• DocumentCode
    597333
  • Title

    Metamodeling of simulations consisting of time series inputs and outputs

  • Author

    Rosen, Scott L. ; Saunders, C.P. ; Guharay, Samar K.

  • Author_Institution
    MITRE Corp., McLean, VA, USA
  • fYear
    2012
  • fDate
    9-12 Dec. 2012
  • Firstpage
    1
  • Lastpage
    12
  • Abstract
    Long run times of a simulation can be a hindrance when an analyst is attempting to use the model for timely system analysis and optimization. In this situation, techniques such as simulation metamodeling should be considered to expedite the end user´s intended analysis procedure. A difficult problem arises in the application of metamodeling when the simulation inputs and outputs are not of a single value, but constitute a time series, a phenomenon that is seen repeatedly in the area of financial simulations and many naturally occurring events. This paper provides a method to develop a mapping between multiple time series inputs of a simulation and a single Figure of Merit (FoM) of the system across a given time period of interest. In addition, this paper discusses a means for an end user to define a tailored FoM with respect to their own specific system beliefs and objectives in the case of multiple simulation outputs.
  • Keywords
    financial management; modelling; simulation; time series; FoM; figure of merit; financial simulations; simulation input; simulation metamodeling; simulation output; time series; Analytical models; Biological neural networks; Computational modeling; Metamodeling; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2012 Winter
  • Conference_Location
    Berlin
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4673-4779-2
  • Electronic_ISBN
    0891-7736
  • Type

    conf

  • DOI
    10.1109/WSC.2012.6464991
  • Filename
    6464991