Abstract
In this chapter, that is a continuation of the previous one; we show some basic complex network analysis of SOMA algorithm on selected cost functions. The interesting facts, which can be used to improve the algorithm, are discussed here. Also, comparison of different runs of SOMA algorithm on the same test functions is presented here.
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Acknowledgements
The following grants are acknowledged for the financial support provided to this research: Grant Agency of the Czech Republic – GACR P103/15/06700S Grant of No. SGS 2017/134, VSB-Technical University of Ostrava The Ministry of Education, Youth and Sports from the National Programme of Sustainability (NPU II) project “IT4Innovations excellence in science - LQ1602”.
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Tomaszek, L., Zelinka, I. (2018). Analysis of SOMA Algorithm Using Complex Network. In: Zelinka, I., Chen, G. (eds) Evolutionary Algorithms, Swarm Dynamics and Complex Networks. Emergence, Complexity and Computation, vol 26. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-55663-4_5
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DOI: https://doi.org/10.1007/978-3-662-55663-4_5
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