Satchidananda (Hrsg.) Dehuri
Multi-objective Swarm Intelligence
Theoretical Advances and Applications
Buch
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 discuss…
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Beschreibung
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.
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Produktdetails
Weitere Autoren: Panda, Mrutyunjaya (Hrsg.) / Jagadev, Alok Kumar (Hrsg.)
- ISBN: 978-3-662-46308-6
- EAN: 9783662463086
- Produktnummer: 17447244
- Verlag: Springer Berlin Heidelberg
- Sprache: Englisch
- Erscheinungsjahr: 2015
- Seitenangabe: 216 S.
- Masse: H24.1 cm x B16.0 cm x D1.7 cm 494 g
- Auflage: 2015
- Abbildungen: HC runder Rücken kaschiert
- Gewicht: 494
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