Title :
Stochastic Mutation Algorithm in Multi-objective Design Optimization
Author :
Seng Hong ; Thiele, G. ; Venkayya, V.
Author_Institution :
Wright-Patterson AFB, Dayton
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;
Conference_Titel :
Circuits and Systems, 2006. MWSCAS '06. 49th IEEE International Midwest Symposium on
Conference_Location :
San Juan
Print_ISBN :
1-4244-0172-0
Electronic_ISBN :
1548-3746
DOI :
10.1109/MWSCAS.2006.382203