| 書目名稱 | Evolutionary and Swarm Intelligence Algorithms |
| 編輯 | Jagdish Chand Bansal,Pramod Kumar Singh,Nikhil R. |
| 視頻video | http://file.papertrans.cn/319/318053/318053.mp4 |
| 概述 | Presents recent research in evolutionary algorithms.Includes state-of-the-art research in swarm intelligence.Written by experts in the field |
| 叢書名稱 | Studies in Computational Intelligence |
| 圖書封面 |  |
| 描述 | This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike. |
| 出版日期 | Book 2019 |
| 關(guān)鍵詞 | Computational Intelligence; Evolutionary Algorithms; Swarm Intelligence; Evolutionary Intelligence; Swar |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-91341-4 |
| isbn_softcover | 978-3-030-08229-1 |
| isbn_ebook | 978-3-319-91341-4Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer International Publishing AG, part of Springer Nature 2019 |
|Archiver|手機(jī)版|小黑屋|
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