Evolutionary Algorithms and Chaotic Systems (eBook)

Ivan Zelinka, Sergej Celikovský, Hendrik Richter, Guanrong Chen (Herausgeber)

eBook Download: PDF

2010 | 2010
560 Seiten
Springer Berlin (Verlag)
978-3-642-10707-8 (ISBN)

Infos

This book discusses the mutual intersection of two fields of research: evolutionary computation, which can handle tasks such as control of various chaotic systems, and deterministic chaos, which is investigated as a behavioral part of evolutionary algorithms.

Inhalt

Theory.- Motivation for Application of Evolutionary Computation to Chaotic Systems.- Evolutionary Algorithms for Chaos Researchers.- Chaos Theory for Evolutionary Algorithms Researchers.- Evolutionary Algorithms and the Edge of Chaos.- Applications.- Evolutionary Design of Chaos Control in 1D.- Evolutionary Control of CML Systems.- Chaotic Systems Reconstruction.- Evolutionary Reconstruction of Chaotic Systems.- Cryptography Based on Spatiotemporal Chaotic Systems.- Evolutionary Decryption of Chaotically Encrypted Information.- Chaos Synthesis by Evolutionary Algorithms.- Evolutionary Synchronization of Chaotic Systems.- Evolutionary Optimization and Dynamic Fitness Landscapes.- Controller Parameters Optimization on a Representative Set of Systems Using Deterministic-Chaotic-Mutation Evolutionary Algorithms.- Chaotic Attributes and Permutative Optimization.- Frontiers.

Produkt-Details

• Erscheint lt. Verlag: 10.3.2010
• Reihe/Serie: Studies in Computational Intelligence
• Verlagsort: Berlin
• Sprache: englisch
• Themenwelt: Technik
• Schlagworte: algorithms • Behavior • chaos theory • Complexity • Complex Systems • Computational Intelligence • Computer • Computer Science • Control • cryptography • Deterministic Chaos • Evolution • evolutionary algorithm • evolutionary computation • Intelligence • Mathematics • Mutation • Optimization
• ISBN-10: 3-642-10707-9 / 3642107079
• ISBN-13: 978-3-642-10707-8 / 9783642107078