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PSO with Partial Population Restart Based on Complex Network Analysis

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Hybrid Artificial Intelligent Systems (HAIS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10334))

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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.

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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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Correspondence to Michal Pluhacek .

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Pluhacek, M., Viktorin, A., Senkerik, R., Kadavy, T., Zelinka, I. (2017). PSO with Partial Population Restart Based on Complex Network Analysis. In: Martínez de Pisón, F., Urraca, R., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2017. Lecture Notes in Computer Science(), vol 10334. Springer, Cham. https://doi.org/10.1007/978-3-319-59650-1_16

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  • DOI: https://doi.org/10.1007/978-3-319-59650-1_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59649-5

  • Online ISBN: 978-3-319-59650-1

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