南方科技大学知识苑(SUSTech KC): Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-Based Clustering for Many-Objective Optimization

题名	Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-Based Clustering for Many-Objective Optimization
作者	Takato Kinoshita 1; Naoki Masuyama 1; Yiping Liu 2; Yusuke Nojima 1; Hisao Ishibuchi3
发表日期	2023
DOI	10.1109/ACCESS.2023.3331747
发表期刊	IEEE Access 影响因子和分区
ISSN	2169-3536
卷号	11页码:126066-126086
关键词	Decomposition-based many-objective evolutionary optimization reference vector adaptation adaptive resonance theory
相关链接	[IEEE记录]
收录类别	SCI ; EI
学校署名	其他
WOS记录号	WOS:001107245500001
EI入藏号	20234815137522
EI主题词	Evolutionary algorithms ; Pareto principle ; Topology ; Vectors
EI分类号	Information Sources and Analysis:903.1 ; Algebra:921.1 ; Combinatorial Mathematics, Includes Graph Theory, Set Theory:921.4
来源库	IEEE
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10314513
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/609994
专题	工学院_计算机科学与工程系
作者单位	1.Graduate School of Informatics, Osaka Metropolitan University, Sakai-Shi, Osaka, Japan 2.College of Computer Science and Electronic Engineering, Hunan University, Hunan, China 3.Department of Computer Science and Engineering, Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Southern University of Science and Technology, Shenzhen, China
推荐引用方式 GB/T 7714	Takato Kinoshita,Naoki Masuyama,Yiping Liu,et al. Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-Based Clustering for Many-Objective Optimization[J]. IEEE Access,2023,11:126066-126086.
APA	Takato Kinoshita,Naoki Masuyama,Yiping Liu,Yusuke Nojima,&Hisao Ishibuchi.(2023).Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-Based Clustering for Many-Objective Optimization.IEEE Access,11,126066-126086.
MLA	Takato Kinoshita,et al."Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-Based Clustering for Many-Objective Optimization".IEEE Access 11(2023):126066-126086.