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Evolutionary Algorithms and Chaotic Systems
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SYSNO ASEP 0340465 Document Type M - Monograph Chapter R&D Document Type Monograph Chapter Title Chaos Synthesis by Evolutionary Algorithms Author(s) Zelinka, I. (CZ)
Chen, G. (CN)
Čelikovský, Sergej (UTIA-B) RID, ORCIDSource Title Evolutionary Algorithms and Chaotic Systems. - Berlin : Springer-Verlag, 2010 / Zelinka I. ; Čelikovský S. ; Richter H. ; Chen G. - ISSN 1860-949X - ISBN 978-3-642-10706-1 Pages s. 345-382 Number of pages 38 s. Number of copy 201 Number of pages 521 Language eng - English Country DE - Germany Keywords chaos synthesis ; evolutionary algorithms ; self organizingmigrating ; evolutionary computing Subject RIV BC - Control Systems Theory CEZ AV0Z10750506 - UTIA-B (2005-2011) UT WOS 000275281800011 DOI 10.1007/978-3-642-10707-8 Annotation This chapter introduces the notion of chaos synthesis by means of evolutionary algorithms and develops a new method for chaotic systems synthesis. This method is similar to genetic programming and grammatical evolution and is applied alongside evolutionary algorithms: differential evolution, self organizingmigrating, genetic algorithm, simulated annealing and evolutionary strategies. The aim of this investigation is to synthesize new and “simple” chaotic systems based on some elements contained in a pre-chosen existing chaotic system and a properly defined cost function. The investigation consists of two case studies based on the aforementioned evolutionary algorithms in various versions. For all algorithms, 100 simulations of chaos synthesis were repeated and then averaged to guarantee the reliability and robustness of the proposed method. The most significant results are carefully selected, visualized and commented in this chapter. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2010
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