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

Yanhua Huang and Liying Su

International Journal of Sustainable Development, 2025, vol. 28, issue 2/3, 322-339

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. (search for similar items in EconPapers)
Date: 2025
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