| 書目名稱 | Computational Intelligence for Network Structure Analytics | | 編輯 | Maoguo Gong,Qing Cai,Yu Lei | | 視頻video | http://file.papertrans.cn/233/232456/232456.mp4 | | 概述 | Provides a holistic view of complex network structure analytics based on computational intelligence.Includes a rich blend of theory and practice, addressing seminal research ideas and examining the te | | 圖書封面 |  | | 描述 | This book presents the latest research advances in complex network structure analytics based on computational intelligence (CI) approaches, particularly evolutionary optimization. Most if not all network issues are actually optimization problems, which are mostly NP-hard and challenge conventional optimization techniques. To effectively and efficiently solve these hard optimization problems, CI based network structure analytics offer significant advantages over conventional network analytics techniques. ?Meanwhile, using CI techniques may facilitate smart decision making by providing multiple options to choose from, while conventional methods can only offer a decision maker a single suggestion. In addition, CI based network structure analytics can greatly facilitate network modeling and analysis. And employing CI techniques to resolve network issues is likely to inspire other fields of study such as recommender systems, system biology, etc., which will in turn expand CI’s scope and applications..As a comprehensive text, the book covers a range of key topics, including network community discovery, evolutionary optimization, network structure balance analytics, network robustness ana | | 出版日期 | Book 2017 | | 關(guān)鍵詞 | Complex Network; Network Structure Analytics; Evolutionary Optimization; Multi-objective Optimization; N | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-10-4558-5 | | isbn_softcover | 978-981-13-5167-9 | | isbn_ebook | 978-981-10-4558-5 | | copyright | Springer Nature Singapore Pte Ltd. 2017 |
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