A Comparison between Generic Algorithm and Particle Swarm Optimization

doi:10.1145/3429889.3430294

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	A Comparison between Generic Algorithm and Particle Swarm Optimization
	Yu, Yonghai; Yin, Shue
	2020-11-09
会议名称	2020 International Symposium on Artificial Intelligence in Medical Sciences, ISAIMS 2020
会议录名称	ACM International Conference Proceeding Series
页码	137-139
会议日期	September 11, 2020 - September 13, 2020
会议地点	Beijing, China
出版者	Association for Computing Machinery
摘要	We compare Generic Algorithm and Particle Swarm Optimization algorithm by several benchmark functions. The result indicates that Particle Swarm Optimization is better than Generic Algorithm in optimum value and searching speed. © 2020 ACM.
关键词	Computer programming Benchmark functions Generic algorithm Optimum value Particle swarm optimization algorithm Searching speed
DOI	10.1145/3429889.3430294
收录类别	EI
语种	英语
EI入藏号	20205209674815
EI主题词	Particle swarm optimization (PSO)
EI分类号	723 Computer Software, Data Handling and Applications ; 723.1 Computer Programming ; 921.5 Optimization Techniques
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/33421
专题	兰州财经大学
作者单位	Department of Information Engineering, Longqiao College of Lanzhou University of Finance and Economics, LanZhou City, GanSu Province, China
推荐引用方式 GB/T 7714	Yu, Yonghai,Yin, Shue. A Comparison between Generic Algorithm and Particle Swarm Optimization[C]:Association for Computing Machinery,2020:137-139.