유전 알고리즘을 이용한 공력 및 RCS 익형 최적 설계 Aerodynamics and RCS coupled Airfoil Design Optimization Using Genetic Algorithms

Genetic Algorithm(GA) is an optimization algorithm based on the biological evolution and is known to be suitable for multi-disciplinary design optimizations because of the global searching ability. However, slow convergence and high computational cost can make the applicable range of CA limited to rather simple problems. In the case of airfoil designs, it. is restricted within 2 dimensional inviscid designs at present. In this paper, aerodynamics and RCS coupled design optimization is performed using a genetic algorithm. To resolve the problems such as convergence and computational cost, a hybrid GA is designed. For an, aerodynamics and RCS coupled design, not only 2D inviscid analysis but also viscous analysis are applied as aerodynamic analyses and RCS analysis is applied for the high frequency region, not for the low frequency region as was usually done.
Publisher
한국항공우주학회
Issue Date
2001-09
Language
KOR
Citation

한국항공우주학회지, v.29, no.6, pp.1 - 8

ISSN
1225-1348
URI
http://hdl.handle.net/10203/10008
Appears in Collection
NE-Journal Papers(저널논문)
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