Name
Abstract | ||
|---|---|---|
A multifactorial evolutionary algorithm (MFEA) is a recently proposed algorithm for evolutionary multitasking, which optimizes multiple optimization tasks simultaneously. With the design of knowledge transfer among different tasks, MFEA has demonstrated the capability to outperform its single-task counterpart in terms of both convergence speed and solution quality. In MFEA, the knowledge transfer ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCYB.2020.2974100 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Task analysis,Knowledge transfer,Optimization,Multitasking,Sociology,Statistics,Evolutionary computation | Journal | 51 |
Issue | ISSN | Citations |
5 | 2168-2267 | 9 |
PageRank | References | Authors |
0.43 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Zhou | 1 | 118 | 28.02 |
| Liang Feng | 2 | 601 | 48.54 |
| Kay Chen Tan | 3 | 2767 | 164.86 |
| Jing-hui Zhong | 4 | 380 | 33.00 |
| Zexuan Zhu | 5 | 989 | 57.41 |
| Kai Liu | 6 | 27 | 6.51 |
| Chao Chen | 7 | 87 | 11.13 |