Evolutionary Algorithms and Chaotic Systems

  • Ivan Zelinka
  • Sergej Celikovsky
  • Hendrik Richter
  • Guanrong Chen

Part of the Studies in Computational Intelligence book series (SCI, volume 267)

Table of contents

  1. Front Matter
    Pages I-XXIV
  2. Theory

    1. Front Matter
      Pages 1-1
    2. Ivan Zelinka, Hendrik Richter
      Pages 37-88
    3. Sergej Celikovsky, Ivan Zelinka
      Pages 89-143
    4. Donald Davendra
      Pages 145-161
  3. Applications

    1. Front Matter
      Pages 163-163
    2. Roman Senkerik, Ivan Zelinka, Donald Davendra, Zuzana Oplatkova
      Pages 165-190
    3. Ivan Zelinka
      Pages 191-235
    4. Mohammed Chadli
      Pages 237-264
    5. Ivan Zelinka, Ales Raidl
      Pages 265-291
    6. Ping Li, Zhong Li, Wolfgang A. Halang, Guanrong Chen
      Pages 293-328
    7. Ivan Zelinka, Roman Jasek
      Pages 329-343
    8. Ivan Zelinka, Guanrong Chen, Sergej Celikovsky
      Pages 345-382
    9. Ivan Zelinka, Ales Raidl
      Pages 385-407
    10. Donald Davendra, Ivan Zelinka, Godfrey Onwubolu
      Pages 481-517
    11. Ivan Zelinka, Sergej Celikovsky
      Pages 519-521

About this book


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.


algorithms behavior chaos theory computer computer science control cryptography deterministic chaos evolution evolutionary algorithm evolutionary computation intelligence mathematics mutation optimization

Editors and affiliations

  • Ivan Zelinka
    • 1
  • Sergej Celikovsky
    • 2
  • Hendrik Richter
    • 3
  • Guanrong Chen
    • 4
  1. 1.Department of Applied Informatics Faculty of Applied InformaticsTomas Bata Univerzity in ZlinZlinCzech Republic
  2. 2.Department of Control Engineering Faculty of Electrical EngineeringCzech Technical University in Prague UTIA AV CRPrague 8Czech Republic
  3. 3.Faculty of Electrical Engineering & Information TechnologyHTWK LeipzigLeipzigGermany
  4. 4.Department of Electronic EngineeringCity University of Hong KongKowloonHong Kong SAR P. R. China

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-10706-1
  • Online ISBN 978-3-642-10707-8
  • Series Print ISSN 1860-949X
  • Buy this book on publisher's site