Bibliography

Monography Chapter

Chaos Theory for Evolutionary Algorithms Researchers

Čelikovský Sergej, Zelinka I.

: Evolutionary Algorithms and Chaotic Systems, p. 89-143 , Eds: Zelinka I., Čelikovský S., Richter H., Chen G.

: CEZ:AV0Z10750506

: GA102/08/0186, GA ČR

: Complex Systems, Computational Intelligence, Deterministic Chaos, Evolutionary Computation

: 10.1007/978-3-642-10707-8

: http://library.utia.cas.cz/separaty/2010/TR/celikovsky-0340153.pdf

(eng): 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.

: BC