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Multi-objective Swarm Intelligence = Theoretical Advances and Applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multi-objective Swarm Intelligence/ edited by Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda.
Reminder of title:	Theoretical Advances and Applications /
other author:	Dehuri, Satchidananda.
Description:	XIV, 201 p. 60 illus., 11 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-662-46309-3
ISBN:	9783662463093

Multi-objective Swarm Intelligence = Theoretical Advances and Applications /
Multi-objective Swarm IntelligenceTheoretical Advances and Applications /[electronic resource] :edited by Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda. - 1st ed. 2015. - XIV, 201 p. 60 illus., 11 illus. in color.online resource. - Studies in Computational Intelligence,5921860-949X ;. - Studies in Computational Intelligence,564.

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.

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. .

ISBN: 9783662463093

Standard No.: 10.1007/978-3-662-46309-3doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Multi-objective Swarm Intelligence = Theoretical Advances and Applications /
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