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Volume 32 Issue 05
May  2006
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Journal of Beijing University of Aeronautics and Astronautics  > 2006  >  32(05): 508-512.
Li Dong, Cao Yihua, Su Yuan, et al. Trajectory planning for low attitude penetration based on improved ant colony algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(03): 258-262. (in Chinese)
Citation: Wan Zhiqiang, Yang Chao. Application of design sensitivity in aeroelastic genetic optimization[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(05): 508-512. (in Chinese)
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Application of design sensitivity in aeroelastic genetic optimization

  • School of Aeronautic Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • Received Date: 03 Jun 2005
  • Publish Date: 31 May 2006
    Abstract
  • A design study aimed to optimize a composite wing in an aeroelastic way was presented using genetic algorithm and genetic/sensitivity-based hybridalgorithm. In order to increase the search efficiency of the above-mentioned two algorithms, a set of methods was put forward to fix primary and secondary design variables followed by adjusting the design variable domain on the basis of design variable importance in terms of their sensitivity. Results demonstrate that the size of design variable domain had direct effects on the search efficiency of genetic algorithm and genetic/sensitivity-based hybrid algorithm, especially when the former was used. Therefore, the search space should be reduced to be as small as possible if an enough amount of excellent feasible solutions in design space could be ensured. Results indicate that the method to adjust the size of design variable domain on the basis of sensitivity has proved to be of fairly practical success, which can not only remarkably increase the search efficiency of genetic algorithm and genetic/sensitivity-based algorithm, but also strengthen the capability of the two algorithms to discriminate the feasible field.

     

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    • References(1)
  • [1] Wan Zhiqiang, Yang Chao, Zou Congqing. Design studies of aeroelastic tailoring of forward-swept composite aircraft using hybrid genetic algorithm . AIAA Paper 2003-1491, 2003 [2] 万志强, 杨超, 郦正能. 混合遗传算法在气动弹性多学科优化中的作用 . 北京航空航天大学 报, 2004, 30(12):1142-1146 Wan Zhiqiang, Yang Chao, Li Zhengneng. Application of hybrid genetic algorithm in aeroelastic multidisciplinary optimization[J]. Journal of Beijing University of Aeronautics and Astronautics, 2004, 30(12):1142-1146(in Chinese) [3] Holland J H. Adaptation in natural and artificial systems[M]. Ann Arbor:University of Michigan Press, 1975:183 [4] Rodden W P, Johnson E H. MSC/Nastran aeroelastic analysis user's guide V68[M]. Log Angeles:MSC Corporation, 1994:657-698
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