Interactive Multi-objective Optimization Design for the Pylon Structure of an Airplane

作     者：An Weigang Li Weiji 

作者机构：College of Aeronautics Northwestern Polytechnical University Xi ＇an 710072 China 

基　　金：Foundation item: National Natural Science Foundation of China (10377015) 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2007年第20卷第6期

页      码：524-528页

摘      要：The pylon structure of an airplane is very complex, and its high-fidelity analysis is quite time-consuming. If posterior preference optimization algorithm is used to solve this problem, the huge time consumption will be unacceptable in engineering practice due to the large amount of evaluation needed for the algorithm. So, a new interactive optimization algorithm-interactive multi-objective particle swarm optimization （IMOPSO） is presented. IMOPSO is efficient, simple and operable. The decision-maker can expediently determine the accurate preference in IMOPSO. IMOPSO is used to perform the pylon structure optimization design of an airplane, and a satisfactory design is achieved after only 12 generations of IMOPSO evolutions. Compared with original design, the maximum displacement of the satisfactory design is reduced, and the mass of the satisfactory design is decreased for 22%.

主 题 词：pylon structure multi-objective optimization algorithm interactive algorithm multi-objective particle swarm optimization neural network 

学科分类：08[工学] 082501[082501] 0802[工学-机械学] 0825[工学-环境科学与工程类] 0801[工学-力学类] 

核心收录：

D　O　I：10.1016/S1000-9361(07)60077-6

馆 藏 号：203753936...