| Title | : | Multi-objective Swarm Intelligence |
|---|---|---|
| Author | : | Satchidananda Dehuri, Alok Kumar Jagadev & Mrutyunjaya Panda |
| Release | : | 2015-03-10 |
| Kind | : | ebook |
| Genre | : | Computers & Internet, Books, Computers, Professional & Technical, Engineering |
| Size | : | 5428471 |
| 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. |
