Spatially Structured Evolutionary Algorithms: Artificial Evolution in Space and Time

Author:   Marco Tomassini
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of hardcover 1st ed. 2005
ISBN:  

9783642063398


Pages:   193
Publication Date:   21 October 2010
Format:   Paperback
Availability:   In Print   Availability explained
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Spatially Structured Evolutionary Algorithms: Artificial Evolution in Space and Time


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Full Product Details

Author:   Marco Tomassini
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of hardcover 1st ed. 2005
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783642063398


ISBN 10:   364206339
Pages:   193
Publication Date:   21 October 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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From the reviews: The focus of this very interesting book is on evolutionary heuristic algorithms and in particular those evolutionary algorithms that are 'spatially structured' which exhibit slightly different properties than standard evolutionary algorithms. The book starts with a very useful introduction on graphs and cellular models, where most of the terminology is laid out. ! The book concludes with a detailed list of references and an index. (Efstratios Rappos, Zentralblatt MATH, Vol. 1089 (15), 2006) The strong points of the book is that it provides many variations in the structure of any EA, thus offering numerous options to consider when implementing an EA. This is very useful for anyone using EAs in practice. The book also contains a wealth of empirical data comparing the performance of these many variations ! . The book is quite comprehensive and contains a wealth of very valuable information for any EA practitioner. The references are also very nice and varied. (Franklin A. Mendivil, Mathematical Reviews, Issue 2007 k)


Author Information

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.

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