中文版 | English
Title

Evolutionary Large-Scale Multi-Objective Optimization: A Survey

Author
Corresponding AuthorZhang,Xingyi
Publication Years
2022-11-01
DOI
Source Title
ISSN
0360-0300
EISSN
1557-7341
Volume54Issue:8
Abstract
Multi-objective evolutionary algorithms (MOEAs) have shown promising performance in solving various optimization problems, but their performance may deteriorate drastically when tackling problems containing a large number of decision variables. In recent years, much effort been devoted to addressing the challenges brought by large-scale multi-objective optimization problems. This article presents a comprehensive survey of stat-of-the-art MOEAs for solving large-scale multi-objective optimization problems. We start with a categorization of these MOEAs into decision variable grouping based, decision space reduction based, and novel search strategy based MOEAs, discussing their strengths and weaknesses. Then, we review the benchmark problems for performance assessment and a few important and emerging applications of MOEAs for large-scale multi-objective optimization. Last, we discuss some remaining challenges and future research directions of evolutionary large-scale multi-objective optimization.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Others
Funding Project
National Key R&D Program of China[2018AAA0100100] ; National Natural Science Foundation of China[61822301,61876123,61906001,61906081,61903178,"U20A20306"] ; Hong Kong Scholars Program[XJ2019035] ; Anhui Provincial Natural Science Foundation[1908085QF271] ; Collaborative Innovation Program of Anhui[GXXT-2020-051] ; Research Grants Council of the Hong Kong Special Administrative Region["PolyU11202418","PolyU11209219","IEC\\NSFC\\170279"]
WOS Research Area
Computer Science
WOS Subject
Computer Science, Theory & Methods
WOS Accession No
WOS:000705073600018
Publisher
ESI Research Field
COMPUTER SCIENCE
Scopus EID
2-s2.0-85116647007
Data Source
Scopus
Citation statistics
Cited Times [WOS]:2
Document TypeJournal Article
Identifierhttps://kc.sustech.edu.cn/handle/2SGJ60CL/253961
DepartmentSouthern University of Science and Technology
Affiliation
1.Anhui University,Hefei,China
2.Southern University of Science and Technology,Shenzhen,China
3.The Hong Kong Polytechnic University,Hong Kong,Hong Kong
4.University of Surrey,Guildford,United Kingdom
Recommended Citation
GB/T 7714
Tian,Ye,Si,Langchun,Zhang,Xingyi,et al. Evolutionary Large-Scale Multi-Objective Optimization: A Survey[J]. ACM Computing Surveys,2022,54(8).
APA
Tian,Ye.,Si,Langchun.,Zhang,Xingyi.,Cheng,Ran.,He,Cheng.,...&Jin,Yaochu.(2022).Evolutionary Large-Scale Multi-Objective Optimization: A Survey.ACM Computing Surveys,54(8).
MLA
Tian,Ye,et al."Evolutionary Large-Scale Multi-Objective Optimization: A Survey".ACM Computing Surveys 54.8(2022).
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