Produktnummer:
186050036f77b74ab5a08f7580df948e1b
| Themengebiete: | Computational Intelligence Multi-Objective Optimization Multi-objective Swarm Intelligence Population-Based Meta-Heuristics Swarm Intelligence |
|---|---|
| Veröffentlichungsdatum: | 26.03.2015 |
| EAN: | 9783662463086 |
| Sprache: | Englisch |
| Seitenzahl: | 201 |
| Produktart: | Gebunden |
| Herausgeber: | Dehuri, Satchidananda Jagadev, Alok Kumar Panda, Mrutyunjaya |
| Verlag: | Springer Berlin |
| Untertitel: | Theoretical Advances and Applications |
Produktinformationen "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.
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