Volume 32 Issue 08
Aug.  2006
Turn off MathJax
Article Contents
Zhou Shengqiang, Xiang Jinwu. Chaos-simplex-based hybrid algorithm to collaborative optimization of aircraft design[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(08): 908-911. (in Chinese)
Citation: Zhou Shengqiang, Xiang Jinwu. Chaos-simplex-based hybrid algorithm to collaborative optimization of aircraft design[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(08): 908-911. (in Chinese)

Chaos-simplex-based hybrid algorithm to collaborative optimization of aircraft design

  • Received Date: 26 Sep 2005
  • Publish Date: 31 Aug 2006
  • Corresponding to computational difficulties encountered in the applications of CO(collaborative optimization), existing solutions were concluded. With transformed the system level optimization to unconstrained optimization problem, intelligence optimization algorithms should be chosen, but the computational burden should be controlled. A hybrid search algorithm was composed of chaos optimization and simplex method. Chaos could escape from local minima and approach the global minima, and simplex method was used to perform the local search in the neighborhoods of chaos optimization results. It was studied how to apply the CO to the conceptual design of a trunkliner. The subsystem levels were optimized by SQP(sequential quadratic programming), and the system level by the hybrid search algorithm. The numeric result indicates that the approach is effective.

     

  • loading
  • [1] Raymer D P. Aircraft design:a conceptual approach [M]. Washington DC:AIAA Inc, 1989  [2] Braun R D. Collaborative optimization:an architecture for large-scale distributed design . Stanford,California:Dept. of Aeronautics and Astronautics,Stanford University, 1996  [3] Alexandrox N M,Lewis R M. Analytical and computational aspects of collaborative optimizationK .TM-2000-210104, NASA, 2000  [4] Sobiesk I P,Manning V M, Kroo I M. Response surface estimation and refinement in collaborative optimization Proceedings of 7th AIAA/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, St. Louis,1998:59-370 [5] 胡峪. 飞机多学科设计优化及其应用研究 . 西安:西北工业大学航空学院,2001 Hu Yu. Aircraft multidisciplinary design optimization and its application . Xi′an:School of Aeronautics,Northwestern Polytechnical University, 2001(in Chinese) [6] 余雄庆,薛飞,穆雪峰,等. 用遗传算法提高协同优化方法的可靠性[J]. 中国机械工程, 2003,14(21):1808-1811 Yu Xiongqing,Xue Fei,Mu Xuefeng,et al. Improving robustness of the collaborative optimization using genetic algorithms[J]. China Mechanical Engineering,2003,14(21):1808-1811(in Chinese) [7] 张彤,王宏伟,王子才. 变尺度混沌优化方法及其应用[J].控制与决策,1999,14(3):285-288 Zhang Tong,Wang Hongwei,Wang Zicai. Mutative scale chaos optimization algorithm and its application[J]. Control and Decision,1999,14(3):285-288(in Chinese) [8] Lewis K. An algorithm for integrated subsystem embodiment and system synthesis .Atlanta:Georgia Institute of Technology, 1996 [9] 方卫国,师瑞峰.飞机方案多目标优化的Pareto遗传算法[J]. 北京航空航天大学学报,2003,29(8):668-672 Fang Weiguo,Shi Ruifeng. Pareto genetic algorithms for multi-objective optimization of aircraft conceptual design[J]. Journal of Beijing University of Aeronautics and Astronautics, 2003,29(8):668-672(in Chinese)
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views(3046) PDF downloads(800) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return