Abstract
In this paper the idea of capturing inner dynamics of evolutionary process in complex network is discussed. Complex network, in itself, can contain large number of information about running evolutionary process. Consequently this information can be used in subsequent adaptive control of algorithm. We present initial study of methodology for capturing the information about algorithm and present possible uses for created networks. For this study the Firefly algorithm was selected.
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Acknowledgments
This work was supported by Grant Agency of the Czech Republic - GACR P103/15/06700S, further by financial support of research project NPU I No. MSMT-7778/2014 by the Ministry of Education of the Czech Republic and also by the European Regional Development Fund under the Project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089, partially supported by Grant of SGS No. SP2015/142, VŠB - Technical University of Ostrava, Czech Republic and by Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2015/057, IGA/FAI/2015/061 and IGA/FAI/2015/031.
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Janostik, J., Pluhacek, M., Senkerik, R., Zelinka, I., Spacek, F. (2016). Capturing Inner Dynamics of Firefly Algorithm in Complex Network—Initial Study. In: Abraham, A., Wegrzyn-Wolska, K., Hassanien, A., Snasel, V., Alimi, A. (eds) Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015. Advances in Intelligent Systems and Computing, vol 427. Springer, Cham. https://doi.org/10.1007/978-3-319-29504-6_53
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DOI: https://doi.org/10.1007/978-3-319-29504-6_53
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