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Firefly Algorithm: Enhanced Version with Partial Population Restart Using Complex Network Analysis

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AETA 2017 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application (AETA 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 465))

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Abstract

In this paper, we are presenting an interesting method for controlling population diversity of the Firefly Algorithm (FA). Presented method is using the advantages of complex networks and their several characteristics, that can be helpful for the detailed analysis of metaheuristic algorithm inner dynamic. Through this work, we are trying to present a simple workflow for building and analysis of network and the most suitable choices in each step to achieve better results of FA, especially, when focusing on population diversity.

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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 Tomas Kadavy .

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Kadavy, T., Pluhacek, M., Viktorin, A., Senkerik, R. (2018). Firefly Algorithm: Enhanced Version with Partial Population Restart Using Complex Network Analysis. In: Duy, V., Dao, T., Zelinka, I., Kim, S., Phuong, T. (eds) AETA 2017 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application. AETA 2017. Lecture Notes in Electrical Engineering, vol 465. Springer, Cham. https://doi.org/10.1007/978-3-319-69814-4_6

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  • DOI: https://doi.org/10.1007/978-3-319-69814-4_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69813-7

  • Online ISBN: 978-3-319-69814-4

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