Multi-objective Swarm Intelligence: Theoretical Advances and Applications by Satchidananda DehuriMulti-objective Swarm Intelligence: Theoretical Advances and Applications by Satchidananda Dehuri

Multi-objective Swarm Intelligence: Theoretical Advances and Applications

bySatchidananda DehuriEditorAlok Kumar Jagadev, Mrutyunjaya Panda

Hardcover | March 26, 2015

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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.

Title:Multi-objective Swarm Intelligence: Theoretical Advances and ApplicationsFormat:HardcoverDimensions:201 pagesPublished:March 26, 2015Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3662463083

ISBN - 13:9783662463086

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Table of Contents

Introduction.- Behavior of Bacterial Colony.- E.coli Bacterial Colonies.- Optimization based on E.coli Bacterial Colony.- Classification of BFO Algorithm.- Multi-objective optimization based on BF.- An overview of BFO Applications.- Conclusion.