Application of Particle Swarm Optimization in Cylinder Helical HGearH Multi-Objective Design

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Abstract:

Cylinder helical gGear is widely used in industry. Multi-objective optimization design of the component is often met in its different application sSituation. In this paper a novel multi-objective optimization method based on Particle Swarm Optimization (PSO) algorithm is designed for applying to solve this kind of problem. A paradigm depicted in the paper shows the algorithm is practical.

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Key Engineering Materials (Volumes 474-476)

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2229-2233

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April 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Rodolfo Dufo-Lopez, Jose L. Bernal-Agustin. Multi-objective design of PV wind diesel hydrogen battery systems. Renewable Energy, Vol. 33 (2008), pp.2559-2572.

DOI: 10.1016/j.renene.2008.02.027

Google Scholar

[2] J. Kennedy, R.C. Eberhart. Particle swarm optimization. In Proc. IEEE Int. conf. Neural Netw., vol. 4 (1995), p.1942-(1948).

Google Scholar

[3] Liu Jizhong, Lei Liangyu, Zhou Xiaojun. Nonlinear RF model based ultrasonic signal parameters estimation with PSO algorithm. Progress in Intelligence Computation and Application, Edited by Kang Lishan, Cai Zhihua, Yan Xuesong/China University of Geosciences Press, (2005).

Google Scholar