• DocumentCode
    2997233
  • Title

    Simulation data mining: a new form of computer simulation output

  • Author

    Brady, Thomas F. ; Yellig, Edward

  • Author_Institution
    Dept. of Eng. Technol., Purdue Univ. North Central, Westville, IN, USA
  • fYear
    2005
  • fDate
    4-7 Dec. 2005
  • Abstract
    The objective of simulation modeling is to gain insight into the dynamics of complex systems. Simulation models of complex systems consist of numerous input variable, linked together by logical relationships. The process of determining the set of input variable values that produce the optima output has often posed the greatest challenge during simulation studies. In recent years, the ability to integrate optimization technology into simulation models has significantly improved this process. To effectively utilize optimization technology, however, modelers must define optimization variables. In this paper, an approach is developed that provides information concerning the interrelationship between input variables used in a simulation model. This information can then be used as the basis for selecting optimization variables.
  • Keywords
    data mining; digital simulation; optimisation; complex system; computer simulation output; data mining simulation; input variable value; optima output; optimization technology; simulation modeling; Computational modeling; Computer simulation; Data mining; Information analysis; Input variables; Logistics; Medical services; Operations research; Optimization methods; Production facilities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2005 Proceedings of the Winter
  • Print_ISBN
    0-7803-9519-0
  • Type

    conf

  • DOI
    10.1109/WSC.2005.1574262
  • Filename
    1574262