Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)

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An Improved Swarm Intelligence Optimizer for Transportation Path Planning of Cold Chain Products

Authors
Yanli You1, 2, *
1Shanghai Open University Jingan Branch, 601 Jiaozhou Road, Jingan District, Shanghai, 200040, China
2Shanghai Jingan District College, 601 Jiaozhou Road, Jingan District, Shanghai, 200040, China
*Corresponding author. Email: youlai2000@126.com
Corresponding Author
Yanli You
Available Online 22 November 2024.
DOI
10.2991/978-94-6463-570-6_108How to use a DOI?
Keywords
Cold chain logistics; Transportation; Artificial bee colony algorithm; Carbon emissions; Distribution
Abstract

With the development of fresh e-commerce, the problem of cold chain logistics transportation is gradually being studied by relevant researchers. However, there are issues such as high transportation costs and long transportation times in cold chain logistics transportation. This study designed a mathematical model for e-commerce cold chain logistics to address the aforementioned issues. By optimizing the order of distribution points, the model aims to reduce transportation costs and time during the cold chain product distribution process, while also reducing carbon emissions throughout the entire transportation process. On this basis, an improved artificial bee colony algorithm (IABC) was designed, and the selection strategy of the Grey Wolf Optimization (GWO) algorithm and the Artificial Fish Swarm (AFS) algorithm were introduced into the artificial bee colony algorithm, aiming to improve the convergence speed and accuracy of (ABC). Finally, the effectiveness of the algorithm designed in this study was demonstrated through a simulation algorithm.

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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Volume Title
Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
22 November 2024
ISBN
978-94-6463-570-6
ISSN
2352-5428
DOI
10.2991/978-94-6463-570-6_108How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Yanli You
PY  - 2024
DA  - 2024/11/22
TI  - An Improved Swarm Intelligence Optimizer for Transportation Path Planning of Cold Chain Products
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 1078
EP  - 1088
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_108
DO  - 10.2991/978-94-6463-570-6_108
ID  - You2024
ER  -