飞机方案多目标优化的Pareto遗传算法

方卫国; 师瑞峰

飞机方案多目标优化的Pareto遗传算法

北京航空航天大学经济管理学院, 北京 100083

详细信息

作者简介:
方卫国(1969-),男,湖北云梦人,副教授, wgfang@buaa.edu.cn.

中图分类号: V 2216
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出版历程
- 收稿日期: 2002-06-13
- 网络出版日期: 2003-08-31

Pareto genetic algorithms for multi-objective optimization of aircraft conceptual design

School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

摘要

摘要: 基于多目标优化问题Pareto最优解的概念,提出了一种求解非劣解集的多目标遗传算法,重点讨论了算法实现中非劣解集的筛选和适应度的计算.将该算法应用于假想的干线客机方案优化设计,要求巡航段升阻比和有用载荷系数两个目标最大,对优化结果进行了分析比较.研究结果显示出MOGA(Multi-Objective Genetic Algorithms)对飞机方案多目标优化设计具有良好的应用前景.
- 多目标规化 /
- 飞机设计 /
- 遗传算法 /
- Pareto最优
Abstract: Based on the Pareto optimal conception, a kind of MOGA(multi-objective genetic algorithms) seeking non-inferior solution set of MO problems was proposed, while the filtering of non-inferior solutions and the measure of fitness degree were discussed as an emphasis. The algorithm proposed was applied to a two-objective optimization of a hypothetical airliner conceptual design, where both the ratio of lift to drag in cruise segment and the useful load fraction were required to be maximized. The optimal solutions were analyzed and compared to the solution from uni-objective optimization using simple genetic algorithms. The research result demonstrates that MOGA possesses good application foreground for aircraft conceptual multi-objective optimization.
- multiple objective optimization /
- aircraft design /
- genetic algorithms /
- Pareto optimal

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参考文献(1)

[1] 林锉云,董加礼.多目标优化的方法与理论[M] 长春:吉林教育出版社,1992.130~138 Lin Cuoyun,Dong Jiali. Theory and methods of multiobjective optimization[M] Changchun:Publishing House of Jilin Education,1992.130~138(in Chinese) [2] 王小平,曹立明. 遗传算法——理论、应用与软件实现[M] 西安:西安交通大学出版社, 2002.115~122 Wang Xiaoping, Cao Liming. Genetic algorithms——theory, application and software implementation[M] Xi'an:Publishing House of Xi'an Jiaotong University, 2002.115~122(in Chinese) [3] 朱浩鹏,李为吉. 结构多目标优化非劣解集的遗传算法[J] 西北工业大学学报,2001,19(1):152~155 Zhu Haopeng,Li Weiji. Multiobjective structural optimization with Pareto genetic algorithm[J] Journal of Northwestern Polytechnical University, 2001, 19(1):152~155(in Chinese) [4] 朱学军,攀登,王安麟,等. 混合变量多目标优化设计的Pareto遗传算法实现[J] 上海交通大学学报,2000,34(3):411~414 Zhu Xuejun,Pan Deng,Wang Anlin,et al. Multiobjective optimization design with mixed-discrete variables in mechanical engineering via Pareto genetic algorithm[J] Journal of Shanghai Jiaotong University, 2002, 34(3):411~414(in Chinese) [5] Obayashi S. Multidisciplinary design optimization of aircraft wing planform based on evolutionary algorithms. Proceedings of 1998 IEEE International Conference on Systems, Man, and Cybernetics. CA, USA:San Diego,1998, 4:3148~3153 [6] Crossley W A. Optimization for aerospace conceptual design through the use of genetic algorithms. Proceedings of the First NASA/DoD Workshop on Evolvable Hardware. CA, USA:Pasadena,1999. 200~207 [7] 师瑞峰,方卫国. 遗传算法在飞机方案优化中的应用研究[J] 北京航空航天大学学报,2001,27(增刊):21~24 Shi Ruifeng, Fang Weiguo. Application of genetic algorithms to optimization of aircraft conceptual design[J] Journal of Beijing University of Aeronautics and Astronautics, 2001, 27 (Supplement):21~24(in Chinese) [8] Kalsi M, Hacker K, Lewis K. A comprehensive robust design approach for decision trade-offs in complex systems design[J] Journal of Mechanical Design,2001,123(1):1~10

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