Multi-objective Swarm Intelligence / Studies in Computational Intelligence Bd.592 (PDF)
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
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.
- 2015, 2015, 201 Seiten, Englisch
- Herausgegeben: Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3662463091
- ISBN-13: 9783662463093
- Erscheinungsdatum: 10.03.2015
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 7.80 MB
- Mit Kopierschutz
- Vorlesefunktion
Schreiben Sie einen Kommentar zu "Multi-objective Swarm Intelligence / Studies in Computational Intelligence Bd.592".
Kommentar verfassen