Evaluation of Economic Development Data Management System Based on Particle Swarm Optimization Algorithm

doi:10.1109/ICDSNS58469.2023.10245900

	Evaluation of Economic Development Data Management System Based on Particle Swarm Optimization Algorithm
	Xu, Zhengwei 1; Kuang, Da2
	2023
会议名称	2023 International Conference on Data Science and Network Security, ICDSNS 2023
会议录名称	2023 International Conference on Data Science and Network Security, ICDSNS 2023
会议日期	July 28, 2023 - July 29, 2023
会议地点	Tiptur, India
出版者	Institute of Electrical and Electronics Engineers Inc.
摘要	With the increasing speed of economic development, data management systems for analyzing economic data emerge in endlessly. However, current economic development data management systems generally have problems of low computational efficiency and low accuracy, which are due to their lack of appropriate and advanced computational methods. In response to these issues, this paper proposed using particle swarm optimization algorithm to optimize and improve the economic development data management system, and designed relevant comparative experiments. The experimental results showed that in traditional economic development data management systems, the speed of system calculation data varied with the amount of data. By starting from the 50th data, the calculation speed of the economic development data management system was: 2.17/S, 2.03/S, 1.88/S, 1.64/S, 1.39/S, and 1.27/S; the calculation speed of the economic development data management system based on particle swarm optimization algorithm was significantly more stable, with the calculation speed basically controlled between 0.6/S-0.7/S. It could be seen that particle swarm optimization algorithm could effectively promote the speed of economic development data management system calculation data and improve efficiency. This article hoped that the application of particle swarm optimization algorithm in economic development data management system could effectively promote the efficiency and accuracy of economic development data management system calculation data, so as to achieve the prediction of economic development trends and data management. This article provided reference value for the optimization of economic development data management systems, and contributed to achieving sustainable economic development. © 2023 IEEE.
关键词	Computational efficiency Economic and social effects Economics Particle swarm optimization (PSO) Regional planning 'current Calculation data Calculation speed Comparative experiments Data management system Economic data Economic development Particle swarm optimization algorithm Regional economy Urban regional economy
DOI	10.1109/ICDSNS58469.2023.10245900
收录类别	EI
语种	英语
EI入藏号	20234214880767
EI主题词	Information management
EI分类号	403.2 Regional Planning and Development ; 723 Computer Software, Data Handling and Applications ; 921.5 Optimization Techniques ; 971 Social Sciences
原始文献类型	Conference article (CA)
文献类型	会议论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/35361
专题	马克思主义学院
通讯作者	Kuang, Da
作者单位	1.School of Marxism, Huazhong University of Science and Technology, Hubei Province, Wuhan, China; 2.School of Marxism Lanzhou University of Finance and Economics, Lanzhou, China
通讯作者单位	马克思主义学院
推荐引用方式 GB/T 7714	Xu, Zhengwei,Kuang, Da. Evaluation of Economic Development Data Management System Based on Particle Swarm Optimization Algorithm[C]:Institute of Electrical and Electronics Engineers Inc.,2023.