Name
Abstract | ||
|---|---|---|
The primary aim of this original work is to provide a more in-depth insight into the relations between control parameters adjustments, learning techniques, inner swarm dynamics and possible hybridization strategies for popular swarm metaheuristic Firefly Algorithm (FA). In this paper, a proven method, orthogonal learning, is fused with FA, specifically with its hybrid modification Firefly Particle... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1093/jigpal/jzaa044 | Logic Journal of the IGPL |
Keywords | DocType | Volume |
Firefly Algorithm,Particle Swarm Optimization,Orthogonal learning,Friedman rank | Journal | 29 |
Issue | ISSN | Citations |
1 | 1367-0751 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomas Kadavy | 1 | 20 | 20.97 |
| Roman Senkerik | 2 | 375 | 74.92 |
| Michal Pluhacek | 3 | 217 | 47.34 |
| Adam Viktorin | 4 | 0 | 0.34 |