A Two-Population Algorithm for Large-Scale Multi-objective Optimization Based on Fitness-Aware Operator and Adaptive Environmental Selection

Bingdong Li1; Yan Zhang1; Peng Yang2,3,4; Xin Yao2,4; Aimin Zhou1

2023

10.1109/TEVC.2023.3296488

IEEE Transactions on Evolutionary Computation   影响因子和分区

1941-0026

Evolutionary Algorithm Evolutionary Multi-objective Optimization Large-Scale Multi-objective Optimization Two-Archive Algorithm Fitness-Aware Operator

SCI ; EI

英语

其他

20233014430553

Benchmarking ; Decision Making ; Evolutionary Algorithms ; Population Statistics

Management:912.2 ; Optimization Techniques:921.5

COMPUTER SCIENCE

IEEE

1.Shanghai Institute of AI for Education, East China Normal University, Shanghai, China
2.Research Institute of Trustworthy Autonomous Systems, Department and Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China
3.Department of Statistics and Data Science, Southern University of Science and Technology
4.Department and Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China

Bingdong Li,Yan Zhang,Peng Yang,et al. A Two-Population Algorithm for Large-Scale Multi-objective Optimization Based on Fitness-Aware Operator and Adaptive Environmental Selection[J]. IEEE Transactions on Evolutionary Computation,2023,PP(99):1-1.

Bingdong Li,Yan Zhang,Peng Yang,Xin Yao,&Aimin Zhou.(2023).A Two-Population Algorithm for Large-Scale Multi-objective Optimization Based on Fitness-Aware Operator and Adaptive Environmental Selection.IEEE Transactions on Evolutionary Computation,PP(99),1-1.

Bingdong Li,et al."A Two-Population Algorithm for Large-Scale Multi-objective Optimization Based on Fitness-Aware Operator and Adaptive Environmental Selection".IEEE Transactions on Evolutionary Computation PP.99(2023):1-1.