• DocumentCode
    329818
  • Title

    Adaptive scheduling system inspired by immune system

  • Author

    Mori, Kazuyuki ; Tsukiyama, Makoto ; Fukuda, Toyoo

  • Author_Institution
    Ind. Electron. & Syst. Lab., Mitsubishi Electr. Corp., Hyogo, Japan
  • Volume
    4
  • fYear
    1998
  • fDate
    11-14 Oct 1998
  • Firstpage
    3833
  • Abstract
    An immune system has powerful abilities such as memory, recognition and learning to respond to invading antigens, and artificial immunity-based systems are expected to be applicable to many engineering applications. This paper proposes an optimization algorithm imitating the immune system to solve the scheduling problem. The proposed algorithm is shown to be effective for multi-optimization such as a scheduling problem with variable batch sizes
  • Keywords
    adaptive systems; learning systems; optimisation; production control; adaptive scheduling system; immune system; invading antigens; learning; memory; multi-optimization; recognition; variable batch sizes; Adaptive scheduling; Batch production systems; Immune system; Industrial electronics; Job shop scheduling; Laboratories; Manufacturing systems; Power engineering and energy; Scheduling algorithm; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4778-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1998.726685
  • Filename
    726685