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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Multi-objective Swarm Intelligence
• Subtitle: Theoretical Advances and Applications
• Author: Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda
• Language: English
• Binding: Paperback
• Number of pages: 201
• EAN: 9783662523650
• ISBN: 3662523655
• ID: 15202040
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Weight: 3343 g
• Dimensions: 235 × 155 × 13 mm
• Date of publishing: 09. October 2016

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