Title: Research on logistics distribution path analysis based on artificial intelligence algorithms

Authors: Cuiping Yao

Addresses: Shanghai Sipo Vocational and Technical College, 1408 Chengnan Road, Huinan town, Pudong New Area, Shanghai, 230019, China

Abstract: Logistics distribution path optimisation model design is the key to ensure the smooth flow of logistics distribution path network, the logistics distribution path optimisation is designed to improve the efficiency of logistics distribution, a logistics distribution path optimisation model is proposed based on artificial intelligence algorithm. A logistics distribution path search model based on rough set theory is established. Ant colony search method is used to design the artificial intelligence algorithm of logistics distribution path optimisation. Adaptive weighting method is used to extract and schedule the information of logistics distribution path, and the shortest path optimisation method is used to optimise the route planning of logistics distribution, which can reduce the path overhead and time cost of logistics distribution. The efficiency of logistics distribution is improved. The simulation results show that this method is used to construct the logistics distribution path model, which reduces the time cost and the road cost of the logistics distribution, and improves the throughput of the logistics distribution significantly.

Keywords: artificial intelligence algorithm; logistics distribution; ant colony search; shortest path optimisation.

DOI: 10.1504/IJBM.2020.105625

International Journal of Biometrics, 2020 Vol.12 No.1, pp.100 - 108

Received: 02 Mar 2019
Accepted: 12 Apr 2019

Published online: 06 Mar 2020 *

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