| Title | Evolutionary Many-objective Optimization: Difficulties, Approaches, and Discussions |
| Author | |
| Corresponding Author | Sato, Hiroyuki |
| Publication Years | 2023-03-01
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| DOI | |
| Source Title | |
| ISSN | 1931-4973
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| EISSN | 1931-4981
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| Abstract | 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. |
| Keywords | |
| URL | [Source Record] |
| Indexed By | |
| Language | English
|
| SUSTech Authorship | Others
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| WOS Research Area | Engineering
|
| WOS Subject | Engineering, Electrical & Electronic
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| WOS Accession No | WOS:000953032000001
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| Publisher | |
| Data Source | Web of Science
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| Citation statistics |
Cited Times [WOS]:0
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| Document Type | Journal Article |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/523973 |
| Department | Department of Computer Science and Engineering |
| Affiliation | 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 |
| Recommended Citation GB/T 7714 |
Sato, Hiroyuki,Ishibuchi, Hisao. Evolutionary Many-objective Optimization: Difficulties, Approaches, and Discussions[J]. IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING,2023.
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| APA |
Sato, Hiroyuki,&Ishibuchi, Hisao.(2023).Evolutionary Many-objective Optimization: Difficulties, Approaches, and Discussions.IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING.
|
| MLA |
Sato, Hiroyuki,et al."Evolutionary Many-objective Optimization: Difficulties, Approaches, and Discussions".IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING (2023).
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