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 作者单位： Beijing University of Aeronautics and Astronautics, Beijing 100083,China 刊 名： 中国科学E辑(英文版) SCI 英文刊名： SCIENCE IN CHINA（SERIES E） 年，卷(期)： 2004 47(1) 分类号： V2 关键词： multiobjective optimization genetic algorithm deterministic optimization method【Multi-objective optimization design 】相关文章：
Interactive Multi-objective Optimization Design for the Pylon Structure of an Airplane04-30
A Hybrid Optimization Approach for SRM FINOCYL Grain Design04-28
Robust Airfoil Optimization with Multi-objective Estimation of Distribution Algorithm04-28
An Efficient Method for Reliability-based Multidisciplinary Design Optimization04-28
Optimization Design System for Composite Structures Based on Grid Technology04-27
Effect of Variable Selection on Multidisciplinary Design Optimization: a Flight Vehicle Example04-27
Geometric Optimization Design System Incorporating Hybrid GRECO-WM Scheme and Genetic Algorithm04-30
Apical-dominant particle swarm optimization04-26
Optimization of control parameters for petroleum waste composting04-28
Optimization of solid fermentation of cellulase from Trichoderma koningii04-25