南方科技大学知识苑(SUSTech KC): Contribution-Based Cooperative Co-Evolution With Adaptive Population Diversity for Large-Scale Global Optimization [Research Frontier]

题名	Contribution-Based Cooperative Co-Evolution With Adaptive Population Diversity for Large-Scale Global Optimization [Research Frontier]
作者	Ming Yang 1; Jie Gao 1; Aimin Zhou 2; Changhe Li 1; Xin Yao3
发表日期	2023-08
DOI	10.1109/MCI.2023.3277772
发表期刊	IEEE Computational Intelligence Magazine 影响因子和分区
ISSN	1556-6048
卷号	18 期号:3页码:56-68
关键词	Uniform resource locators Source coding Sociology Tutorials Evolutionary computation Benchmark testing Statistics Large scale integration Cooperative systems
相关链接	[IEEE记录]
收录类别	SCI ; EI
学校署名	其他
WOS记录号	WOS:001033536600011
EI入藏号	20233114461243
EI主题词	Global optimization
EI分类号	Optimization Techniques:921.5
来源库	IEEE
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10188448
引用统计	被引频次[WOS]：1
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/553265
专题	南方科技大学
作者单位	1.China University of Geosciences, CHINA 2.East China Normal University, CHINA 3.Southern University of Science and Technology, CHINA
推荐引用方式 GB/T 7714	Ming Yang,Jie Gao,Aimin Zhou,et al. Contribution-Based Cooperative Co-Evolution With Adaptive Population Diversity for Large-Scale Global Optimization [Research Frontier][J]. IEEE Computational Intelligence Magazine,2023,18(3):56-68.
APA	Ming Yang,Jie Gao,Aimin Zhou,Changhe Li,&Xin Yao.(2023).Contribution-Based Cooperative Co-Evolution With Adaptive Population Diversity for Large-Scale Global Optimization [Research Frontier].IEEE Computational Intelligence Magazine,18(3),56-68.
MLA	Ming Yang,et al."Contribution-Based Cooperative Co-Evolution With Adaptive Population Diversity for Large-Scale Global Optimization [Research Frontier]".IEEE Computational Intelligence Magazine 18.3(2023):56-68.