Multi-objective Swarm Intelligence: Theoretical Advances and Applications
Language: English
Published by Springer-Verlag New York Inc, 2016
Series: Book 116 of 538 - Studies in Computational Intelligence
- Softcover
- New
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
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reprint edition. 215 pages. 9.25x6.10x0.46 inches. In Stock.
Seller Inventory # x-3662523655
- Title
- Multi-objective Swarm Intelligence: Theoretical Advances and Applications
- Author
- Dehuri, Satchidananda (Editor)/ Jagadev, Alok Kumar (Editor)/ Panda, Mrutyunjaya (Editor)
- Publisher
- Springer-Verlag New York Inc
- Publication year
- 2016
- Condition
- Brand New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 3662523655
- ISBN 13
- 9783662523650
- Item weight
- 3.35 kilograms
- Series
- Book 116 of 538: Studies in Computational Intelligence
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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