Editors:
- Provides a timely review and summary of the latest
- developments of nature-inspired computation and their diverse applications in
- Reviews both theoretical studies and applications
- Focuses on diverse applications and detailed descriptions of algorithms and backgrounds
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 637)
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Table of contents (13 chapters)
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Front Matter
About this book
This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications in engineering. Algorithms and topics include the overview and history of nature-inspired algorithms, discrete firefly algorithm, discrete cuckoo search, plant propagation algorithm, parameter-free bat algorithm, gravitational search, biogeography-based algorithm, differential evolution, particle swarm optimization and others. Applications include vehicle routing, swarming robots, discrete and combinatorial optimization, clustering of wireless sensor networks, cell formation, economic load dispatch, metamodeling, surrogated-assisted cooperative co-evolution, data fitting and reverse engineering as well as other case studies in engineering. This book will be an ideal reference for researchers, lecturers, graduates and engineers who are interested in nature-inspired computation, artificial intelligence and computational intelligence. It can also serveas a reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization and data mining.
Editors and Affiliations
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School of Science and Technology, Middlesex University, London, United Kingdom
Xin-She Yang
Bibliographic Information
Book Title: Nature-Inspired Computation in Engineering
Editors: Xin-She Yang
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-30235-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-30233-1Published: 30 March 2016
Softcover ISBN: 978-3-319-80757-7Published: 25 April 2018
eBook ISBN: 978-3-319-30235-5Published: 19 March 2016
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 276
Number of Illustrations: 20 b/w illustrations, 34 illustrations in colour