Multi-objective Swarm Intelligence: Theoretical Advances and Applications

Dehuri, Satchidananda (Editor)/ Jagadev, Alok Kumar (Editor)/ Panda, Mrutyunjaya (Editor)

ISBN 10: 3662523655 / ISBN 13: 9783662523650

Editore: Springer-Verlag New York Inc, 2016

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reprint edition. 215 pages. 9.25x6.10x0.46 inches. In Stock.

Codice articolo x-3662523655

Dati bibliografici

• Titolo: Multi-objective Swarm Intelligence: Theoretical Advances and Applications
• Editore: Springer-Verlag New York Inc
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 3662523655
• ISBN 13: 9783662523650
• Rilegatura: Paperback
• Condizione: Brand New
• Peso: 3,35 chilogrammi

Descrizione articolo

Riassunto

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.