Description
Multi-objective Swarm Intelligence, 2015
Theoretical Advances and Applications
Studies in Computational Intelligence Series, Vol. 592
Coordinators: Dehuri Satchidananda, Jagadev Alok Kumar, Panda Mrutyunjaya
Language: English
Subjects for Multi-objective Swarm Intelligence:
Publication date: 10-2016
Support: Print on demand
Publication date: 03-2015
201 p. · 15.5x23.5 cm · Hardback
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 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.