Affiliations: [a] Vocational and Technical College, Anshan Normal University, Anshan, Liaoning, China
| [b] School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China
| [c]
Marine Technology Society, Columbia, MD, USA
Correspondence:
[*]
Corresponding author. Chang Yong, Vocational and Technical College, Anshan Normal University, Anshan 114001, Liaoning, China. E-mail: 915030820@qq.com.
Abstract: Under the influence of COVID-19, the efficiency of e-commerce distribution in public health emergencies has become the key to ensuring people’s normal lives. With the development of e-commerce, the location of distribution center is becoming more and more important, which is related to the healthy and long-term development of e-commerce. However, the traditional location efficiency is low, which cannot play an immediate role in the development of e-commerce. This paper combines weiszfeld algorithm, improves particle swarm optimization algorithm, improves the operation efficiency and location accuracy, and finally gets a relatively satisfactory result. Results data analysis shows that the improvement and integration of the algorithm is reasonable and effective. This method has important reference value for e-commerce location.
Keywords: E-commerce, center location, particle swarm optimization, Weiszfeld
algorithm, COVID-19
