Title | Evolutionary algorithm with individual-distribution search strategy and regression-classification surrogates for expensive optimization |
Author | |
Corresponding Author | Wang,Zhenkun |
Publication Years | 2023-07-01
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DOI | |
Source Title | |
ISSN | 0020-0255
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Volume | 634Pages:423-442 |
Abstract | Surrogate-assisted evolutionary algorithms (SAEAs) with prescreening model management strategies show great potential in handling expensive optimization problems (EOPs). However, their performance is highly dependent on the search strategy and surrogate model. This paper proposes an evolutionary algorithm called IDRCEA, which utilizes an individual-distribution search strategy (IDS) and a regression-classification-based prescreening mechanism (RCP) to improve the ability to solve various complex and high-dimensional EOPs. Specifically, IDRCEA first combines an individual-based search strategy and a distribution-based search strategy to enrich offspring generation. Then, a regression model and a classification model are cooperatively used to prescreen the high-level offspring. Finally, both performance-based and distribution-based infill criteria are utilized to determine the most promising offspring from the high-level group for expensive evaluation. Experimental results validate the advantages of IDRCEA over some state-of-the-art SAEAs on many complex benchmark problems and an oil reservoir production optimization problem. |
Keywords | |
URL | [Source Record] |
Language | English
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SUSTech Authorship | First
; Corresponding
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Funding Project | National Natural Science Foundation of China[62036006];National Natural Science Foundation of China[62106096];National Natural Science Foundation of China[62206120];
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ESI Research Field | COMPUTER SCIENCE
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Scopus EID | 2-s2.0-85150871131
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Data Source | Scopus
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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/524101 |
Department | School of System Design and Intelligent Manufacturing 工学院_计算机科学与工程系 |
Affiliation | 1.School of System Design and Intelligent Manufacturing,Southern University of Science and Technology,Shenzhen,518055,China 2.Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China 3.Department of Mathematics and Statistics,Changsha University of Science and Technology,Changsha,410114,China 4.School of Electronic Engineering,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education,Xidian University,Xi'an,710071,China |
First Author Affilication | School of System Design and Intelligent Manufacturing |
Corresponding Author Affilication | School of System Design and Intelligent Manufacturing; Department of Computer Science and Engineering |
First Author's First Affilication | School of System Design and Intelligent Manufacturing |
Recommended Citation GB/T 7714 |
Li,Genghui,Xie,Lindong,Wang,Zhenkun,et al. Evolutionary algorithm with individual-distribution search strategy and regression-classification surrogates for expensive optimization[J]. Information Sciences,2023,634:423-442.
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APA |
Li,Genghui,Xie,Lindong,Wang,Zhenkun,Wang,Huajun,&Gong,Maoguo.(2023).Evolutionary algorithm with individual-distribution search strategy and regression-classification surrogates for expensive optimization.Information Sciences,634,423-442.
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MLA |
Li,Genghui,et al."Evolutionary algorithm with individual-distribution search strategy and regression-classification surrogates for expensive optimization".Information Sciences 634(2023):423-442.
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