Multi-objective optimization design of airfoil and wing
To extend available monoobjective optimization methods to multiobjective and multidisciplinary optimization, the construction of a suitable resultant objective function(in deterministic method-DM) or a fitness function(in genetic algorithm-GA) is important. An objective function combination method (OFCM) of constructing such a function for constrained optimization problems is suggested. How to use both deterministic and genetic algorithms to biobjective and bidisciplinary optimal design of high performance airfoils and wings is discussed. Numerical results in both 2D (airfoil) and 3D (wing) cases show that the present method can be used to optimaize different kinds of initial airfoils and wings. The performance of optimized shape is improved significantly. The method is successful and effective.
作 者： ZHU Ziqiang FU Hongyan YU Rixin LIU Jie 作者單位： Beijing University of Aeronautics and Astronautics, Beijing 100083,China 刊 名： 中國科學(xué)E輯(英文版) SCI 英文刊名： SCIENCE IN CHINA（SERIES E） 年，卷(期)： 2004 47(1) 分類號(hào)： V2 關(guān)鍵詞： multiobjective optimization genetic algorithm deterministic optimization method【Multi-objective optimization design 】相關(guān)文章：
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