Overview
- Includes recent research on metaheuristics for biomedical engineering
- Explores both theoretical and applications aspects
- Written by leading experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 704)
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About this book
To deal with these problems, many traditional and recent methods, algorithms and techniques have been proposed. Among them, metaheuristics is the most common choice. This book provides essential content for senior and young researchers interested in methodologies for implementing metaheuristics to help solve biomedical engineering problems.
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Keywords
Table of contents (11 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Metaheuristics for Medicine and Biology
Editors: Amir Nakib, El-Ghazali Talbi
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-662-54428-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Germany 2017
Hardcover ISBN: 978-3-662-54426-6Published: 30 March 2017
Softcover ISBN: 978-3-662-57196-5Published: 25 July 2018
eBook ISBN: 978-3-662-54428-0Published: 22 March 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVIII, 211
Number of Illustrations: 53 b/w illustrations, 67 illustrations in colour
Topics: Computational Intelligence, Biomedical Engineering and Bioengineering, Artificial Intelligence