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PSO with Partial Population Restart Based on Complex Network Analysis

  • Michal PluhacekEmail author
  • Adam Viktorin
  • Roman Senkerik
  • Tomas Kadavy
  • Ivan Zelinka
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10334)

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.

Keywords

Swarm intelligence Particle Swarm Optimization Complex Network Hybrid method 

Notes

Acknowledgements

This work was supported by Grant Agency of the Czech Republic – GACR P103/15/06700S, further by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme Project no. LO1303 (MSMT-7778/2014. Also by the European Regional Development Fund under the Project CEBIA-Tech no. CZ.1.05/2.1.00/03.0089 and by Internal Grant Agency of Tomas Bata University under the Projects no. IGA/CebiaTech/2017/004.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Michal Pluhacek
    • 1
    Email author
  • Adam Viktorin
    • 1
  • Roman Senkerik
    • 1
  • Tomas Kadavy
    • 1
  • Ivan Zelinka
    • 2
  1. 1.Faculty of Applied InformaticsTomas Bata University in ZlinZlinCzech Republic
  2. 2.Faculty of Electrical Engineering and Computer ScienceTechnical University of OstravaOstrava-PorubaCzech Republic

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