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Evolutionary Algorithms and Chaotic Systems
- 1.0340153 - ÚTIA 2010 RIV DE eng M - Monography Chapter
Čelikovský, Sergej - Zelinka, I.
Chaos Theory for Evolutionary Algorithms Researchers.
Evolutionary Algorithms and Chaotic Systems. Berlin: Springer-Verlag, 2010 - (Zelinka, I.; Čelikovský, S.; Richter, H.; Chen, G.), s. 89-143. Studies in Computational Intelligence, 267. ISBN 978-3-642-10706-1
R&D Projects: GA ČR(CZ) GA102/08/0186
Institutional research plan: CEZ:AV0Z10750506
Keywords : Complex Systems * Computational Intelligence * Deterministic Chaos * Evolutionary Computation
Subject RIV: BC - Control Systems Theory
http://library.utia.cas.cz/separaty/2010/TR/celikovsky-0340153.pdf
This chapter deals with chaotic systems. Based on the characterization of deterministic chaos, universal features of that kind of behavior are explained. It is shown that despite the deterministic nature of chaos, long term behavior is unpredictable. This is called sensitivity to initial conditions. We further give a concept on quantifying chaotic dynamics: the Lyapunov exponent. Moreover, we explain how chaos can originate from order by period doubling, intermittence, chaotic transients and crises.
Permanent Link: http://hdl.handle.net/11104/0183455
Number of the records: 1