MEMS Relay Optimization Design Algorithm based on Particle Swarm Optimization

被引：0
|
作者：
Liu, Hanmin [1 ]
Wu, Qinghua [2 ,3 ]
Yan, Xuesong [1 ]
机构：
[1] Wuhan Inst Ship Bldg Technol, Wuhan 430050, Peoples R China
[2] Wuhan Inst Technol, Hubei Prov Key Lab Intelligent Robot, Wuhan 430073, Peoples R China
[3] China Univ Geosci, Sch Comp Sci, Wuhan 430074, Peoples R China
来源：
MICRO-NANO TECHNOLOGY XIV, PTS 1-4 | 2013年 / 562-565卷
关键词：
MEMS relay; particle swarm optimization; optimization design; relay volume;
D O I：
10.4028/www.scientific.net/KEM.562-565.155
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
Mathematical model of the MEMS relay volume involves in mechanical, electrical, magnetic, thermal, etc., the MEMS relay optimization design is a constrained nonlinear function optimization problem. In this paper, aim at the disadvantages of standard Particle Swarm Optimization algorithm like being trapped easily into a local optimum, we improves the standard PSO and proposes a new algorithm to solve the overcomes of the standard PSO. The new algorithm keeps not only the fast convergence speed characteristic of PSO, but effectively improves the capability of global searching as well. Experiment results reveal that the proposed algorithm can find better solutions when compared to other heuristic methods and is a powerful optimization algorithm for MEMS relay optimization design.
引用
收藏
页码：155 / +
页数：2
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