Research on Cold Chain Logistics Distribution Path Based on Hybrid ant Colony Algorithm with Particle Swarms

DOI

10.2991/978-94-6463-570-6_113How to use a DOI?

Keywords

Cold chain logistics; Path optimization; Customer Satisfaction; Fuzzy time window; Ant colony algorithm

Abstract

In order to solve the problems of high distribution cost and relatively low distribution satisfaction in the fresh cold chain logistics industry, it is proposed to calculate the customer satisfaction according to the fuzzy time window function, analyze the cost factors, and construct the distribution path model with the goal of minimizing the total distribution cost. Aiming at the shortcomings of the ant colony algorithm, which has slow convergence speed and easily falls into local optimum, according to the characteristics of synergy among the particles of particle swarm algorithm, the tournament strategy can increase the characteristics of random perturbation, and combining with the characteristics of ant colony algorithm which utilizes pheromone-enhanced tracing, the particle swarm-based hybrid ant colony algorithm is constructed to improve the model’s solving performance. Finally, taking the collected data as an example, the model is constructed for solving, and the solved optimal distribution program effectively reduces the distribution cost while obtaining high customer satisfaction, which is of some significance for improving the level of distribution operations.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jiancheng Huang
AU  - Jun Wan
AU  - Xue Wang
PY  - 2024
DA  - 2024/11/22
TI  - Research on Cold Chain Logistics Distribution Path Based on Hybrid ant Colony Algorithm with Particle Swarms
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 1128
EP  - 1136
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_113
DO  - 10.2991/978-94-6463-570-6_113
ID  - Huang2024
ER  -