Assembly line balancing based on a genetic algorithm

DOI

10.2991/icaemt-15.2015.115How to use a DOI?

Keywords

assembly line balancing, genetic algorithm, optimization

Abstract

Assembly line balancing research is a key for the modern production. The implementation steps of genetic algorithm are proposed in this paper and it is used to optimize the assembly line balancing problems in engineering practice. The genetic algorithm operators based on feasible operating sequences of these job orders, which is guarantee the feasibility of the solution, and the optimal retention strategy is used to ensure the effective of the algorithm. Finally the assembly line reduce 2 work stations after calculation, and it makes each station load become more uniform.

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  - Xiumu Lin
AU  - Youjun Zhang
PY  - 2015/08
DA  - 2015/08
TI  - Assembly line balancing based on a genetic algorithm
BT  - Proceedings of the 2015 International Conference on Advanced Engineering Materials and Technology
PB  - Atlantis Press
SP  - 597
EP  - 600
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaemt-15.2015.115
DO  - 10.2991/icaemt-15.2015.115
ID  - Lin2015/08
ER  -