Adaptation and hybridization in computational intelligence / Iztok Fister, Iztok Fister Jr., editors.
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 tac...
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| Other Authors: | , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Cham [Switzerland] :
Springer,
2015.
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| Series: | Adaptation, learning and optimization ;
volume 18. |
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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. |
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| Physical Description: | 1 online resource. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 3319143999 9783319143996 3319144006 9783319144009 |