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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Zelinka, Ivan (Επιμελητής έκδοσης), Celikovsky, Sergej (Επιμελητής έκδοσης), Richter, Hendrik (Επιμελητής έκδοσης), Chen, Guanrong (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Σειρά:Studies in Computational Intelligence, 267
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.