Studies in Computational Intelligence: Theoretical Advances and Applications

Dehuri, Satchidananda; Jagadev, Alok Kumar; Panda, Mrutyunjaya

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.       

Details

Published by: Springer

Publication Date: 2015-03-26

Format: Hardcover

ISBN-13: 9783662463086

DOI: 10.1007/978-3-662-46309-3

Dimensions: 235cm x155cm

Pages: 201