Objective Extraction for Simplifying Many-Objective Solution Sets

Genghui Li1; Zhenkun Wang2; Jianyong Sun3; Qingfu Zhang4

2023

10.1109/TETCI.2023.3301401

IEEE Transactions on Emerging Topics in Computational Intelligence   影响因子和分区

2471-285X

Many-objective Solution Set Simplification Linear Objective Extraction Dominance And Distribution Relationship Preservation

SCI ; EI

英语

第一 ; 通讯

WOS:001051262600001

20233514638988

Data mining ; Decision making ; Evolutionary algorithms ; Feature extraction ; Job analysis ; Multiobjective optimization ; Object recognition

Data Processing and Image Processing:723.2 ; Chemical Operations:802.3 ; Management:912.2 ; Optimization Techniques:921.5

IEEE

1.School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China
2.School of System Design and Intelligent Manufacturing, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China
3.School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaanxi Province, China
4.Department of Computer Science, City University of Hong Kong, Hong Kong

Genghui Li,Zhenkun Wang,Jianyong Sun,et al. Objective Extraction for Simplifying Many-Objective Solution Sets[J]. IEEE Transactions on Emerging Topics in Computational Intelligence,2023,PP(99):1-13.

Genghui Li,Zhenkun Wang,Jianyong Sun,&Qingfu Zhang.(2023).Objective Extraction for Simplifying Many-Objective Solution Sets.IEEE Transactions on Emerging Topics in Computational Intelligence,PP(99),1-13.

Genghui Li,et al."Objective Extraction for Simplifying Many-Objective Solution Sets".IEEE Transactions on Emerging Topics in Computational Intelligence PP.99(2023):1-13.