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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Autore principale: Zelinka, Ivan
Altri autori: Chen, Guanrong, 1948- (Direttore editoriale), Richter, Hendrik (Direttore editoriale), Čelikovský, Sergej (Direttore editoriale)
Natura: Livre numérique
Lingua:Anglais
Pubblicazione: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edizione:1st ed. 2010.
Serie:Studies in Computational Intelligence 267
Accesso online:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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
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100 1 |a Zelinka, Ivan. 
245 1 0 |a Evolutionary algorithms and chaotic systems   |c edited by Ivan Zelinka, Sergej Celikovsky, Hendrik Richter, Guanrong Chen. 
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505 1 |a 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 
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520 |a 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 deterministic chaos is investigated as a behavioral part of evolutionary algorithms. This book is targeted for a number of audiences. Firstly, it will be an instructional material for senior undergraduate and entry-point graduate students in computer science, physics, applied mathematics, and engineering, who are working in the area of deterministic chaos and evolutionary algorithms. Secondly, researchers who desire to know how to apply evolutionary techniques on chaos control as well as researchers interested in the emergence of chaos in evolutionary algorithms will find this book a very useful tool and starting point. And finally, this book can be viewed as a resource handbook and material for practitioners who want to apply these methods that solve practical problems to their challenging applications 
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700 1 |a Richter, Hendrik.  |4 pbd 
700 1 |a Čelikovský, Sergej.  |4 pbd 
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