Penalty-PSO Algorithm for Sequencing Mixed Model Assembly Line

DOI

10.2991/aiie-16.2016.7How to use a DOI?

Keywords

PSO; MMALSP; Penalty Strategy

Abstract

A mathematical model of sequencing problem which takes the minimum overload time as the optimization objective is estab-lished to solve mixed model assembly line sequencing problem in semi-closed station. A new penalty strategy that can eliminate the influence of the viscous effect which caused by the inherent de-fects of the reset strategy is proposed. A Penalty-PSO Algorithm based on penalty strategy has been designed for mixed model assembly line sequencing problem. Experimental results confirm the effectiveness and superiority of Penalty-PSO Algorithm in solving mixed model assembly sequencing problem.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chenglong Lu
AU  - Bo Zhu
AU  - Beibei Liu
AU  - Yuwei Wan
PY  - 2016/11
DA  - 2016/11
TI  - Penalty-PSO Algorithm for Sequencing Mixed Model Assembly Line
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 29
EP  - 32
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.7
DO  - 10.2991/aiie-16.2016.7
ID  - Lu2016/11
ER  -