Evolutionary algorithms and chaotic systems

This book discusses the mutual intersection of two interesting fields of research, i.e. deterministic chaos and evolutionary computation. Evolutionary computation which are able to handle tasks such as control of various chaotic systems and synthesis of their structure are explored, while determinis...

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Bibliografiske detaljer
Hovedforfatter: Zelinka, Ivan
Andre forfattere: Chen, Guanrong, 1948- (Directeur de la publication), Richter, Hendrik (Directeur de la publication), Čelikovský, Sergej (Directeur de la publication)
Format: Livre numérique
Sprog:Anglais
Udgivet: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Udgivelse:1st ed. 2010.
Serier:Studies in Computational Intelligence 267
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Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Evolutionary Algorithms and Chaotic Systems, Texte imprimé, 9783642107061
• Evolutionary Algorithms and Chaotic Systems, Texte imprimé, 9783642107085
• Evolutionary Algorithms and Chaotic Systems, Texte imprimé, 9783642262555
Indholdsfortegnelse:
  • 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