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Digital Library

of the European Council for Modelling and Simulation

 

Title:

On The Simulation Of Complex Chaotic Dynamics For Chaos Based Optimization

Authors:

Roman Senkerik, Michal Pluhacek, Adam Viktorin, Zuzana Kominkova Oplatkova

Published in:

 

 

(2016).ECMS 2016 Proceedings edited by: Thorsen Claus, Frank Herrmann, Michael Manitz, Oliver Rose, European Council for Modeling and Simulation. doi:10.7148/2016

 

 

ISBN: 978-0-9932440-2-5

 

30th European Conference on Modelling and Simulation,

Regensburg Germany, May 31st – June 3rd, 2016

 

Citation format:

Roman Senkerik, Michal Pluhacek, Adam Viktorin, Zuzana Kominkova Oplatkova (2016). On The Simulation Of Complex Chaotic Dynamics For Chaos Based Optimization, ECMS 2016 Proceedings edited by: Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose  European Council for Modeling and Simulation. doi:10.7148/2016-0258

DOI:

http://dx.doi.org/10.7148/2016-0258

Abstract:

This paper investigates the utilization of the complex chaotic dynamics given by the several selected timecontinuous chaotic systems, as the chaotic pseudo random number generators and driving maps for the chaotic optimization. Chaos based 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 two groups of complex chaotic dynamics given by either chaotic flows or oscillators. Simulations of examples of chaotic dynamics transferred to the pseudo random number generators were performed and related issues like distributions of such a systems, periodicity, and dependency on sampling times are briefly discussed in this paper.

 

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