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Rahuls99

Multi-objective Swarm Intelligence Theoretical Advances and Applications

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b39158a720fe23bb66ebcf430b2d6abc.jpg [b]Multi-objective Swarm Intelligence: Theoretical Advances and Applications (Studies in Computational Intelligence, Book 592) by Satchidananda Dehuri and Alok Kumar Jagadev[/b] English | 2015 | ISBN: 3662463083 | 201 pages | PDF | 7,7 MB 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.7409461d53baf8ee6fe405f510a7faff.png [b]Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me[/b]
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