A novel two-stage constraints handling framework for real-world multi-constrained multi-objective optimization problem based on evolutionary algorithm
Applied Intelligence, vol. 51, pp. 8212–8229
Authors 9
-
Wuhan University of Technology
Affiliation as printed
Key Lab. of Marine Power Engineering and Tech. authorized by MOT, Wuhan, 430063, China
School of Energy and Power Engineering, Wuhan University of Technology, Wuhan, 430063, China
-
Wuchang University of Technology
Affiliation as printed
Artificial Intelligence School, Wuchang University of Technology, Wuhan, 430223, China
-
Jun Zhang corresponding
Affiliation as printed
Zhejiang Electronic Information Products Inspection and Research Institute (Key Laboratory of Information Security of Zhejiang Province), No.50 Tian Mu Shan Road, Hangzhou, China
-
Affiliation as printed
School of Data Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, 990777, China
-
Wuhan University of Technology
Affiliation as printed
School of Energy and Power Engineering, Wuhan University of Technology, Wuhan, 430063, China
-
Affiliation as printed
School of Electrical Engineering and Automation, Wuhan University, Wuhan, 430072, China
-
State Grid Corporation of China (China)
Affiliation as printed
State Grid Beijing Electric Maintenance Company, Beijing, 100080, China
-
Affiliation as printed
E.ON Energy Research Center, RWTH Aachen University, 52074, Aachen, Germany
-
Xiaobing Mao corresponding
Wuhan University of Technology
Affiliation as printed
School of Energy and Power Engineering, Wuhan University of Technology, Wuhan, 430063, China
Cited by 14 stored of 14
14 results
No patents citing this paper on Lens.org (checked 2026-10-06).