Evolutionary Algorithms and Chaotic Systems

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Ivan Zelinka, Sergej Celikovský, Hendrik Richter, Guanrong Chen
Springer Science & Business Media, Feb 23, 2010 - Computers - 560 pages
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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.

 

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Contents

Chapter 1 Motivation for Application of Evolutionary Computation to Chaotic Systems
3
Chapter 2 Evolutionary Algorithms for Chaos Researchers
37
Chapter 3 Chaos Theory for Evolutionary Algorithms Researchers
89
Chapter 4 Evolutionary Algorithms and the Edge of Chaos
145
Chapter 5 Evolutionary Design of Chaos Control in 1D
162
Chapter 6 Evolutionary Control of CML Systems
191
Chapter 7 Chaotic Systems Reconstruction
237
Chapter 8 Evolutionary Reconstruction of Chaotic Systems
265
Chapter 10 Evolutionary Decryption of Chaotically Encrypted Information
329
Chapter 11 Chaos Synthesis by Evolutionary Algorithms
345
Chapter 12 Evolutionary Synchronization of Chaotic Systems
383
Chapter 13 Evolutionary Optimization and Dynamic Fitness Landscapes From ReactionDiffusion Systems to Chaotic CML
408
Chapter 14 Controller Parameters Optimization on a Representative Set of Systems Using DeterministicChaoticMutation Evolutionary Algorithms
447
Chapter 15 Chaotic Attributes and Permutative Optimization
481
Chapter 16 Frontiers
518
Copyright

Chapter 9 Cryptography Based on Spatiotemporal Chaotic Systems
292

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