Rural Logistics Distribution Center Location Selection Based on Improved Northern Goshawk Algorithm.

In order to promote the strategy of rural revitalization, the central government strongly supports the project of "express delivery into villages". As a key part of the new logistics industry, the reasonable location of logistics distribution centers is important to improve the efficiency of rural logistics location. In view of the disadvantages of traditional algorithms for site selection optimization, such as low accuracy, easy to fall into local optimization, and the goal of reducing the rural distribution distance and the total cost of rural distribution centers, we propose an improved northern goshawk algorithm. The improved algorithm is based on a randomized inverse strategy to enhance the algorithm's optimization capability, and a sinusoidal chaos search to improve the population diversity and optimize the rural logistics distribution center location problem. Simulation experiments show that this improved northern goshawk algorithm can effectively avoid the local optimum phenomenon of the traditional algorithm compared with the traditional whale optimization algorithm and sparrow search algorithm, and reduce the rural logistics distribution distance, total cost of distribution center and algorithm running time.