Optimization of University Campus Takeout Joint Distribution Route Based on Clustering Tabu Search Algorithm
- DOI
- 10.2991/isemss-19.2019.82How to use a DOI?
- Keywords
- Campus takeout, Joint distribution, Clustering algorithm, Tabu search algorithm, Route optimization
- Abstract
With the rapid development of the Internet, takeout in campus also conform to the general trend of the times. However, because of the low efficiency and not timely delivery, the campus takeout distribution is facing great challenges. In this paper, according to the features of campus takeout. The mathematical model of joint distribution system optimization is established in campus with the target of reducing the average delivery time. Taking Shanxi University takeout distribution as an example, clustering algorithm is used to partition., then a tabu search is used to plan the route for a single area. With the optimization of the distribution system, the whole logistics rate ,customer satisfaction and business interests can be improved.
- Copyright
- © 2019, 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 - Shuaisha Sun PY - 2019/09 DA - 2019/09 TI - Optimization of University Campus Takeout Joint Distribution Route Based on Clustering Tabu Search Algorithm BT - Proceedings of the 2019 3rd International Seminar on Education, Management and Social Sciences (ISEMSS 2019) PB - Atlantis Press SP - 421 EP - 424 SN - 2352-5398 UR - https://doi.org/10.2991/isemss-19.2019.82 DO - 10.2991/isemss-19.2019.82 ID - Sun2019/09 ER -