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Multi-objective Swarm Intelligence

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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.

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Detail Information

Series Title

Studies in Computational Intelligence

Call Number

-

Publisher

: ., 2015

Collation

XIV, 201

Language

English

ISBN/ISSN

1860-949X

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Artificial Intelligence
Computational Intelligence,

Specific Detail Info

-

Statement of Responsibility

Satchidananda Dehuri

Other Information

Cataloger

Linda

Source

-

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