Multi-objective Swarm Intelligence

Theoretical Advances and Applications
Herausgegeben:Dehuri, Satchidananda; Jagadev, Alok Kumar; Panda, Mrutyunjaya

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Studies in Computational Intelligence 592
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-662-52365-0
• Softcover reprint of the original 1st ed. 2015
• Seitenzahl: 216
• Erscheinungstermin: 9. Oktober 2016
• Englisch
• Abmessung: 235mm x 155mm x 12mm
• Gewicht: 345g
• ISBN-13: 9783662523650
• ISBN-10: 3662523655
• Artikelnr.: 45999858

Inhaltsangabe

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.