Adaptation and Hybridization in Computational Intelligence
Language: English
Published by Springer, 2015
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 108.43
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Add to basketItem description from seller
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.
Seller Inventory # 9783319143996
- Title
- Adaptation and Hybridization in Computational Intelligence
- Author
- Iztok Fister Jr.
- Publisher
- Springer
- Publication year
- 2015
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3319143999
- ISBN 13
- 9783319143996
- Item weight
- 489 grams
- Dimensions
- 241x160x20 mm
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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