Study on the Optimization of Perishable Goods Logistics Network Based on the Particle Swarm Algorithms

DOI

10.2991/emle-18.2018.134How to use a DOI?

Keywords

perishable goods; particle swarm algorithm; time factor

Abstract

During the purchase and transport planning of perishable goods, what we should consider shall not only include purchase cost, transport cost, but also time cost. In most cases, time cost is even a decisive factor. In this article, authors create a mathematical model on the basis of particle swarm algorithms in response to a kind of typical perishable goods purchase, discussing a scheme to optimize the perishable goods logistics network.

Copyright

© 2018, 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  - Liang Ruiwei
AU  - Yuan Shijun
PY  - 2018/12
DA  - 2018/12
TI  - Study on the Optimization of Perishable Goods Logistics Network Based on the Particle Swarm Algorithms
BT  - Proceedings of the 4th International Conference on Economics, Management, Law and Education (EMLE 2018)
PB  - Atlantis Press
SP  - 711
EP  - 714
SN  - 2352-5428
UR  - https://doi.org/10.2991/emle-18.2018.134
DO  - 10.2991/emle-18.2018.134
ID  - Ruiwei2018/12
ER  -