Evolutionary Algorithms and Chaotic Systems

0340153 - ÚTIA 2010 RIV DE eng M - Část monografie knihy
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
Grant CEP: GA ČR(CZ) GA102/08/0186
Výzkumný záměr: CEZ:AV0Z10750506
Klíčová slova: Complex Systems * Computational Intelligence * Deterministic Chaos * Evolutionary Computation
Kód oboru RIV: BC - Teorie a systémy řízení
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.
Trvalý link: http://hdl.handle.net/11104/0183455