Abstract | ||
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In this study, we investigate the communication in particle swarm optimization (PSO) by the means of network visualization. We measure the communication density of PSO optimizing four different benchmark functions. It is presented that the communication density varies over different fitness landscapes and in different phases of the optimizing process. We analyze the results in terms of use for future research. |
Year | Venue | Keywords |
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2017 | PROCEEDINGS - 31ST EUROPEAN CONFERENCE ON MODELLING AND SIMULATION ECMS 2017 | Swarm Intelligence, Particle Swarm Optimization, Complex Network, Swarm communication |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michal Pluhacek | 1 | 217 | 47.34 |
Roman Senkerik | 2 | 375 | 74.92 |
Adam Viktorin | 3 | 29 | 16.76 |
Tomas Kadavy | 4 | 20 | 20.97 |