A Novel Assembly Line Balancing Optimization Algorithm based on PSOSA

DOI

10.2991/iccmcee-15.2015.39How to use a DOI?

Keywords

assembly line balancing; optimization; PSOSA; hybrid optimization algorithm

Abstract

Assembly line is widely used in manufacturing system and assembly line balancing problem directly affects the productivity of the whole manufacturing system. In the actual situation of assembly process, optimizing a certain goal in the process of actual assembly individually may cause the neglect of relevance of balance goals, so a dual-objective optimization model is proposed. Although there are many ways to solve the assembly line balancing problem, most of them have a slow convergence speed and poor optimize result. A PSOSA hybrid optimization algorithm is put forward to improve the solution quality. The Metropolis criterion of SA algorithm is integrated into PSO algorithm to overcome the precocious phenomenon of PSO and long optimization time of SA. So the PSOSA hybrid optimization algorithm has the advantages of PSO and SA algorithm. The simulation results show the feasibility and effectiveness of the assembly line balancing optimization algorithm based on PSOSA algorithm.

Copyright

© 2015, 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  - Xiaomei Hu
AU  - Yubin Wang
AU  - YangYang Zhang
AU  - Xinran Shi
PY  - 2015/11
DA  - 2015/11
TI  - A Novel Assembly Line Balancing Optimization Algorithm based on PSOSA
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 206
EP  - 211
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.39
DO  - 10.2991/iccmcee-15.2015.39
ID  - Hu2015/11
ER  -