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

作　　者：An Weigang Li Weiji 

机构地区：[1]College of Aeronautics, Northwestern Polytechnical University, Xi ＇an 710072, China

出　　处：《Chinese Journal of Aeronautics》2007年第6期524-528,共5页中国航空学报（英文版）

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

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%.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%.

关 键 词：pylon structure multi-objective optimization algorithm interactive algorithm multi-objective particle swarm optimization neural network 

分 类 号：V22[航空宇航科学与技术—飞行器设计]