Does evolutionary dynamics need randomness, complexity or determinism?

Zelinka, Ivan; Šenkeřík, Roman

dc.title	Does evolutionary dynamics need randomness, complexity or determinism?	en
dc.contributor.author	Zelinka, Ivan
dc.contributor.author	Šenkeřík, Roman
dc.relation.ispartof	ISCS 2014: Interdisciplinary Symposium on Complex Systems
dc.relation.ispartof	Emergence, Complexity and Computation
dc.identifier.issn	2194-7287 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn	2194-7295 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-3-319-10758-5
dc.identifier.isbn	978-3-319-10759-2
dc.date.issued	2015
dc.citation.spage	195
dc.citation.epage	203
dc.type	bookPart
dc.language.iso	en
dc.publisher	Springer International Publishing
dc.identifier.doi	10.1007/978-3-319-10759-2_21
dc.relation.uri	https://link.springer.com/chapter/10.1007/978-3-319-10759-2_21
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1008142
utb.source	c-crossref
dc.date.accessioned	2018-08-29T08:26:54Z
dc.date.available	2018-08-29T08:26:54Z
utb.ou	CEBIA-Tech
utb.contributor.internalauthor	Šenkeřík, Roman
utb.fulltext.affiliation	Ivan Zelinka 1 and Roman Senkerik 2 1 VSB-Technical University of Ostrava, 17. listopadu 15 708 33, Ostrava-Poruba, Czech Republic ivan.zelinka@vsb.cz 2 Faculty of Applied Informatics, Tomas Bata University in Zlin senkerik@fai.utb.cz
utb.fulltext.dates	-
utb.fulltext.references	1. Pluhacek, M., Senkerik, R., Davendra, D., Kominkova Oplatkova, Z.: On the Behaviour and Performance of Chaos Driven PSO Algorithm with Inertia Weight. In: Computers and Mathematics with Applications (in print) ISSN 0898-1221 2. Pluhacek, M., Budikova, V., Senkerik, R., Oplatkova, Z., Zelinka, I.: Extended Initial Study on the Performance of Enhanced PSO Algorithm with Lozi Chaotic Map. In: Zelinka, I., Snasel, V., Rössler, O.E., Abraham, A., Corchado, E.S. (eds.) Nostradamus: Mod. Meth. of Prediction, Modeling. AISC, vol. 192, pp. 167–177. Springer, Heidelberg (2013) 3. Pluhacek, M., Senkerik, R., Zelinka, I.: Impact of Various Chaotic Maps on the Performance of Chaos Enhanced PSO Algorithm with Inertia Weight an Initial Study. In: Zelinka, I., Snasel, V., Rössler, O.E., Abraham, A., Corchado, E.S. (eds.) Nostradamus: Mod. Meth. of Prediction, Modeling. AISC, vol. 192, pp. 153–166. Springer, Heidelberg (2013) 4. Pluhacek, M., Senkerik, R., Davendra, D., Zelinka, I.: PID Controller Design For 4th Order system By Means of Enhanced PSO algorithm With Lozi Chaotic Map. In: Proceedings of 18th International Conference on Soft Computing, MENDEL 2012, pp. 35–39 (2012) ISBN 978-80-214-4540-6 5. Pluhacek, M., Budikova, V., Senkerik, R., Oplatkova, Z., Zelinka, I.: On The Performance of Enhanced PSO algorithm With Lozi Chaotic Map An Initial Study. In: Proceedings of 18th International Conference on Soft Computing, MENDEL 2012, pp. 40–45 (2012) ISBN 978-80-214-4540-6 6. Persohn, K.J., Povinelli, R.J.: Analyzing logistic map pseudorandom number generators for periodicity induced by finite precision floating-point representation. Chaos, Solitons and Fractals 45, 238–245 (2012) 7. Davendra, D., Zelinka, I., Senkerik, R.: Chaos driven evolutionary algorithms for the task of PID control. Computers and Mathematics with Applications 60(4), 1088–1104 (2010) ISSN 0898-1221 8. Senkerik, R., Davendra, D., Zelinka, I., Oplatkova, Z., Pluhacek, M.: Optimization of the Batch Reactor by Means of Chaos Driven Differential Evolution. In: Snasel, V., Abraham, A., Corchado, E.S. (eds.) SOCO Models in Industrial & Environmental Appl. AISC, vol. 188, pp. 93–102. Springer, Heidelberg (2013) 9. Lozi, R.: Emergence Of Randomness From Chaos. International Journal of Bifurcation and Chaos 22(2), 1250021 (2012), doi:10.1142/S0218127412500216 10. Wang, X.-Y., Qin, X.: A new pseudo-random number generator based on CML and chaotic iteration. Nonlinear Dynamics An International Journal of Nonlinear Dynamics and Chaos in Engineering Systems, Nonlinear Dyn. 70(2), 1589–1592 (2012), doi:10.1007/s11071-012-0558-0 11. Pareek, N.K., Patidar, V., Sud, K.K.: A Random Bit Generator Using Chaotic Maps. International Journal of Network Security 10(1), 32–38 (2010) 12. Xing-Yuan, W., Lei, Y.: Design of Pseudo-Random Bit Generator Based on Chaotic Maps. 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Zelinka, I., Senkerik, R., Pluhacek, M.: Do Evolutionary Algorithms Indeed Require Randomness? In: 2013 IEEE Congress on Evolutionary Computation (CEC), pp. 2283–2289 (2013) 20. Zelinka, I., Chadli, M., Davendra, D., Senkerik, R., Pluhacek, M., Lampinen, J.: Hidden Periodicity - Chaos Dependance on Numerical Precision. In: Zelinka, I., Chen, G., Rössler, O.E., Snasel, V., Abraham, A. (eds.) Nostradamus 2013: Prediction, Model. & Analysis. AISC, vol. 210, pp. 47–59. Springer, Heidelberg (2013) 21. Zelinka, I., Chadli, M., Davendra, D., Senkerik, R., Pluhacek, M., Lampinen, J.: Do Evolutionary Algorithms Indeed Require Random Numbers? Extended Study. In: Zelinka, I., Chen, G., Rössler, O.E., Snasel, V., Abraham, A. (eds.) Nostradamus 2013: Prediction, Model. & Analysis. AISC, vol. 210, pp. 61–75. Springer, Heidelberg (2013) 22. Alatas, B., Akin, E., Ozer, B.A.: Chaos embedded particle swarm optimization algorithms. Chaos, Solitons and Fractals 40(4), 1715–1734 (2009) ISSN 0960-0779 23. Eberhart, R., Kennedy, J.: Swarm Intelligence. The Morgan Kaufmann Series in Artificial Intelligence. Morgan Kaufmann (2001) 24. Dorigo, M., Gambardella, L.M., Birattari, M., Martinoli, A., Poli, R., Stützle, T. (eds.): ANTS 2006. LNCS, vol. 4150. Springer, Heidelberg (2006) 25. Skanderova, L., Zelinka, I., Šaloun, P.: Chaos Powered Selected Evolutionary Algorithms. In: Zelinka, I., Chen, G., Rössler, O.E., Snasel, V., Abraham, A. (eds.) Nostradamus 2013: Prediction, Model. & Analysis. AISC, vol. 210, pp. 111–124. Springer, Heidelberg (2013) 26. Franois, M., Grosges, T., Barchiesi, T., Erra, D., Pseudo-random, R.: number generator based on mixing of three chaotic maps. Commun Nonlinear Sci. Numer. Simulat. 19, 887–895 (2014) 27. Vattulainena, I., Kankaalaa, K., Saarinena, J., Ala-Nissila, T.: A comparative study of some pseudorandom number generators. Computer Physics Communications 86(3), 209–226 (1995) 28. Kanso, A., Smaoui, N.: Logistic chaotic maps for binary numbers generations. Chaos, Solitons and Fractals 40(5), 2557–2568 (2009) 29. Hellekalek, P.: A note on pseudorandom number generators, Simulation Practice and Theory. Simulation Practice and Theory 5(6), p6–p8 (1997) 30. Zelinka, I., Senkerik, R., Pluhacek, M.: Nonrandom Evolutionary Algorithms. In: Proceedings of 20th International Conference on Soft Computing, MENDEL 2014 (2014) ISBN 978-80- 214-4540-6 31. Zelinka, I., Saloun, P., Senkerik, R., Pavlech, M.: Controlling Complexity. In: Zelinka, I., Sanayei, A., Zenil, H., Rossler, O.E. (eds.) How Nature Works. Springer (2014)
utb.fulltext.sponsorship	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 - Technical Republic, partially supported by Grant of SGS No. SP2014/159, VŠB University of Ostrava, Czech Republic, and by European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089.
utb.fulltext.projects	GACR P103/13/08195S
utb.fulltext.projects	CZ.1.07/2.3.00/20.0072
utb.fulltext.projects	SGS No. SP2014/159
utb.fulltext.projects	CZ.1.05/2.1.00/03.0089