Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)

<Previous Article In Volume
Next Article In Volume>

Research on Green Vehicle Routing Based on Hybrid Genetic Algorithm

Authors
Liying Li1, Jiaqi Shen1, *
1Liaoning University of Engineering and Technology, School of Business Administration, Huludao, Liaoning, 125105, China
*Corresponding author. Email: 473665702@qq.com
Corresponding Author
Jiaqi Shen
Available Online 16 September 2025.
DOI
10.2991/978-94-6463-845-5_16How to use a DOI?
Keywords
Cold Chain Logistics; Green Vehicle Routing; Genetic Algorithm; Taboo Search Algorithm
Abstract

In order to solve the green path planning problem in cold chain transportation, this paper uses the freshness decay model to accurately assess the loss of cold chain products in the distribution process and at the same time comprehensively analyzes the impact of multiple factors such as vehicle load and driving speed on fuel consumption and carbon emission efficiency, so as to establish an accurate calculation method for fuel consumption and carbon emission. In addition, the relationship between delivery time and customer satisfaction is discussed in detail, and a customer satisfaction evaluation function is established based on this. And a hybrid algorithm combining the advantages of forbidden search and genetic algorithm is developed to optimize the solution. The balance of dual objectives is brilliantly realized through the arithmetic simulation verification. The dual-objective model constructed in this paper refers to the equilibrium between the minimum cost and the maximum customer satisfaction in the distribution process.

Copyright
© 2025 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)
Series
Atlantis Highlights in Economics, Business and Management
Publication Date
16 September 2025
ISBN
978-94-6463-845-5
ISSN
2667-1271
DOI
10.2991/978-94-6463-845-5_16How to use a DOI?
Copyright
© 2025 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  - Liying Li
AU  - Jiaqi Shen
PY  - 2025
DA  - 2025/09/16
TI  - Research on Green Vehicle Routing Based on Hybrid Genetic Algorithm
BT  - Proceedings of the 2025 6th International Conference on Management Science and Engineering Management (ICMSEM 2025)
PB  - Atlantis Press
SP  - 138
EP  - 149
SN  - 2667-1271
UR  - https://doi.org/10.2991/978-94-6463-845-5_16
DO  - 10.2991/978-94-6463-845-5_16
ID  - Li2025
ER  -