| 書目名稱 | Probability Collectives |
| 副標(biāo)題 | A Distributed Multi- |
| 編輯 | Anand Jayant Kulkarni,Kang Tai,Ajith Abraham |
| 視頻video | http://file.papertrans.cn/757/756860/756860.mp4 |
| 概述 | Provides the core and underlying principles and analysis of the different concepts in the framework of Collective Intelligence for modeling and controlling distributed Multi-Agent Systems.Discusses in |
| 叢書名稱 | Intelligent Systems Reference Library |
| 圖書封面 |  |
| 描述 | .This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts.. |
| 出版日期 | Book 2015 |
| 關(guān)鍵詞 | Collective Intelligence; Computational Intelligence; Distributed Multi-agent Systems; Optimization; Prob |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-16000-9 |
| isbn_softcover | 978-3-319-36521-3 |
| isbn_ebook | 978-3-319-16000-9Series ISSN 1868-4394 Series E-ISSN 1868-4408 |
| issn_series | 1868-4394 |
| copyright | Springer International Publishing Switzerland 2015 |
|Archiver|手機(jī)版|小黑屋|
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