Multi-Objective Optimization Design for Gear Reducer Based on the Grey Particle Swarm Algorithm

Abstract:

Combining the thought of correlation degree analysis in the theory of grey, use of particle swarm algorithm, seeking it’s individual extreme value and global extreme value, and puts forward to the goal of mathematical model about more gray particle swarm optimization algorithm is presented, the algorithm is applied to speed reducer hoisting mechanism in the optimization of parameters. The optimization results show that the optimal parameters, than the original design of parameters for satisfactory results show the particle swarm optimization algorithm is used for gray hoisting mechanism optimized parameter design of gear reducer is effective and feasible.

• Periodical: Advanced Materials Research (Volumes 631-632)
• Pages: 1044-1050
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.631-632.1044
• Online since: January 2013
• Authors: Feng An, Si Cong Yuan, Wei Dong Yan, Dong Hong Wang
• Keywords: Gray Theory, Optimize Design, Particle Swarm Algorithm, Reducer

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