Paper Info
Title
Analysis Of Cross-Border E-Commerce Logistics Model Based On Embedded System And Genetic Algorithm
Abstract
Cross-border e-commerce is a challenge in the logistics sector because of this dynamic market. It means hiring sea and air cargo partners, customs brokers, warehousing operators, regional logistics partners, and all other stakeholders at the Operations Department. Refers to online transactions between cross-border e-commerce companies (retailers and brands) and consumers, both companies, often brands and wholesalers, or between two individuals. Using embedded system to design can achieve the balance of software and hardware.In solving combinatorial optimization problems, we often use genetic algorithm.In order to solve the practical problems, we need to consider both the software part and the hardware part.Genetic algorithm mainly simulates the evolution process of organisms through natural selection. On the one hand, it can solve some constrained problems, on the other hand, it can also optimize some unconstrained problems.In this study, based on genetic algorithm, we optimize the distribution efficiency in the real world, and propose the optimized algorithm and improve it.We have changed the parameters of the traditional genetic algorithm to realize the optimization of e-commerce. We can also see from the experimental results that we have achieved certain results.The improved genetic algorithm can play a certain role in the distribution process of e-commerce, improve the efficiency of transportation, and meet the requirements of reality.
Year
DOI
Venue
2021
10.1016/j.micpro.2021.103827
MICROPROCESSORS AND MICROSYSTEMS
Keywords
DocType
Volume
Cross-border e-commerce, Embedded system, Genetic algorithm, Logistics model
Journal
82
ISSN
Citations 
PageRank 
0141-9331
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Xijin He100.34
Shuxia Meng200.34
Juanjuan Liang300.34