| 书目名称 | Multi-objective Swarm Intelligence |
| 副标题 | Theoretical Advances |
| 编辑 | Satchidananda Dehuri,Alok Kumar Jagadev,Mrutyunjay |
| 视频video | |
| 概述 | Recent research on Multi objective Swarm Intelligence.Presents theoretical advances and applications.Written by leading experts in the field.Includes supplementary material: |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .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. . |
| 出版日期 | Book 2015 |
| 关键词 | Computational Intelligence; Multi-Objective Optimization; Multi-objective Swarm Intelligence; Populatio |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-662-46309-3 |
| isbn_softcover | 978-3-662-52365-0 |
| isbn_ebook | 978-3-662-46309-3Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2015 |
发表于 2025-3-21 17:49:17
