Introduction to Evolutionary Computing
Language: English
Published by Springer Berlin Heidelberg, 2015
- Hardcover
- New
Seller: moluna, Greven, Germanymoluna
AbeBooks seller since July 9, 2020
Condition: New
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Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. New edition of well-established undergraduate textbook revised to offer an integrated view on evolution-based problem-solving algorithmsIncludes a new chapter on evolutionary roboticsCombines chapters on parameter tuning and control with h.
Seller Inventory # 31558385
- Title
- Introduction to Evolutionary Computing
- Author
- A.E. Eiben|J.E. Smith
- Publisher
- Springer Berlin Heidelberg
- Publication year
- 2015
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 3662448734
- ISBN 13
- 9783662448731
- Edition
- 2nd Edition
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field.
The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.
"Synopsis" may belong to another edition of this title.
About the Author
Prof. Gusz Eiben received his Ph.D. in Computer Science in 1991. He was among the pioneers of evolutionary computing research in Europe, and served in key roles in steering committees, program committees and editorial boards for all the major related events and publications. His main research areas focused on multiparent recombination, constraint satisfaction, and self-calibrating evolutionary algorithms; he is now researching broader aspects of embodied intelligence and evolutionary robotics.
Prof. James E. Smith received his Ph.D. in Computer Science in 1998. He is an associate professor of Interactive Artificial Intelligence and Head of the Artificial Intelligence Research Group in the Dept. of Computer Science and Creative Technologies of The University of the West of England, Bristol. His work has combined theoretical modelling with empirical studies in a number of areas, especially concerning self-adaptive and hybrid systems that "learn how to learn". His current research interests include optimization; machine learning and classification; memetic algorithms; statistical disclosure control; VLSI design verification; adaptive image segmentation and classification and computer vision systems for production quality control; and bioinformatics problems such as protein structure prediction and protein structure comparison.
"About the title" may belong to another edition of this title.
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