Optimization of Cold Chain Logistics Distribution Pathways Considering Carbon Emission Costs

DOI

10.2991/978-94-6463-570-6_110How to use a DOI?

Keywords

Cold Chain Logistics; Route Optimization; Genetic Algorithm; Carbon Emissions

Abstract

Based on the “dual carbon” strategic goal, this paper takes the optimization problem of cold chain logistics vehicle paths as the research object, considers carbon emission costs into the path optimization problem, and establishes a cold chain logistics distribution model with the goal of minimizing the total cost. At the same time, an improved ant colony algorithm was designed from two aspects: fitness function and local search strategy, in response to the disadvantage of traditional genetic algorithms easily falling into local optima. Finally, the effectiveness of the model and algorithm was verified through simulation experiments and algorithm comparisons, providing reference for enterprises to improve the economic benefits and energy conservation and emission reduction of cold chain logistics.

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  - Feixiang Pan
AU  - Min Huang
PY  - 2024
DA  - 2024/11/22
TI  - Optimization of Cold Chain Logistics Distribution Pathways Considering Carbon Emission Costs
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 1098
EP  - 1105
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_110
DO  - 10.2991/978-94-6463-570-6_110
ID  - Pan2024
ER  -