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Improved adaptive leap particle swarm algorithm dynamic optimization method against electromechanical coupling system

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4 Author(s)
Sun Yan ; Coll. of Mech. Eng., Inner Mongolia Univ. of Technol., Hohhot, China ; Zhao Weiguo ; Li Qiang ; Wu Jianxin

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.

Published in:

Computer Design and Applications (ICCDA), 2010 International Conference on  (Volume:3 )

Date of Conference:

25-27 June 2010

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