Name
Title | ||
|---|---|---|
Inner Dynamics of Particle Swarm Optimization Interpreted by Complex Network Analysis |
Abstract | ||
|---|---|---|
In this paper, we present the relation between the inner dynamics of the particle swarm optimization algorithm and the properties of a complex network recording the information transfer in the population. Using population diversity as an example, we argue that the complex network analysis is a viable tool for assessing the state of the population and the eventual necessity of an adaptive intervention. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/COMPENG50184.2022.9905435 | 2022 IEEE Workshop on Complexity in Engineering (COMPENG) |
Keywords | DocType | ISSN |
Particle swarm optimization,complex network,population diversity | Conference | 2688-2566 |
ISBN | Citations | PageRank |
978-1-7281-7125-8 | 0 | 0.34 |
References | Authors | |
6 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michal Pluhacek | 1 | 0 | 0.68 |
| Tomas Kadavy | 2 | 20 | 20.97 |
| Anezka Kazikova | 3 | 0 | 1.69 |
| Adam Viktorin | 4 | 29 | 16.76 |
| Roman Senkerik | 5 | 0 | 0.68 |