Evolutionary Algorithms and Chaotic Systems

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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.

Author(s): Ivan Zelinka, Guanrong Chen (auth.), Prof. Ivan Zelinka, Prof. Sergej Celikovsky, Prof. Hendrik Richter, Prof. Guanrong Chen (eds.)
Series: Studies in Computational Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2010

Language: English
Pages: 560
Tags: Computational Intelligence;Complexity;Statistical Physics, Dynamical Systems and Complexity;Artificial Intelligence (incl. Robotics)

Front Matter....Pages I-XXIV
Front Matter....Pages 1-1
Motivation for Application of Evolutionary Computation to Chaotic Systems....Pages 3-36
Evolutionary Algorithms for Chaos Researchers....Pages 37-88
Chaos Theory for Evolutionary Algorithms Researchers....Pages 89-143
Evolutionary Algorithms and the Edge of Chaos....Pages 145-161
Front Matter....Pages 163-163
Evolutionary Design of Chaos Control in 1D....Pages 165-190
Evolutionary Control of CML Systems....Pages 191-235
Chaotic Systems Reconstruction....Pages 237-264
Evolutionary Reconstruction of Chaotic Systems....Pages 265-291
Cryptography Based on Spatiotemporal Chaotic Systems....Pages 293-328
Evolutionary Decryption of Chaotically Encrypted Information....Pages 329-343
Chaos Synthesis by Evolutionary Algorithms....Pages 345-382
Evolutionary Synchronization of Chaotic Systems....Pages 385-407
Evolutionary Optimization and Dynamic Fitness Landscapes....Pages 409-446
Controller Parameters Optimization on a Representative Set of Systems Using Deterministic-Chaotic-Mutation Evolutionary Algorithms....Pages 447-480
Chaotic Attributes and Permutative Optimization....Pages 481-517
Frontiers....Pages 519-521