Overview
- Presents a comprehensive account of the glowworm swarm optimization (GSO) algorithm
- Provides details on various aspects including the underlying ideas, theoretical foundations, algorithm development, various applications, and MATLAB programs
- Intended primarily for researchers in swarm intelligence and computational intelligence and graduate and undergraduate students
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 698)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
The book is a valuable resource for researchers as well as graduate and undergraduate studentsin the area of swarm intelligence and computational intelligence and working on these topics.
Authors and Affiliations
Bibliographic Information
Book Title: Glowworm Swarm Optimization
Book Subtitle: Theory, Algorithms, and Applications
Authors: Krishnanand N. Kaipa, Debasish Ghose
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-51595-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-51594-6Published: 18 January 2017
Softcover ISBN: 978-3-319-84694-1Published: 13 July 2018
eBook ISBN: 978-3-319-51595-3Published: 10 January 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXVI, 248
Number of Illustrations: 122 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Algorithms
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