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

Yuan Bin Mo

doi:10.4028/www.scientific.net/AMM.109.216

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Theoretical Study on Stability of the Separable Elliptic Ultrasonic Vibration Cutting Process
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Particle Swarm Optimization for Cylinder Helical Gear Multi-Objective Design Problems
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 109Particle Swarm Optimization for Cylinder Helical...

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

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volume 109)

Pages:

216-221

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.109.216

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Online since:

October 2011

Authors:

Yuan Bin Mo

Keywords:

Cylinder Helical Hgear, Multi-Objective Design, Particle Swarm Optimization Algorithm (PSO)

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