Offline and Online Objective Reduction via Gaussian Mixture Model Clustering

Li，Genghui1; Wang，Zhenkun2; Zhang，Qingfu3; Sun，Jianyong4

2023

10.1109/TEVC.2022.3168836

IEEE Transactions on Evolutionary Computation   影响因子和分区

1941-0026

Many-objective Optimization Objective Reduction Gaussian Mixture Model Degenerate Pareto Front.

SCI ; EI

英语

第一 ; 通讯

WOS:001011410900010

20221712038252

Clustering Algorithms ; Gaussian Distribution ; Object Recognition ; Reduction

Chemical Reactions:802.2 ; Information Sources And Analysis:903.1 ; Optimization Techniques:921.5 ; Probability Theory:922.1 ; Mathematical Statistics:922.2

COMPUTER SCIENCE

IEEE

1.School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen 518055, China
2.School of System Design and Intelligent Manufacturing and the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
3.Department of Computer Science, City University of Hong Kong, Hong Kong
4.School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi Province 710049, China

Li，Genghui,Wang，Zhenkun,Zhang，Qingfu,et al. Offline and Online Objective Reduction via Gaussian Mixture Model Clustering[J]. IEEE Transactions on Evolutionary Computation,2023,27(2):341-354.

Li，Genghui,Wang，Zhenkun,Zhang，Qingfu,&Sun，Jianyong.(2023).Offline and Online Objective Reduction via Gaussian Mixture Model Clustering.IEEE Transactions on Evolutionary Computation,27(2),341-354.

Li，Genghui,et al."Offline and Online Objective Reduction via Gaussian Mixture Model Clustering".IEEE Transactions on Evolutionary Computation 27.2(2023):341-354.