa, Takeshi ; Keon-Myung Lee

  • Author_Institution
    Syst. of Comput. Sci. & Syst. Eng., Kyushu Inst. of Technol., Fukuoka, Japan
  • Volume
    2
  • fYear
    1998
  • fDate
    21-23 Apr 1998
  • Firstpage
    60
  • Abstract
    This paper deals with the so-called general machine scheduling problems. In the general machine scheduling problems, job shop type jobs and open shop type jobs are scheduled together and the imposition of precedence constraints is allowed between operations belonging to either the same job or different jobs. This paper proposes a genetic algorithm to solve such general machine scheduling problems. Some experimental results are presented to show the applicability of the proposed method. The method can be used to solve traditional job shop scheduling, flow shop scheduling, and open shop scheduling as well as general machine scheduling problems
  • Keywords
    genetic algorithms; operations research; production control; flow shop; genetic algorithm; job shop; machine scheduling; open shop; production control; Computer science; Genetic algorithms; Genetic engineering; Job shop scheduling; Manufacturing systems; NP-hard problem; Polynomials; Processor scheduling; Scheduling algorithm; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    0-7803-4316-6
  • Type

    conf

  • DOI
    10.1109/KES.1998.725893
  • Filename
    725893