A Hybrid Ant Colony Algorithm for Fresh Delivery Route Optimization Considering Quality Loss

DOI

10.2991/icmesd-19.2019.6How to use a DOI?

Keywords

Fresh product distribution, Vehicle routing problem, Quality loss, Hybrid AC algorithm.

Abstract

At present, the penetration rate of cold chain facilities and equipment in China is still relatively low. The purpose of this paper is to develop an optimal fresh food logistics distribution method on the premise that cold chain distribution cannot be meet. Considering the perishability and time dependence of fresh products, the optimization model of fresh distribution is established, which introduces the quality loss function and time penalty function on. And then, a hybrid ant colony algorithm by combining the 2-opt algorithm is designed, and the state transition rules and pheromone volatility coefficient are improved. Through the empirical study, the result shows that the proposed method has better performance than that of the ant colony optimization. Finally, the comparison with Simulation solution by Logware proves that this research provides an effective means to ensure fresh logistics distribution with low cost and high efficient.

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/).

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TY  - CONF
AU  - Xuan Zhao
AU  - Qing-Lie Wu
PY  - 2019/07
DA  - 2019/07
TI  - A Hybrid Ant Colony Algorithm for Fresh Delivery Route Optimization Considering Quality Loss
BT  - Proceedings of the 5th Annual International Conference on Management, Economics and Social Development (ICMESD 2019)
PB  - Atlantis Press
SP  - 37
EP  - 45
SN  - 2352-5428
UR  - https://doi.org/10.2991/icmesd-19.2019.6
DO  - 10.2991/icmesd-19.2019.6
ID  - Zhao2019/07
ER  -