Research on the Optimization of the Distribution Path at the End of the Last Mile Logistics

DOI

10.2991/978-94-6463-570-6_75How to use a DOI?

Keywords

path optimization; logistics and distribution; green logistics; Genetic algorithms

Abstract

This paper models the path selection in the logistics distribution process, obtains different paths in the process of vehicle transportation through genetic algorithm, and analyzes the shortest choice of different paths.

The distance of the path, the selection of the path should fully consider the customer and other factors, and then through MATLAB simulation to select the distribution path, the experimental results show that the use of the legacy.

The transmission algorithm selects the transportation path, which can reduce the corresponding carbon emissions and realize the greening of transportation.

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  - Xiangyu Zhang
AU  - Tongji Yang
PY  - 2024
DA  - 2024/11/22
TI  - Research on the Optimization of the Distribution Path at the End of the Last Mile Logistics
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 759
EP  - 770
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_75
DO  - 10.2991/978-94-6463-570-6_75
ID  - Zhang2024
ER  -