Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

Study on Logistics Center Location Decision Model Based on Improved Genetic Algorithm

Authors
Shujing Liu
Corresponding Author
Shujing Liu
Available Online December 2016.
DOI
10.2991/iceeecs-16.2016.232How to use a DOI?
Keywords
Logistics center; Genetic algorithm; Location model
Abstract

In terms of analysis and design of logistics system, location logistics centers often need to be supported by modeling or quantitative methods. There are many ways to solve this problem, but when the scale of the problem is relatively large, these traditional methods will encounter difficulties to some extent. This paper proposes the improved genetic algorithm to solve this issue, and combined with the case model to obtain the solution of the 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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
10.2991/iceeecs-16.2016.232
ISSN
2352-538X
DOI
10.2991/iceeecs-16.2016.232How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Shujing Liu
PY  - 2016/12
DA  - 2016/12
TI  - Study on Logistics Center Location Decision Model Based on Improved Genetic Algorithm
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 1200
EP  - 1204
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.232
DO  - 10.2991/iceeecs-16.2016.232
ID  - Liu2016/12
ER  -