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 :
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