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

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Research on Intelligent Warehouse Order Splitting Problem Based on Adaptive Genetic Algorithm

Authors
Guike Liu1, *, Liying Li1
1College of Business Administration, Liaoning Technical University, Huludao, Liaoning, 125105, China
*Corresponding author. Email: 2416717508@qq.com
Corresponding Author
Guike Liu
Available Online 22 November 2024.
DOI
10.2991/978-94-6463-570-6_129How to use a DOI?
Keywords
intelligent warehouse; Order batching; Order splitting; Adaptive Genetic Algorithm
Abstract

With the rapid development of e-commerce, the order processing speed and efficiency of intelligent warehouses have become key factors for enterprise competitiveness. This article roughly divides the orders in intelligent warehouses into two categories. In response to the problem of manual sorting stations being idle in order sorting, an order splitting strategy based on adaptive genetic algorithm is studied, with the optimization goal of minimizing the total order completion time. The order splitting problem in intelligent warehousing systems is studied. The algorithm introduces crossover and mutation operators with adaptive transformation probabilities, and combines the taboo table in the taboo search algorithm to optimize and adjust the iterated population. Finally, the effectiveness of the proposed method is verified through simulation experiments.

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_129How 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  - Guike Liu
AU  - Liying Li
PY  - 2024
DA  - 2024/11/22
TI  - Research on Intelligent Warehouse Order Splitting Problem Based on Adaptive Genetic Algorithm
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 1288
EP  - 1297
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_129
DO  - 10.2991/978-94-6463-570-6_129
ID  - Liu2024
ER  -