Affiliation:
1. School of Economics and Management, Wuhan Railway Vocational College of Technology, Wuhan, Hubei/ China
Abstract
In order to solve the difficulties in logistics distribution in remote rural areas, a systematic planning of agricultural logistics distribution for UAV distribution is carried out. Considering the limit of cruising range, from the perspective of green routing, a multi-package distribution path planning model of UAV agricultural logistics considering the limitation of cruising range of UAV is established with the goal of minimizing total energy consumption. According to the actual number of UAVs, the task allocation is carried out, and a mixed integer nonlinear programming model of task allocation is established. The improved ant colony algorithm is used to solve the problem. The core idea is to exchange the pheromones of each ant subgroup, and then use the insertion-based heuristic method and crossover and inversion operations to optimize the path. For the case of remote areas in western China, the agricultural UAV distribution path planning considering the mileage limit is conducive to saving resources and obtaining the lowest energy consumption distribution path ; for the problem of agricultural logistics distribution path planning considering the mileage limit of UAV, the improved ant colony algorithm designed in this study has higher solution accuracy than the traditional ant colony algorithm.