Evolutionary Competitive Multitasking Optimization

Li，Genghui1; Zhang，Qingfu2; Wang，Zhenkun3

2022-04

10.1109/TEVC.2022.3141819

IEEE Transactions on Evolutionary Computation   影响因子和分区

1941-0026

Competitive multitasking optimization problem (CMTOP) information transfer online resources allocation task selection

SCI ; EI

第一 ; 通讯

20220311480270

Evolutionary algorithms ; Job analysis ; Multitasking ; Optimal systems ; Resource allocation ; Scheduling ; Scheduling algorithms

Digital Computers and Systems:722.4 ; Management:912.2 ; Optimization Techniques:921.5 ; Systems Science:961

COMPUTER SCIENCE

IEEE

1.School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China, and also with the Department of Computer Science, City University of Hong Kong, Hong Kong. (e-mail: genghuili2-c@my.cityu.edu.hk)
2.Department of Computer Science, City University of Hong Kong, Hong Kong, and City University of Hong Kong Shenzhen Research Institute, Shenzhen, China.
3.School of System Design and Intelligent Manufacturing and the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.

Li，Genghui,Zhang，Qingfu,Wang，Zhenkun. Evolutionary Competitive Multitasking Optimization[J]. IEEE Transactions on Evolutionary Computation,2022,26(2):278-289.

Li，Genghui,Zhang，Qingfu,&Wang，Zhenkun.(2022).Evolutionary Competitive Multitasking Optimization.IEEE Transactions on Evolutionary Computation,26(2),278-289.

Li，Genghui,et al."Evolutionary Competitive Multitasking Optimization".IEEE Transactions on Evolutionary Computation 26.2(2022):278-289.