Multi-Objective Swarm Intelligence Theoretical Advances and Applications |
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| Editor:
| Dehuri, Satchidananda
Jagadev, Alok Kumar
Panda, Mrutyunjaya |
| Series title: | Studies in Computational Intelligence Ser. |
| ISBN: | 978-3-662-52365-0 |
| Publication Date: | Oct 2016 |
| Publisher: | Springer
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| Book Format: | Paperback |
| List Price: | AUD $228.95 |
Book Description:
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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...
More Description
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.