Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/65364
Title: Reliability-based design optimization for flexible mechanism with particle swarm optimization and advanced extremum response surface method
Authors: Zhang, CY
Song, LK
Fei, CW
Hao, GP
Liu, LJ
Keywords: Advanced extremum response surface method
Artificial neural network
Flexible robot manipulator
Particle swarm optimization
Reliability-based design optimization
Issue Date: 2016
Source: Journal of Central South University (English Edition) ( 中南大學學報. 英文版), 2016, v. 23, no. 8, p. 2001-2007 How to cite?
Journal: Journal of Central South University (English Edition) ( 中南大學學報. 英文版) 
Abstract: To improve the computational efficiency of the reliability-based design optimization (RBDO) of flexible mechanism, particle swarm optimization-advanced extremum response surface method (PSO-AERSM) was proposed by integrating particle swarm optimization (PSO) algorithm and advanced extremum response surface method (AERSM). Firstly, the AERSM was developed and its mathematical model was established based on artificial neural network, and the PSO algorithm was investigated. And then the RBDO model of flexible mechanism was presented based on AERSM and PSO. Finally, regarding cross-sectional area as design variable, the reliability optimization of flexible mechanism was implemented subject to reliability degree and uncertainties based on the proposed approach. The optimization results show that the cross-section sizes obviously reduce by 22.96 mm2 while keeping reliability degree. Through the comparison of methods, it is demonstrated that the AERSM holds high computational efficiency while keeping computational precision for the RBDO of flexible mechanism, and PSO algorithm minimizes the response of the objective function. The efforts of this work provide a useful sight for the reliability optimization of flexible mechanism, and enrich and develop the reliability theory as well.
URI: http://hdl.handle.net/10397/65364
ISSN: 2095-2899
DOI: 10.1007/s11771-016-3257-z
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