• DocumentCode
    1641237
  • Title

    Buffer allocation via the genetic algorithm

  • Author

    Liu, Chang ; Tu, Feng-sheng

  • Author_Institution
    Dept. of Comput. & Syst. Sci., Nankai Univ., Tianjin, China
  • Volume
    1
  • fYear
    1994
  • Firstpage
    609
  • Abstract
    The buffer allocation problem in complex stochastic production lines or queueing systems is intractable via conventional optimization techniques. Here a genetic algorithm based on simulation is adopted and it solves the problem efficiently. The algorithm is described in detail and illustrated by two examples. The advantages of the algorithm are also concluded
  • Keywords
    genetic algorithms; production control; queueing theory; buffer allocation; complex stochastic production lines; genetic algorithm; queueing systems; Biology computing; Computational modeling; Concurrent computing; Design optimization; Genetic algorithms; Gradient methods; Optimized production technology; Production systems; Random variables; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
  • Conference_Location
    Lake Buena Vista, FL
  • Print_ISBN
    0-7803-1968-0
  • Type

    conf

  • DOI
    10.1109/CDC.1994.410981
  • Filename
    410981
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1641237