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Complex Network Construction Based on SOMA: Vertices In-Degree Reliance on Fitness Value Evolution

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ISCS 2013: Interdisciplinary Symposium on Complex Systems

Part of the book series: Emergence, Complexity and Computation ((ECC,volume 8))

Abstract

This paper deals with complex network constructing with using evolutionary algorithm SOMA AllToOne version. The main goal is to visualize complex networks developing and analyse their properties, especially in-degrees and their realiances on fitness value evolution. Thank this analysis we can make an analysis of the populations evolutions during the evolutionary algorithm.

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References

  1. Stoean, R., Stoean, C.: Modeling medical decision making by support vector machines, explaining by rules of evolutionary algorithms with feature selection. Expert Syst. Appl. 40, 2677–2686 (2013)

    Google Scholar 

  2. Li, Y.F., Sansavini, G., Zio, E.: Non-dominated sorting binary differential evolution for the multi-objective optimization of cascading failures protection in complex networks. Reliab. Eng. Syst. Safe. 111, 195–205 (2013)

    Google Scholar 

  3. Klimkova, E., Senkerik, R., Zelnka, I.: Visualization of giant connected component in directed network. MENDEL 2011–17th International Conference On Soft Computing, Mendel, pp. 486–491 (2011)

    Google Scholar 

  4. Tomsu, L., Zelinka, I.: Complex networks and evolutionary algorithms. MENDELL 2009, Mendel, pp. 55–61 (2009)

    Google Scholar 

  5. Zelinka, I. et al.: Evolutionary dynamics and complex networks. MENDEL 2012–18th International Conference On Soft Computing, Mendel, pp. 88–93 (2012)

    Google Scholar 

  6. Newman, M.E.J.: The structure and function of complex networks. Soc. Ind. Appl. Math. 45, 167–256 (2003)

    Google Scholar 

  7. Liu, D.Y. et al.: Genetic algorithm with a local search strategy for discovering communities in complex networks. Int. J. Comput. Intell. Syst. 6, 354–369 (2013)

    Google Scholar 

  8. Zhu, W.J., Guan, J.C.: A bibliometric study of service innovation research: based on complex network analysis. Scientometrics 94, 1195–1216 (2013)

    Google Scholar 

  9. Lewis, T.G.: Cognitive stigmergy: a study of emergence in small-group social networks. Cogn. Syst. Res. 21, 7–21 (2013)

    Google Scholar 

  10. Ma, Q., Lu, J.W.: Cluster synchronization for directed complex dynamical networks via pinning control. Neurocomputing 101, 354–360 (2013)

    Google Scholar 

  11. Gong, D.W. et al.: New global synchronization analysis for complex networks with coupling delay based on a useful inequality. Neural Comput. Appl. 22, 205–210 (2013)

    Google Scholar 

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Acknowledgments

The following two grants are acknowledged for the financial support provided for this research: Grant Agency of the Czech Republic—GACR P103/13/08195S, by the Development of human resources in research and development of latest soft computing methods and their application in practice project, reg. no. CZ.1.07/2.3.00/20.0072 funded by Operational Programme Education for Competitiveness, co-financed by ESF and state budget of the Czech Republic

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Correspondence to Lenka Skanderova .

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Skanderova, L., Zelinka, I., Saloun, P. (2014). Complex Network Construction Based on SOMA: Vertices In-Degree Reliance on Fitness Value Evolution. In: Sanayei, A., Zelinka, I., Rössler, O. (eds) ISCS 2013: Interdisciplinary Symposium on Complex Systems. Emergence, Complexity and Computation, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45438-7_29

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  • DOI: https://doi.org/10.1007/978-3-642-45438-7_29

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45437-0

  • Online ISBN: 978-3-642-45438-7

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