Particle Swarm Optimization for Cylinder Helical Gear Multi-Objective Design Problems

Abstract:

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The models for many problems in cylinder helical gear design are all multi-objective optimization. But there isn’t an effective algorithm for solving multi-objective optimization, and now the only method for it is changing multi-objective into one objective by weighted average. 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.

Info:

Periodical:

Edited by:

Yongping Zhang, Linhua Zhou and Elwin Mao

Pages:

216-221

DOI:

10.4028/www.scientific.net/AMM.109.216

Citation:

Y. B. Mo "Particle Swarm Optimization for Cylinder Helical Gear Multi-Objective Design Problems", Applied Mechanics and Materials, Vol. 109, pp. 216-221, 2012

Online since:

October 2011

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Price:

$35.00

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