Adaptive Control of Subpopulations in Evolutionary Dynamic Optimization

Yazdani，Danial1; Cheng，Ran2; He，Cheng1; Branke，Jurgen3

2022-07

10.1109/TCYB.2020.3036100

IEEE Transactions on Cybernetics   影响因子和分区

2168-2275

Computational resource allocation dynamic optimization problems (DOPs) multipopulation tracking moving optima (TMO)

EI ; SCI

第一 ; 通讯

20205209678054

Optimization ; Dynamics

Management:912.2 ; Optimization Techniques:921.5

IEEE

1.Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
2.Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China (e-mail: ranchengcn@gmail)
3.Operational Research and Management Sciences Group in Warwick Business School, University of Warwick, Coventry CV4 7AL, U.K..

Yazdani，Danial,Cheng，Ran,He，Cheng,et al. Adaptive Control of Subpopulations in Evolutionary Dynamic Optimization[J]. IEEE Transactions on Cybernetics,2022,52(7):6476-6489.

Yazdani，Danial,Cheng，Ran,He，Cheng,&Branke，Jurgen.(2022).Adaptive Control of Subpopulations in Evolutionary Dynamic Optimization.IEEE Transactions on Cybernetics,52(7),6476-6489.

Yazdani，Danial,et al."Adaptive Control of Subpopulations in Evolutionary Dynamic Optimization".IEEE Transactions on Cybernetics 52.7(2022):6476-6489.