Spatially Structured Evolutionary Algorithms
Language: English
Published by Springer, Springer Okt 2010, 2010
Series: Book 2 of 32 - Natural Computing
- Softcover
- New
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
AbeBooks seller since January 23, 2017
Condition: New
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Add to basketItem description from seller
This item is printed on demand - Print on Demand Titel. Neuware -Evolutionary algorithms (EAs) are accepted as a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. The unique properties of spatially structured EAs evoke new dynamical features that can be harnessed to solve difficult problems faster and more efficiently. This book describes the state of the art in spatially structured EAs by using graph concepts as a unifying theme. The models, their analysis, and their empirical behavior are presented in detail. Included is new material on non-standard networked population structures such as small-world networks. The book will be of interest to advanced undergraduate and graduate students working in evolutionary computation, machine learning, and optimization, and also to researchers and professionals working in fields where the topological structures of populations and their evolution plays a role.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 208 pp. Englisch.…
Seller Inventory # 9783642063398
- Title
- Spatially Structured Evolutionary Algorithms
- Author
- Marco Tomassini
- Publisher
- Springer, Springer Okt 2010
- Publication year
- 2010
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 364206339X
- ISBN 13
- 9783642063398
- Item weight
- 324 grams
- Dimensions
- 235x155x12 mm
- Series
- Book 2 of 32: Natural Computing
Evolutionary algorithms (EAs) are accepted as a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. The unique properties of spatially structured EAs evoke new dynamical features that can be harnessed to solve difficult problems faster and more efficiently. This book describes the state of the art in spatially structured EAs by using graph concepts as a unifying theme. The models, their analysis, and their empirical behavior are presented in detail. Included is new material on non-standard networked population structures such as small-world networks. The book will be of interest to advanced undergraduate and graduate students working in evolutionary computation, machine learning, and optimization, and also to researchers and professionals working in fields where the topological structures of populations and their evolution plays a role.
"Synopsis" may belong to another edition of this title.
About the Author
Marco Tomassini is a professor of Computer Science at the Information Systems Department of the University of Lausanne, Switzerland. He graduated in physical and chemical sciences in Mendoza, Argentina, and got a PhD degree in theoretical chemistry from the University of Perugia, Italy, working on computer simulations of condensed matter systems. His current research interests are centered around the application of biological ideas to artificial systems. He is active in evolutionary computation, especially spatially structured systems, genetic programming, and evolvable machines. He is also interested in machine learning, parallel cellular computing systems, and the dynamical properties of networked complex systems. He has been Program Chairman of several international events and has published many scientific papers and several authored and edited books in these fields.
"About the title" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
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