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

• Main Authors: Chen, Xiaojuan, Lei, Fei
• Format: Conference Proceeding
• Language: English
• Published: SPIE 04.09.2024
• ISBN: 1510682597; 9781510682597
• ISSN: 0277-786X
• DOI: 10.1117/12.3040208

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.