Research Article
Application of Path Planning Algorithms in Logistics Transportation - Optimization Based on Ant Colony Algorithm and Multi-Algorithm Comparison
@INPROCEEDINGS{10.4108/eai.22-5-2026.2365146, author={Bowen Hu}, title={Application of Path Planning Algorithms in Logistics Transportation - Optimization Based on Ant Colony Algorithm and Multi-Algorithm Comparison}, proceedings={Proceedings of the 4th International Conference on Image, Algorithms, and Artificial Intelligence, ICIAAI 2026, 22-24 May 2026, Singapore, Singapore}, publisher={EAI}, proceedings_a={ICIAAI}, year={2026}, month={8}, keywords={Path Planning; Logistics Transportation; Ant Colony Algorithm Application}, doi={10.4108/eai.22-5-2026.2365146} }- Bowen Hu
Year: 2026
Application of Path Planning Algorithms in Logistics Transportation - Optimization Based on Ant Colony Algorithm and Multi-Algorithm Comparison
ICIAAI
EAI
DOI: 10.4108/eai.22-5-2026.2365146
Abstract
With the development of e-commerce and the upgrading of the supply chain, the traditional method has been difficult to adapt to the dynamic, multi-objective, and large-scale logistics demand. This paper takes the ant colony algorithm as the core research method, comprehensively sorts out the mainstream algorithm types in this field, and focuses on the analysis of various optimization and improvement schemes of the ant colony algorithm, the adaptation characteristics of different logistics scenarios, and the core performance advantages. Combined with typical application cases and actual empirical data, the research compares the multi-dimensional application effects of the ant colony algorithm and the traditional graph search algorithm, and clarifies the application differences of various algorithms. At the same time, the latest research results in this field from 2022 to 2025 are integrated to provide a scientific and practical reference for the selection of path planning algorithms and engineering practice in various logistics scenarios.
