Design and implementation of intelligent logistics path information system based on improved genetic algorithm

Xiaojuan Chen; Fei Lei

doi:10.1117/12.3040208

4 September 2024 Design and implementation of intelligent logistics path information system based on improved genetic algorithm

Xiaojuan Chen, Fei Lei

Author Affiliations +

Proceedings Volume 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024); 1325937 (2024) https://doi.org/10.1117/12.3040208
Event: Fourth International Conference on Automation Control, Algorithm, and Intelligent Bionics (ICAIB 2024), 2024, Yinchuan, China

Abstract

Intelligent logistics path information system based on improved genetic algorithm aims to improve the efficiencyandaccuracy of the algorithm by considering various constraints such as distance, and delivery time, etc. The systemalsouses Python programming language for data processing, operation and visualisation of the improved genetic algorithm, using logistics path data information to optimise the path planning of logistics vehicles to significantly improve transport efficiency and reduce logistics costs for the purpose of logistics enterprises. The system also uses Python programming language for data processing, operation and visualisation of the improved genetic algorithm to optimise the path planning of logistics vehicles by using logistics path data information, which substantially improves the transport efficiency and reduces the logistics cost purpose for logistics enterprises.

Citation Download Citation

Xiaojuan Chen and Fei Lei "Design and implementation of intelligent logistics path information system based on improved genetic algorithm", Proc. SPIE 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024), 1325937 (4 September 2024); https://doi.org/10.1117/12.3040208

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