Authors:
- 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
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
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Old Dominion University , Norfolk, USA
Krishnanand N. Kaipa
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Indian Institute of Science Bangalore , Bangalore, India
Debasish Ghose
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