Adaptation and Hybridization in Computational Intelligence (Adaptation, Learning, and Optimization, 18)
ISBN 10: 3319359053 ISBN 13: 9783319359052
Editorial: Springer, 2016
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In. N° de ref. del artículo ria9783319359052_new
Sinopsis:
This carefully edited book takes a walk through recent advances in adaptation and hybridization in the Computational Intelligence (CI) domain. It consists of ten chapters that are divided into three parts. The first part illustrates background information and provides some theoretical foundation tackling the CI domain, the second part deals with the adaptation in CI algorithms, while the third part focuses on the hybridization in CI.
This book can serve as an ideal reference for researchers and students of computer science, electrical and civil engineering, economy, and natural sciences that are confronted with solving the optimization, modeling and simulation problems. It covers the recent advances in CI that encompass Nature-inspired algorithms, like Artificial Neural networks, Evolutionary Algorithms and Swarm Intelligence -based algorithms.
De la contraportada:
This carefully edited book takes a walk through recent advances in adaptation and
hybridization in the Computational Intelligence (CI) domain. It consists of ten chapters that
are divided into three parts. The first part illustrates background information and provides
some theoretical foundation tackling the CI domain, the second part
deals with the adaptation in CI algorithms, while the third part focuses on the hybridization in CI.
This book can serve as an ideal reference for researchers and students of computer science, electrical and civil engineering, economy, and natural sciences that are confronted with solving the optimization,
modeling and simulation problems. It covers the recent advances in CI that encompass Nature-inspired algorithms, like Artificial Neural networks, Evolutionary Algorithms and Swarm Intelligence based algorithms.
"Sobre este título" puede pertenecer a otra edición de este libro.
Detalles bibliográficos
Título: Adaptation and Hybridization in ...
Editorial: Springer
Año de publicación: 2016
Encuadernación: Encuadernación de tapa blanda
Condición: New
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Adaptation and Hybridization in Computational Intelligence
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Springer International Publishing, 2016
ISBN 10: 3319359053
ISBN 13: 9783319359052
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents recent research in self-adaptation techniques in computational intelligence algorithms and applications as well as theoretical analysisProvides both theoretical treatments and real-world insights gained by experienceComprehensive r. Nº de ref. del artículo: 448747118
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Adaptation and Hybridization in Computational Intelligence
Publicado por
Springer International Publishing, 2016
ISBN 10: 3319359053
ISBN 13: 9783319359052
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Taschenbuch. Condición: Neu. Adaptation and Hybridization in Computational Intelligence | Iztok Fister Jr. (u. a.) | Taschenbuch | x | Englisch | 2016 | Springer International Publishing | EAN 9783319359052 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 102876896
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Adaptation and Hybridization in Computational Intelligence (Adaptation, Learning, and Optimization, 18)
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Adaptation and Hybridization in Computational Intelligence
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ISBN 10: 3319359053
ISBN 13: 9783319359052
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Taschenbuch. Condición: Neu. Neuware -This carefully edited book takes a walk through recent advances in adaptation and hybridization in the Computational Intelligence (CI) domain. It consists of ten chapters thatare divided into three parts. The first part illustrates background information and provides some theoretical foundation tackling the CI domain, the second partdeals with the adaptation in CI algorithms, while the third part focuses on the hybridization in CI.This book can serve as an ideal reference for researchers and students of computer science, electrical and civil engineering, economy, and natural sciences that are confronted with solving the optimization, modeling and simulation problems. It covers the recent advances in CI that encompass Nature-inspired algorithms, like Artificial Neural networks, Evolutionary Algorithms and Swarm Intelligence ¿based algorithms.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch. Nº de ref. del artículo: 9783319359052
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Adaptation and Hybridization in Computational Intelligence
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Springer International Publishing, 2016
ISBN 10: 3319359053
ISBN 13: 9783319359052
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This carefully edited book takes a walk through recent advances in adaptation and hybridization in the Computational Intelligence (CI) domain. It consists of ten chapters that are divided into three parts. The first part illustrates background information and provides some theoretical foundation tackling the CI domain, the second part deals with the adaptation in CI algorithms, while the third part focuses on the hybridization in CI.This book can serve as an ideal reference for researchers and students of computer science, electrical and civil engineering, economy, and natural sciences that are confronted with solving the optimization, modeling and simulation problems. It covers the recent advances in CI that encompass Nature-inspired algorithms, like Artificial Neural networks, Evolutionary Algorithms and Swarm Intelligence -based algorithms. Nº de ref. del artículo: 9783319359052
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Adaptation and Hybridization in Computational Intelligence
Publicado por
Springer International Publishing Okt 2016, 2016
ISBN 10: 3319359053
ISBN 13: 9783319359052
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This carefully edited book takes a walk through recent advances in adaptation and hybridization in the Computational Intelligence (CI) domain. It consists of ten chapters that are divided into three parts. The first part illustrates background information and provides some theoretical foundation tackling the CI domain, the second part deals with the adaptation in CI algorithms, while the third part focuses on the hybridization in CI.This book can serve as an ideal reference for researchers and students of computer science, electrical and civil engineering, economy, and natural sciences that are confronted with solving the optimization, modeling and simulation problems. It covers the recent advances in CI that encompass Nature-inspired algorithms, like Artificial Neural networks, Evolutionary Algorithms and Swarm Intelligence -based algorithms. 248 pp. Englisch. Nº de ref. del artículo: 9783319359052
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