ChengZhang LiangThis email address is being protected from spambots. You need JavaScript enabled to view it. and WenSheng Li
Jiangmen Polytechnic, Jiangmen City, Guangdong Province, China
Received: February 8, 2025 Accepted: June 25, 2025 Publication Date: July 26, 2025
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
Logistics vehicle delivery path planning has problems such as incomplete consideration of path planning, resulting in high delivery costs and low delivery efficiency. Therefore, a logistics vehicle delivery path planning method based on the immune clone algorithm was studied. Firstly, for time window constraints and road congestion status, a mathematical model for distribution paths is constructed based on capacity constraints. Then, a penalty function is introduced to calculate the penalty cost value and determine the cost factors of path planning. Finally, the immune clone algorithm is introduced to initialize the planned antigen, generate an antibody population, determine the initial path, introduce a matching algorithm for optimization, and assign fitness values to determine the optimal solution of the path to achieve path planning. The results show that the delivery error of the proposed method is less than 0.5%, the cost is 1181 RMB, and the delivery efficiency is higher than 99%. This method can improve the effectiveness of logistics vehicle delivery path planning.
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