Multi-objective Swarm Intelligence

Theoretical Advances and Applications

201 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.       

• Reihe: Studies in Computational Intelligence
• Themen: Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI)
• ISBN: 9783662463086
• Sprache: Englisch
• Erscheinungsdatum: 26.03.2015
• Größe: 23.5 x 15.5 cm
• Verlag: Springer Berlin
• Herausgegeben von: Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda