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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
Uncovering Communication Density In PSO Using Complex
Network |
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Authors: |
Michal Pluhacek, Roman Senkerik, Adam Viktorin, Tomas Kadavy |
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Published in:
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(2017).ECMS 2017 Proceedings
Edited by: Zita Zoltay
Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi:10.7148/2017 ISBN:
978-0-9932440-4-9/ ISBN:
978-0-9932440-5-6 (CD) 31st European Conference on Modelling and Simulation, Budapest, Hungary, May 23rd
– May 26th, 2017 |
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Citation
format: |
Michal
Pluhacek, Roman Senkerik,
Adam Viktorin, Tomas Kadavy
(2017). Uncovering Communication Density In PSO Using Complex Network, ECMS
2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi: 10.7148/2017-0306 |
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DOI: |
https://doi.org/10.7148/2017-0306 |
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Abstract: |
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. |
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Full
text: |
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