中文版 | English
Title

Dual-State-Driven Evolutionary Optimization for Expensive Optimization Problems with Continuous and Categorical Variables

Author
DOI
Publication Years
2023
ISBN
979-8-3503-9353-8
Source Title
Pages
1-7
Conference Date
22-24 Sept. 2023
Conference Place
Tianjin, China
Keywords
SUSTech Authorship
First
URL[Source Record]
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10294894
Citation statistics
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/582715
DepartmentSchool 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, P.R. China
2.Department of Computer Science and Engineering, School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, P.R. China
First Author AffilicationSchool of System Design and Intelligent Manufacturing
First Author's First AffilicationSchool of System Design and Intelligent Manufacturing
Recommended Citation
GB/T 7714
Lindong Xie,Genghui Li,Kangnian Lin,et al. Dual-State-Driven Evolutionary Optimization for Expensive Optimization Problems with Continuous and Categorical Variables[C],2023:1-7.
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