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.
Satchidananda Dehuri & Alok Kumar Jagadev
Multi-objective Swarm Intelligence [PDF ebook]
Theoretical Advances and Applications
Multi-objective Swarm Intelligence [PDF ebook]
Theoretical Advances and Applications
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语言 英语 ● 格式 PDF ● ISBN 9783662463093 ● 编辑 Satchidananda Dehuri & Alok Kumar Jagadev ● 出版者 Springer Berlin Heidelberg ● 发布时间 2015 ● 下载 3 时 ● 货币 EUR ● ID 6387678 ● 复制保护 Adobe DRM
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