• DocumentCode
    3618225
  • Title

    A genetic algorithm for multilayer multiprocessor task scheduling

  • Author

    Ceyda Oguz;M.F. Ercan

  • Author_Institution
    Dept. of Logistics, Hong Kong Polytech. Univ., Kowloon, China
  • fYear
    2004
  • fDate
    6/26/1905 12:00:00 AM
  • Firstpage
    168
  • Abstract
    The scheduling problem in a multilayer multiprocessor environment finds its relevance in many industrial and computing applications. In this paper, we present a genetic algorithm for the solution. We describe the implementation details and introduce a new crossover operator. Extensive computational experiments demonstrated that genetic algorithm performs well.
  • Keywords
    "Genetic algorithms","Job shop scheduling","Processor scheduling","Application software","Computer aided manufacturing","Computer applications","Algorithm design and analysis","Scheduling algorithm","Logistics","Industrial electronics"
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2004. 2004 IEEE Region 10 Conference
  • Print_ISBN
    0-7803-8560-8
  • Type

    conf

  • DOI
    10.1109/TENCON.2004.1414558
  • Filename
    1414558
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3618225