Overview
- Recent research on Multi objective Swarm Intelligence
- Presents theoretical advances and applications
- Written by leading experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 592)
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Table of contents (7 chapters)
Keywords
About this book
The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO.      Â
Editors and Affiliations
Bibliographic Information
Book Title: Multi-objective Swarm Intelligence
Book Subtitle: Theoretical Advances and Applications
Editors: Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-662-46309-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2015
Hardcover ISBN: 978-3-662-46308-6Published: 26 March 2015
Softcover ISBN: 978-3-662-52365-0Published: 09 October 2016
eBook ISBN: 978-3-662-46309-3Published: 10 March 2015
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIV, 201
Number of Illustrations: 49 b/w illustrations, 11 illustrations in colour