基于混沌-粒子群算法的柔性线缆装配序列规划技术

Translated title of the contribution: Cable Assembly Sequence Planning Based on Chaos-Particle Swarm Optimization

Xiao Dong Yang, Jian Hua Liu*, Jiang Tao Ma, Ying Feng Zhao, Nai Jing Lü

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

To solve the problem of automatic assembly sequence planning of flexible cables in complex electromechanical products, a new method was proposed for assembly sequence planning of flexible cables based on improved particle swarm optimization. Firstly, the constraint conditions of cable assembly were determined. On this basis, a mathematical model of cable assembly sequence planning was established with priority of cable assembly, cable length, diameter, bending radius and number of branches as comprehensive optimization objectives. Then the standard particle swarm optimization algorithm was discretized to make it suitable for assembly sequence planning. On this basis, the initialization of assembly sequence and the search strategy of the algorithm were improved respectively. Finally, the proposed algorithm was applied to the cable assembly sequence planning process of a certain type of satellite structure plate, verifying its feasibility and computational efficiency.

Translated title of the contributionCable Assembly Sequence Planning Based on Chaos-Particle Swarm Optimization
Original languageChinese (Traditional)
Pages (from-to)956-962
Number of pages7
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume40
Issue number9
DOIs
Publication statusPublished - 1 Sept 2020

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