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Analysis of Significance and Evolution of Co-authorship Networks Read chapter Read first chapter

2016 | OriginalPaper | Chapter

PSO as Complex Network—Capturing the Inner Dynamics—Initial Study

Authors : Michal Pluhacek, Jakub Janostik, Roman Senkerik, Ivan Zelinka, Donald Davendra

Published in: Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015

Publisher: Springer International Publishing

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Abstract

This paper presents an initial proposal of methodology for converting the inner dynamics of PSO algorithm into complex network. The motivation is in the recent trend of adaptive methods for improving the performance of evolutionary computational techniques. It seems very likely that the complex network and its statistical characteristics can be used within those adaptive approaches. The methodology described in this paper manages to put significant amount of information about the inner dynamics of PSO algorithm into a complex network.

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previous chapter New Approach to H∞ Filtering for Fuzzy Systems in Finite Frequency Domain
next chapter Particle Swarm Optimizer with Diversity Measure Based on Swarm Representation in Complex Network
Literature
1.
Kennedy, J., Eberhart, R.: Particle swarm optimization. In: IEEE International Conference on Neural Networks, pp. 1942–1948 (1995)
2.
Kennedy, J., Eberhart, R.C., Shi, Y.: Swarm Intelligence. Morgan Kaufmann Publishers (2001)
3.
Nickabadi, A., Ebadzadeh, M.M., Safabakhsh, R.: A novel particle swarm optimization algorithm with adaptive inertia weight. Appl. Soft Comput. 11(4), 3658–3670 (2011)CrossRef
4.
Yuhui, S., Eberhart, R.: A modified particle swarm optimizer. In: IEEE World Congress on Computational Intelligence, 4–9 May 1998, pp. 69–73
5.
Zelinka, I., Davendra, D., Enkek, R., Jaek, R.: Do evolutionary algorithm dynamics create complex network structures? Complex Syst. 2, 0891–2513, 20, 127–140
6.
Zelinka, I., Davendra, D.D., Chadli, M., Senkerik, R., Dao, T.T., Skanderova, L.: Evolutionary dynamics as the structure of complex networks. In: Zelinka, I., Snasel, V., Abraham, A. (eds.) Handbook of Optimization. ISRL, vol. 38, pp. 215–243. Springer, Heidelberg (2013)CrossRef
7.
Zelinka, I.: Investigation on relationship between complex network and evolutionary algorithms dynamics. AIP Conf. Proc. 1389(1), 1011–1014 (2011)CrossRef
8.
Davendra, D., Zelinka, I., Senkerik, R., Pluhacek, M.: Complex network analysis of discrete self-organising migrating algorithm. In: Zelinka, I., Suganthan, P., Chen, G., Snasel, V., Abraham, A., Rossler, O. (eds.) Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems, Advances in Intelligent Systems and Computing, pp. 161–174. Springer, Berlin, Heidelberg (2014)
9.
Davendra, D., Zelinka, I, Metlicka, M., Senkerik, R., Pluhacek, M.: Complex network analysis of differential evolution algorithm applied to flowshop with no-wait problem. In: 2014 IEEE Symposium on Differential Evolution (SDE), pp. 1, 8, 9–12 Dec 2014
Metadata
Title
PSO as Complex Network—Capturing the Inner Dynamics—Initial Study
Authors
Michal Pluhacek
Jakub Janostik
Roman Senkerik
Ivan Zelinka
Donald Davendra
Copyright Year
2016
Book
Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015

Print ISBN: 978-3-319-29503-9

Electronic ISBN: 978-3-319-29504-6

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-29504-6_51

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