Title: Modelling of optimal transportation route selection based on artificial bee colony algorithm

Authors: Honggang Liu; Peilin Zhang; Hua Wu

Addresses: School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, Hubei, China; Department of Air Transport and Delivery Guarantee, Air Force Logistics University, Xuzhou, Jiangsu, China ' School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, Hubei, China ' Department of Air Transport and Delivery Guarantee, Air Force Logistics University, Xuzhou, Jiangsu, China

Abstract: Optimising enterprise management and reducing logistics costs have become the common focus of Chinese logistics companies. This study mainly discusses the modelling of optimal transportation route selection based on artificial bee colony algorithm. In this paper, the designed bee colony algorithm is used to solve the cross-dock vehicle scheduling part in the mathematical model, and the cross-dock gate allocation and vehicle parking sequence scheduling schemes are obtained. Then, the scheduling scheme is used as the known condition of the path optimisation part, and the vehicle transportation path is optimised by using the bee colony algorithm, and the total cost is minimised in the process of mutual iteration. The research results show that the proportion of leading bees is 70% when the best calculated average value is obtained, and 90% when the variance of the calculated results is the smallest.

Keywords: artificial bee colony algorithm; transportation mode; optimal path; selection modelling.

DOI: 10.1504/IJGEI.2024.135264

International Journal of Global Energy Issues, 2024 Vol.46 No.1/2, pp.90 - 111

Received: 30 Dec 2021
Accepted: 27 Sep 2022
Published online: 03 Dec 2023 *

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