Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

Application Research on Location Selection of Logistics Distribution Center Based on Immune optimization algorithm

Authors
Qiang Song
Corresponding Author
Qiang Song
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.306How to use a DOI?
Keywords
Logistics distribution center;Immune optimization algorithm;Location selection
Abstract

With logistics cost as objective function, the immune optimization algorithm was proposed to optimize the location selection of logistics distribution center. Feasibility analysis was conducted on the logistics demand points of 31 cities in China. Results indicated that the programming of the optimization algorithm based on Matlab was simple, with quick computing speed. It can solve the location problems with time restrictions as well as the traditional location problems without time restrictions. Therefore, such new algorithm is more effective than the gravity approach to solve the location problem of logistics center.

Copyright
© 2017, 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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Volume Title
Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-331-9
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.306How to use a DOI?
Copyright
© 2017, 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  - Qiang Song
PY  - 2017/04
DA  - 2017/04
TI  - Application Research on Location Selection of Logistics Distribution Center Based on Immune optimization algorithm
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 1575
EP  - 1578
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.306
DO  - 10.2991/fmsmt-17.2017.306
ID  - Song2017/04
ER  -