Multi-objective Swarm Intelligence

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Theoretical Advances and Applications, Studies in Computational Intelligence 592

ISBN: 3662523655
ISBN 13: 9783662523650
Herausgeber: Satchidananda Dehuri/Alok Kumar Jagadev/Mrutyunjaya Panda
Verlag: Springer Verlag GmbH
Umfang: xiv, 201 S., 49 s/w Illustr., 11 farbige Illustr., 201 p. 60 illus., 11 illus. in color.
Erscheinungsdatum: 09.10.2016
Auflage: 1/2015
Produktform: Kartoniert
Einband: KT

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.       

Artikelnummer: 9930968 Kategorie:

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