基于WPA的农业运输车辆路径优化模型研究  

Optimization Model of Agricultural Transport Vehicle Path Based on WPA

作　　者：李慧[1] Li Hui(Wuhan Institute of Shipbuilding Technology,Wuhan 430050,China)

机构地区：[1]武汉船舶职业技术学院,武汉430050

出　　处：《农机化研究》2025年第6期252-257,共6页Journal of Agricultural Mechanization Research

基　　金：2023年全国高校、职业院校物流教改教研项目(JZW2023226)。

摘　　要：农业运输车辆路径优化是农业物流领域的关键问题之一。为了实现农产品运输配送成本和碳排放量低等问题,提出了一种基于狼群算法(Wolf Pack Algorithm,WPA)的农业运输车辆路径优化模型,将农业运输车辆路径优化问题建模为一种多目标优化问题。以最小化总行驶距离和最小化运输时间为研究目标,通过定义适应度函数,并结合狼群算法的搜索策略,实现了农业运输车辆路径的优化。针对黑龙江某农场水稻收获运输配送问题的实际需要,采用所提出的WPA优化模型完成了水稻运输车辆路径方案的优化,并与传统优化方法进行对比,结果表明:基于狼群算法的路径优化模型在农业配送总成本上平均节省了7.97%,碳排放量上平均降低了6.88%。优化后的路径方案可以显著缩短运输距离和时间,提高了农业物流的效率,并最大限度地利用运输资源。Agricultural transport vehicle path optimisation is one of the key problems in the field of agricultural logistics.In order to achieve problems such as low cost and carbon emission of agricultural transport and distribution,a model for agricultural transport vehicle path optimisation based on the Wolf Pack Algorithm(WPA)was be proposed,which modelled the agricultural transport vehicle path optimisation problem as a multi-objective optimisation problem,including minimising the total distance travelled and minimising the transport time.By defining the fitness function and combining the search strategy of the Wolf Pack Algorithm,the optimization of the path of agricultural transport vehicles was achieved.Finally,for the practical needs of the rice harvest transport distribution problem in a farm in Heilongjiang,the WPA optimisation model proposed in this paper was used to complete the optimisation of the rice transport vehicle path scheme.By comparing with the traditional optimisation method,the path optimisation model based on the Wolf Pack Algorithm saved an average of 7.97%in total agricultural distribution costs and reduced carbon emissions by an average of 6.88%.The optimised route scheme can significantly reduce transport distance and time,improve the efficiency of agricultural logistics and maximise the use of transport resources.

关 键 词：农业运输车 路径规划 狼群算法 多目标优化 适应度函数 

分 类 号：S232.4[农业科学—农业机械化工程]