A Multi-objective Particle Swarm Optimization for Assembly Line Design with Station Paralleling

DOI

10.2991/meic-14.2014.163How to use a DOI?

Keywords

assembly line design; multi-objective optimization; partticle swarm optimization; station parallel;Pareto solutions

Abstract

To solve bi-objective assembly line design problem (ALDP) considering station paralleling and equipment selection, a Pareto-dominance-based method is presented. The two objectives are minimization of investment cost and maximization of availability of the assembly line. A multi-objective particle swarm optimization (MoPSO) is proposed to obtain a set of Pareto solutions through combining the techniques of crowded distance and external Pareto solution archive. The developed solution representation and relating updating mechanism of MoPSO ensures each particle to be a feasible solution. The performance of MoPSO was compared with that of NSGA-II against two cases. The comparison results show the effectiveness of the MoPSO. The computation results also indicate that the MoPSO is superior to the NSGA-II for the ALDP with respect to solution quality and computational efficiency.

Copyright

© 2014, 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/).

Download article (PDF)

TY  - CONF
AU  - Jianping Dou
AU  - Xia Zhao
PY  - 2014/11
DA  - 2014/11
TI  - A Multi-objective Particle Swarm Optimization for Assembly Line Design with Station Paralleling
BT  - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 728
EP  - 732
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-14.2014.163
DO  - 10.2991/meic-14.2014.163
ID  - Dou2014/11
ER  -