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Multi-Objective Swarm Intelligence

Multi-Objective Swarm Intelligence Theoretical Advances and Applications - Studies in Computational Intelligence

Softcover reprint of the original 1st Edition 2015

Paperback (09 Oct 2016)

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Publisher's Synopsis

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.       

Book information

ISBN: 9783662523650
Publisher: Springer Berlin Heidelberg
Imprint: Springer
Pub date:
Edition: Softcover reprint of the original 1st Edition 2015
Language: English
Number of pages: 201
Weight: 3343g
Height: 235mm
Width: 155mm
Spine width: 12mm