• DocumentCode
    2998613
  • Title

    Stochastic Mutation Algorithm in Multi-objective Design Optimization

  • Author

    Seng Hong ; Thiele, G. ; Venkayya, V.

  • Author_Institution
    Wright-Patterson AFB, Dayton
  • Volume
    2
  • fYear
    2006
  • fDate
    6-9 Aug. 2006
  • Firstpage
    41
  • Lastpage
    45
  • Abstract
    The design of integrated multiple objective systems is, a complex problem involving the work of various disciplines, each dependent on the other. The computation or prediction of plane wave backscattered field is one of the primary design disciplines of future spacecraft and weapon systems. The task of computing the electromagnetic backscattered field of a spacecraft structure is by no means a new endeavor. Whereas predicting a minimal backscattered field return under the manipulation of airframe geometry in the context of multi-objective design is considered the most exhaustive approach to obtain the optimal solution and is a new endeavor. The purpose of this paper is to develop a mathematical method to couple the backscattered field with the defined aerodynamic performance constraints in the design process of future spacecraft.
  • Keywords
    aerodynamics; aerospace components; backscatter; design engineering; geometry; optimisation; space vehicles; stochastic processes; structural engineering; weapons; aerodynamic performance constraints; airframe geometry; multiobjective design optimization; plane wave backscattered field; spacecraft structure; stochastic mutation algorithm; weapon system; Aerodynamics; Design optimization; Electromagnetic fields; Genetic mutations; Geometry; Process design; Space vehicles; Stochastic processes; Vehicle dynamics; Weapons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2006. MWSCAS '06. 49th IEEE International Midwest Symposium on
  • Conference_Location
    San Juan
  • ISSN
    1548-3746
  • Print_ISBN
    1-4244-0172-0
  • Electronic_ISBN
    1548-3746
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2006.382203
  • Filename
    4267281