Multi-objective Swarm Intelligence - Theoretical Advances and Applications (Hardcover, 2015 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Computational Intelligence, 592
Release date:	March 2015
First published:	2015
Editors:	Satchidananda Dehuri • Alok Kumar Jagadev • Mrutyunjaya Panda
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	201
Edition:	2015 ed.
ISBN-13:	978-3-662-46308-6
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-662-46308-3
Barcode:	9783662463086

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