Artificial Hummingbird Algorithm for Dynamic Partition of Logistics Network
Bochen Zhang, Chenyang Zhang, Xinjie Shi · 2023
With the rapid development of modern information technology, various advanced logistics distribution models and strategies have been proposed. All related stake holders have paid much attention to city express delivery. Achieving the ideal supply and demand matching of logistics resources is one of the important goals in smart cities. A dynamic logistics distribution network model based on Artificial Hummingbird Algorithm (AHA) is proposed in this paper. Dynamic Partition Network (DPN) can effectively divide a distribution area such that the total distribution consumption is minimized. It is a novel logistics region partition framework that can develop the optimal strategy for each distribution task. AHA is improved with a new coding method and the idea of the Grey Wolf Optimizer, which improves the performance of the model solver and speeds up the output of a better distribution scheme. Extensive experiments on real-world logistics and distribution tasks show that the dynamic division model is able to make substantial improvement in dividing distribution areas over existing technologies.