Evolutionary Algorithms and Chaotic Systems

. Ed(s): Zelinka, Ivan; Celikovsky, Sergej; Richter, Hendrik; Chen, Guanrong

ISBN 10: 3642262554 / ISBN 13: 9783642262555

Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2012

Riguardo questo articolo

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. Editor(s): Zelinka, Ivan; Celikovsky, Sergej; Richter, Hendrik; Chen, Guanrong. Series: Studies in Computational Intelligence. Num Pages: 560 pages, 600 black & white illustrations, biography. BIC Classification: PH; TBC; UMB; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 30. Weight in Grams: 831. . 2012. Previously published in hardcover. Paperback. . . . . Books ship from the US and Ireland.

Codice articolo V9783642262555

Dati bibliografici

• Titolo: Evolutionary Algorithms and Chaotic Systems
• Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 3642262554
• ISBN 13: 9783642262555
• Rilegatura: Brossura
• Condizione: New

Descrizione articolo

Riassunto

dynamics.

Dalla quarta di copertina

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.