Overview
- Presents recent research in self-adaptation techniques in computational intelligence algorithms and applications as well as theoretical analysis
- Provides both theoretical treatments and real-world insights gained by experience
- Comprehensive reference for researchers, practitioners and advanced-level students interested in using computational intelligence algorithms in real-world applications
Part of the book series: Adaptation, Learning, and Optimization (ALO, volume 18)
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Table of contents (10 chapters)
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Front Matter
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Background Information and Theoretical Foundations of Computational Intelligence
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Front Matter
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Adaptation in Computational Intelligence
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Front Matter
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Hybridization in Computational Intelligence
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Front Matter
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Back Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Adaptation and Hybridization in Computational Intelligence
Editors: Iztok Fister, Iztok Fister Jr.
Series Title: Adaptation, Learning, and Optimization
DOI: https://doi.org/10.1007/978-3-319-14400-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-14399-6Published: 05 February 2015
Softcover ISBN: 978-3-319-35905-2Published: 06 October 2016
eBook ISBN: 978-3-319-14400-9Published: 24 January 2015
Series ISSN: 1867-4534
Series E-ISSN: 1867-4542
Edition Number: 1
Number of Pages: X, 237
Number of Illustrations: 41 b/w illustrations, 1 illustrations in colour