| 基于翼型反设计的遗传算法 |
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| 引用本文： | 李秀娟,廖文和,刘浩.基于翼型反设计的遗传算法[J].南京航空航天大学学报,2007,39(2):263-266. |
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| 作者姓名： | 李秀娟 廖文和 刘浩 |
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| 作者单位： | 1. 南京航空航天大学理学院,南京,210016;南京航空航天大学机电学院,南京,210016
2. 南京航空航天大学机电学院,南京,210016 |
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| 摘 要： | 遗传算法有时收敛太慢或收敛困难.在翼型反设计问题中,算法的计算效率很重要.给出了翼型的非均匀B样条曲线表示,设计了遗传操作算子,引入一种简单、易实现、高效率的随机逼近算法--Simultaneous Perturbation Stochastic Approximation(SPSA)算法,将SPSA算法作为一种快速局部优化方法和遗传算法的整体搜索策略结合起来,为翼型反设计提出了一种快速高效优化算法.并用该算法分别对NACA2412和NACA0016翼型进行了反设计,取得了令人满意的结果.
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| 关 键 词： | 遗传算法 反设计 随机逼近 梯度 |
| 文章编号： | 1005-2615(2007)02-0263-04 |
| 修稿时间： | 2005-10-26 |
Genetic Algorithms Based on Airfoil Inverse Design |
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| Li Xiujuan,Liao Wenhe,Liu Hao.Genetic Algorithms Based on Airfoil Inverse Design[J].Journal of Nanjing University of Aeronautics & Astronautics,2007,39(2):263-266. |
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| Authors: | Li Xiujuan Liao Wenhe Liu Hao |
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| Abstract: | Sometimes genetic algorithms(GAs) converge slowly and difficultly.Computing efficiency is very important in airfoil inverse design problems.In this paper the airfoils are expressed as non-uniform B-spline,the operators of GAs are designed,and the simultaneous perturbation stochastic approximation(SPSA) is introduced.SPSA is simple to be easily implemented in efficient stochastic approximation algorithm.As optimization algorithm,SPSA is used as an optimization algorithm to mix with overall searching strategy of GAs.A quickly convergent and highly efficient algorithm is used for solving airfoil inverse design problems.And the new algorithm is used for solving inverse design problems of NACA2412 and NACA0016 airfoils.Results are satisfied. |
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| Keywords: | genetic algorithms inverse design stochastic approximation gradient |
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