Spatially Structured Evolutionary Algorithms: Artificial Evolution in Space and Time - Couverture souple

Tomassini, Marco

9783642063398: Spatially Structured Evolutionary Algorithms: Artificial Evolution in Space and Time

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ISBN 10 : 364206339X ISBN 13 : 9783642063398

Editeur : Springer, 2010

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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.

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� propos de l?auteur

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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�diteur: Springer
Date d'�dition: 2010
Langue: anglais
ISBN 10: 364206339X
ISBN 13: 9783642063398
Reliure: Broch�
Nombre de pages: 208
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Spatially Structured Evolutionary Algorithms

Marco Tomassini

Edit� par Springer Berlin Heidelberg, 2010

ISBN 10 : 364206339X ISBN 13 : 9783642063398

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Uses graph concepts as a unifying theme to express the state of the art in spatially structured evolutionary algorithmsIncludes new material on non-standard networked population structures such as small-world networksThis is the first book . N� de r�f. du vendeur 5045450

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Spatially Structured Evolutionary Algorithms : Artificial Evolution in Space and Time

Marco Tomassini

Edit� par Springer Berlin Heidelberg, 2010

ISBN 10 : 364206339X ISBN 13 : 9783642063398

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Evolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. Spatially structured EAs have different properties than standard, mixing EAs. By virtue of the structured disposition of the population members they bring about 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. Moreover, there is new material on non-standard networked population structures such as small-world networks.The book should be of interest to advanced undergraduate and graduate students working in evolutionary computation, machine learning, and optimization. It should also be useful to researchers and professionals working in fields where the topological structures of populations and their evolution plays a role. N� de r�f. du vendeur 9783642063398

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Spatially Structured Evolutionary Algorithms

Marco Tomassini

Edit� par Springer Berlin Heidelberg Okt 2010, 2010

ISBN 10 : 364206339X ISBN 13 : 9783642063398

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Evolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. Spatially structured EAs have different properties than standard, mixing EAs. By virtue of the structured disposition of the population members they bring about 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. Moreover, there is new material on non-standard networked population structures such as small-world networks.The book should be of interest to advanced undergraduate and graduate students working in evolutionary computation, machine learning, and optimization. It should also be useful to researchers and professionals working in fields where the topological structures of populations and their evolution plays a role. 208 pp. Englisch. N� de r�f. du vendeur 9783642063398

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Spatially Structured Evolutionary Algorithms

Marco Tomassini

Edit� par Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2010, 2010

ISBN 10 : 364206339X ISBN 13 : 9783642063398

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Taschenbuch. Etat : Neu. Neuware -Evolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. Spatially structured EAs have different properties than standard, mixing EAs. By virtue of the structured disposition of the population members they bring about 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. Moreover, there is new material on non-standard networked population structures such as small-world networks.The book should be of interest to advanced undergraduate and graduate students working in evolutionary computation, machine learning, and optimization. It should also be useful to researchers and professionals working in fields where the topological structures of populations and their evolution plays a role.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 208 pp. Englisch. N� de r�f. du vendeur 9783642063398

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