Multi-objective Swarm Intelligence

Theoretical Advances and Applications

By: Satchidananda Dehuri (Editor), Alok Kumar Jagadev (Editor), Mrutyunjaya Panda (Editor)

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Hardcover | 26 March 2015

At a Glance

Hardcover
216 Pages

Dimensions(cm)
23.5 x 15.88 x 1.91

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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 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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