DocumentCode
3421592
Title
Improved adaptive leap particle swarm algorithm dynamic optimization method against electromechanical coupling system
Author
Sun Yan ; Zhao Weiguo ; Li Qiang ; Wu Jianxin
Author_Institution
Coll. of Mech. Eng., Inner Mongolia Univ. of Technol., Hohhot, China
Volume
3
fYear
2010
fDate
25-27 June 2010
Abstract
Dynamic optimization of electromechanical coupling system is a multi-subject problem on mechanics theory. The optimization of such kind problem is studied. Particle swarm optimization (PSO) is introduced. In order to resolve the insufficiency, a new kind of adaptive leap particle swarm optimization (ALPSO) is presented and the astringency analysis is finished. Finally, ALPSO is used to optimize electromechanical coupling reshape machine tool principal axis system. The results of application example proved that practical optimization parameters can be obtained in limited time by the method, and it is a kind of effective way to solve such kind of problem.
Keywords
couplings; dynamic programming; machine tools; particle swarm optimisation; adaptive leap particle swarm optimization; astringency analysis; dynamic optimization; electromechanical coupling reshape machine tool principal axis system; electromechanical coupling system; mechanics theory; multisubject problem; Algorithm design and analysis; Birds; Design engineering; Educational institutions; Evolutionary computation; Heuristic algorithms; Marine animals; Mechanical engineering; Optimization methods; Particle swarm optimization; Dynamic optimization; Electromechanical coupling system; Particle swarm algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location
Qinhuangdao
Print_ISBN
978-1-4244-7164-5
Electronic_ISBN
978-1-4244-7164-5
Type
conf
DOI
10.1109/ICCDA.2010.5541013
Filename
5541013
Link To Document