首页 | 本学科首页   官方微博 | 高级检索  
     检索      

飞机方案多目标优化的Pareto遗传算法
引用本文: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.
作者姓名:方卫国  师瑞峰
作者单位:北京航空航天大学 经济管理学院, 北京 100083
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. 

关 键 词:多目标规化    飞机设计    遗传算法    Pareto最优
文章编号:1001-5965(2003)08-0668-05
收稿时间:2002-06-13
修稿时间:2002年6月13日

Pareto genetic algorithms for multi-objective optimization of aircraft conceptual design
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.
Authors:Fang Weiguo  Shi Ruifeng
Institution:School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
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.
Keywords:multiple objective optimization  aircraft design  genetic algorithms  Pareto optimal
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《北京航空航天大学学报》浏览原始摘要信息
点击此处可从《北京航空航天大学学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号