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Title:	*Simulation Of Chaotic Dynamics For Chaos Based Optimization – An Extended Study*
Authors:	Roman Senkerik, Michal Pluhacek, Adam Viktorin, Zuzana Kominkova Oplatkova, Tomas Kadavy
Published in:	(2017).ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi:10.7148/2017 ISBN: 978-0-9932440-4-9/ ISBN: 978-0-9932440-5-6 (CD) 31st European Conference on Modelling and Simulation, Budapest, Hungary, May 23^rd – May 26^th, 2017
Citation format:	Roman Senkerik, Michal Pluhacek, Adam Viktorin, Zuzana Kominkova Oplatkova, Tomas Kadavy (2017). Simulation Of Chaotic Dynamics For Chaos Based Optimization – An Extended Study, ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi: 10.7148/2017-0319
DOI:	https://doi.org/10.7148/2017-0319
Abstract:	This paper discusses the utilization of the complex chaotic dynamics given by the selected time-continuous chaotic systems as well as by the discrete chaotic maps, as the chaotic pseudo random number generators and driving maps for the chaos based optimization. Such an optimization concept is utilizing direct output iterations of chaotic system transferred into the required numerical range or it uses the chaotic dynamics for mapping the search space mostly within the local search techniques. This paper shows totally three groups of complex chaotic dynamics given by chaotic flows, oscillators and discrete maps. Simulations of examples of chaotic dynamics mapped to the search space were performed and related issues like parametric plots, distributions of such a systems, periodicity, and dependency on internal accessible parameters are briefly discussed in this paper.
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