Name
Abstract | ||
|---|---|---|
This study presents a hybridization of Particle Swarm Optimization with a complex network creation and analysis. A partial population is performed in certain moments of the run of the algorithm based on the information obtained from a complex network structure that represents the communication in the population. We present initial results alongside statistical evaluation and discuss future possibilities of this approach. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-59650-1_16 | HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, HAIS 2017 |
Keywords | Field | DocType |
Swarm intelligence, Particle Swarm Optimization, Complex Network, Hybrid method | Particle swarm optimization,Population,Computer science,Swarm intelligence,Artificial intelligence,Complex network,Complex network analysis,Machine learning | Conference |
Volume | ISSN | Citations |
10334 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michal Pluhacek | 1 | 217 | 47.34 |
| Adam Viktorin | 2 | 29 | 16.76 |
| Roman Senkerik | 3 | 375 | 74.92 |
| Tomas Kadavy | 4 | 20 | 20.97 |
| Ivan Zelinka | 5 | 451 | 82.16 |