Dehuri / Jagadev / Panda Multi-objective Swarm Intelligence

Theoretical Advances and Applications
Erscheinungsjahr 2015
ISBN: 978-3-662-46309-3
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 592, 201 Seiten, eBook

Reihe: 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.

Zielgruppe

Research

Autoren/Hrsg.

Dehuri, Satchidananda

Jagadev, Alok Kumar

Panda, Mrutyunjaya

Inhaltsverzeichnis

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.