• DocumentCode
    1621426
  • Title

    Simulation optimization methodologies

  • Author

    Azadivar, Farhad

  • Author_Institution
    Dept. of Ind. & Manuf. Syst. Eng., Kansas State Univ., Manhattan, KS, USA
  • Volume
    1
  • fYear
    1999
  • fDate
    6/21/1905 12:00:00 AM
  • Firstpage
    93
  • Abstract
    Simulation models can be used as the objective function and/or constraint functions in optimizing stochastic complex systems. This tutorial is not meant to be an exhaustive literature search on simulation optimization techniques. It does not concentrate on explaining well-known general optimization and mathematical programming techniques either. Its emphasis is mostly on issues that are specific to simulation optimization. Even though a lot of effort has been spent to provide a reasonable overview of the field, still there are methods and techniques that have not been covered and valuable works that may not have been mentioned
  • Keywords
    digital simulation; optimisation; computer simulation; constraint functions; objective function; simulation optimization methodologies; stochastic complex systems; Computational modeling; Computer simulation; Constraint optimization; Manufacturing industries; Manufacturing systems; Mathematical programming; Optimization methods; Stochastic processes; Stochastic systems; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference Proceedings, 1999 Winter
  • Conference_Location
    Phoenix, AZ
  • Print_ISBN
    0-7803-5780-9
  • Type

    conf

  • DOI
    10.1109/WSC.1999.823057
  • Filename
    823057