Name
Abstract | ||
|---|---|---|
•Evolution algorithm dynamics can be captured into a complex network.•Complex networks properties or edges can be converted into a CML.•Evolution algorithm dynamics changed after creating a feedback loop.•The feedback loop allows us to control the algorithm dynamics. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jocs.2017.08.010 | Journal of Computational Science |
Keywords | Field | DocType |
Evolutionary dynamics,Strange dynamics,Hidden attractors,Complex network,Evolutionary algorithms,Control,Chaos | Attractor,Evolutionary algorithm,Human-based evolutionary computation,Computer science,Evolutionary computation,Theoretical computer science,Artificial intelligence,Complex network,Evolutionary dynamics,Evolutionary programming,Chaotic | Journal |
Volume | ISSN | Citations |
25 | 1877-7503 | 1 |
PageRank | References | Authors |
0.40 | 23 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ivan Zelinka | 1 | 451 | 82.16 |
| Lukas Tomaszek | 2 | 1 | 0.40 |
| P. Vasant | 3 | 100 | 15.00 |
| Tran Trong Dao | 4 | 15 | 2.21 |
| Vo Hoang Duy | 5 | 5 | 1.25 |