Title: Optimisation method of regional logistics delivery path based on ant colony algorithm

Authors: Yanhua Huang; Liying Su

Addresses: School of Management, Guangxi City Vocational University, Chongzuo City, Guangxi, 532199, China ' School of Management, Guangxi City Vocational University, Chongzuo City, Guangxi, 532199, China

Abstract: In order to effectively shorten the logistics delivery path and shorten the driving time, a regional logistics delivery path optimisation method based on ant colony optimisation algorithms is proposed. Considering the complexity of regional logistics delivery, the delivery area is divided based on factors such as customer location, demand, and time window information. Analyse the transportation conditions of regional logistics delivery paths, with the goal of minimising carbon emissions in the shortest possible time, and construct an optimisation function for regional logistics delivery paths. The ant colony optimisation algorithms are used to optimise the time and carbon emission parameters, solve the objective function, and finally obtain the optimal regional logistics delivery path. The experimental results show that using the proposed method can better solve the problem of regional logistics delivery path, and shorten the path and driving time of logistics delivery.

Keywords: ant colony algorithm; regional logistics delivery; path optimisation; driving time.

DOI: 10.1504/IJSD.2025.145812

International Journal of Sustainable Development, 2025 Vol.28 No.2/3, pp.322 - 339

Received: 26 May 2023
Accepted: 23 Oct 2023
Published online: 25 Apr 2025 *

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