A Particle Swarm Algorithm for Assembly Sequence Planning

Yan Feng Xing; Yan Song Wang; Xiao Yu Zhao

doi:10.4028/www.scientific.net/AMR.97-101.3243

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 97-101A Particle Swarm Algorithm for Assembly Sequence...

A Particle Swarm Algorithm for Assembly Sequence Planning

Abstract:

A particle swarm algorithm is proposed to generate optimal assembly sequences for compliant assemblies. Firstly, the liaison graph and the adjacency matrix describe the geometry of the compliant assemblies. An assembly sequence is represented by a character string, whose length is the number of all parts. The conceptual tolerance analysis is used to evaluate feasible sequences. Thereafter, the particle swarm algorithm is presented to generate assembly sequences, in which the elite ratio is applied to improve optimization results. Finally a fender assembly is used to illustrate the algorithm of assembly sequence generation and optimization.

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Periodical:

Advanced Materials Research (Volumes 97-101)

Pages:

3243-3246

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.97-101.3243

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Online since:

March 2010

Authors:

Yan Feng Xing, Yan Song Wang, Xiao Yu Zhao

Keywords:

Assembly Sequence, Compliant Assembly, Optimization, Particle Swarm Algorithm

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