南方科技大学知识苑(SUSTech KC): Evolutionary Many-objective Optimization: Difficulties, Approaches, and Discussions

题名	Evolutionary Many-objective Optimization: Difficulties, Approaches, and Discussions
作者	Sato, Hiroyuki 1; Ishibuchi, Hisao2
通讯作者	Sato, Hiroyuki
发表日期	2023-03-01
DOI	10.1002/tee.23796
发表期刊	IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 影响因子和分区
ISSN	1931-4973
EISSN	1931-4981
卷号	18 期号:7页码:1048-1058
摘要	Population-based evolutionary algorithms are suitable for solving multi-objective optimization problems involving multiple conflicting objectives. This is because a set of well-distributed solutions can be obtained by a single run, which approximate the optimal tradeoff among the objectives. Over the past three decades, evolutionary multi-objective optimization has been intensively studied and used in various real-world applications. However, evolutionary multi-objective optimization faces various difficulties as the number of objectives increases. The simultaneous optimization of more than three objectives, which is called many-objective optimization, has attracted considerable research attention. This paper explains various difficulties in evolutionary many-objective optimization, reviews representative approaches, and discusses their effects and limitations. (c) 2023 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
关键词	Many-objective optimization evolutionary algorithms multi-objective optimization
相关链接	[来源记录]
收录类别	SCI ; EI
语种	英语
学校署名	其他
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000953032000001
出版者	WILEY
EI入藏号	20231213752908
EI主题词	Evolutionary algorithms
EI分类号	Optimization Techniques:921.5
来源库	Web of Science
引用统计	被引频次[WOS]：2
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/523973
专题	工学院_计算机科学与工程系
作者单位	1.Univ Electrocommun, Grad Sch Informat & Engn, Dept Informat, 1-5-1 Chofugaoka, Chofu, Tokyo 1828585, Japan 2.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Guangdong Prov Key Lab Brain Inspired Intelligent, 1088 Xueyuan Ave, Shenzhen 518055, Peoples R China
推荐引用方式 GB/T 7714	Sato, Hiroyuki,Ishibuchi, Hisao. Evolutionary Many-objective Optimization: Difficulties, Approaches, and Discussions[J]. IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING,2023,18(7):1048-1058.
APA	Sato, Hiroyuki,&Ishibuchi, Hisao.(2023).Evolutionary Many-objective Optimization: Difficulties, Approaches, and Discussions.IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING,18(7),1048-1058.
MLA	Sato, Hiroyuki,et al."Evolutionary Many-objective Optimization: Difficulties, Approaches, and Discussions".IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 18.7(2023):1048-1058.