• DocumentCode
    2752630
  • Title

    Visualization Tools for Multicriteria Analysis of the Prototype Improvement Problem

  • Author

    Statnikov, Roman ; Anil, Kivanc Ali ; Bordetsky, Alex ; Statnikov, Alexander

  • Author_Institution
    Dept. of Inf. Sci., Naval Postgraduate Sch., Monterey, CA
  • fYear
    2007
  • fDate
    1-5 April 2007
  • Firstpage
    341
  • Lastpage
    347
  • Abstract
    One of the basic engineering optimization problems is the problem of improving a prototype. This problem is constantly encountered by industrial and academic organizations that produce and design various objects (e.g., motor vehicles, machine tools, ships, and aircraft). This paper presents an approach for improving a prototype by construction of the feasible and Pareto sets while performing multicriteria analysis. We introduce visualization methods that facilitate constructing the feasible and Pareto sets. Using these techniques, an expert can correctly state and solve the problem under consideration in a series of dialogs with the computer. Finally, we present a case study of applying these methods to a problem of improving a prototype of the ship
  • Keywords
    Pareto optimisation; data visualisation; engineering computing; operations research; set theory; Pareto sets; engineering optimization problems; multicriteria analysis; prototype improvement problem; visualization tools; Aerospace engineering; Aerospace industry; Automotive engineering; Construction industry; Design engineering; Machine tools; Marine vehicles; Prototypes; Shipbuilding industry; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Multicriteria Decision Making, IEEE Symposium on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-0702-8
  • Type

    conf

  • DOI
    10.1109/MCDM.2007.369111
  • Filename
    4223026