MULTI-OBJECTIVE OPTIMIZATION ALGORITHM OF CROSS-BORDER E-COMMERCE SOCIAL TRAFFIC NETWORK BASED ON IMPROVED PARTICLE SWARM OPTIMIZATION

doi:10.12694/scpe.v25i6.3423

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	MULTI-OBJECTIVE OPTIMIZATION ALGORITHM OF CROSS-BORDER E-COMMERCE SOCIAL TRAFFIC NETWORK BASED ON IMPROVED PARTICLE SWARM OPTIMIZATION
	Jin, Wenjin 1; Li, Yingyu 2
	2024-10
发表期刊	SCALABLE COMPUTING-PRACTICE AND EXPERIENCE
卷号	25 期号:6 页码:5005-5020
摘要	The optimization algorithm known as Particle Swarm Optimization (PSO) is based on swarm intelligence and was created by modeling the foraging behavior of bird flocks. This study using the generalized regression neural network to improve particle swarm optimization (PSO) algorithm, proposed a target for cross-border electricity social network optimization algorithm PSO-PNNG, the simulation experiment in multiple real social network data environment and algorithm comparison, and the basic operation of genetic algorithm into the particle swarm algorithm, enhance the particle swarm optimization algorithm's performance, speed up the convergence speed. In this study, three social network datasets obtained by real reptiles were used to solve the proposed PSO-PNNG algorithm in a real social network data environment. The findings of the experiment indicate that the suggested multi-objective optimization algorithm for cross-border e-commerce social traffic network based on improved PSO has higher efficiency and accuracy than the traditional method.
关键词	Improved particle swarm optimization Cross-border e-commerce Social networks Multi-objective optimization
DOI	10.12694/scpe.v25i6.3423
收录类别	ESCI
ISSN	1895-1767
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Software Engineering
WOS记录号	WOS:001337737600047
出版者	UNIV VEST TIMISOARA, WEST UNIV TIMISOARA
原始文献类型	Article
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/38337
专题	兰州财经大学
通讯作者	Jin, Wenjin
作者单位	1.Yiwu Ind & Commercial Coll, Sch Entrepreneurship, Yiwu 322000, Zhejiang, Peoples R China; 2.Lanzhou Univ Finance & Econ, Sch Int Econ & Trade, Lanzhou 730000, Peoples R China
推荐引用方式 GB/T 7714	Jin, Wenjin,Li, Yingyu. MULTI-OBJECTIVE OPTIMIZATION ALGORITHM OF CROSS-BORDER E-COMMERCE SOCIAL TRAFFIC NETWORK BASED ON IMPROVED PARTICLE SWARM OPTIMIZATION[J]. SCALABLE COMPUTING-PRACTICE AND EXPERIENCE,2024,25(6):5005-5020.
APA	Jin, Wenjin,&Li, Yingyu.(2024).MULTI-OBJECTIVE OPTIMIZATION ALGORITHM OF CROSS-BORDER E-COMMERCE SOCIAL TRAFFIC NETWORK BASED ON IMPROVED PARTICLE SWARM OPTIMIZATION.SCALABLE COMPUTING-PRACTICE AND EXPERIENCE,25(6),5005-5020.
MLA	Jin, Wenjin,et al."MULTI-OBJECTIVE OPTIMIZATION ALGORITHM OF CROSS-BORDER E-COMMERCE SOCIAL TRAFFIC NETWORK BASED ON IMPROVED PARTICLE SWARM OPTIMIZATION".SCALABLE COMPUTING-PRACTICE AND EXPERIENCE 25.6(2024):5005-5020.