Multi-objective Swarm Intelligence
Theoretical Advances and Applications
(Sprache: Englisch)
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...
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Klappentext zu „Multi-objective Swarm 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.
Inhaltsverzeichnis zu „Multi-objective Swarm Intelligence “
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.
Bibliographische Angaben
- 2016, Softcover reprint of the original 1st ed. 2015, XIV, 201 Seiten, 11 farbige Abbildungen, Maße: 15,7 x 23,4 cm, Kartoniert (TB), Englisch
- Herausgegeben: Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda
- Verlag: Springer, Berlin
- ISBN-10: 3662523655
- ISBN-13: 9783662523650
Sprache:
Englisch
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