Evolutionary Large-Scale Multi-Objective Optimization: A Survey
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.
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, Theory & Methods
|WOS Accession No|
|ESI Research Field|
Cited Times [WOS]:2
|Document Type||Journal Article|
|Department||Southern University of Science and Technology|
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
Tian，Ye,Si，Langchun,Zhang，Xingyi,et al. Evolutionary Large-Scale Multi-Objective Optimization: A Survey[J]. ACM Computing Surveys,2022,54(8).
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).
Tian，Ye,et al."Evolutionary Large-Scale Multi-Objective Optimization: A Survey".ACM Computing Surveys 54.8(2022).
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