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
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