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. 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 The series Studies in Computational Intelligence (SCI) publishes new developments and advances in the various areas of computational intelligence - quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and world-wide distribution - this permits a rapid and broad dissemination of research results 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.
