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Titlebook: Optimization, Learning, and Control for Interdependent Complex Networks; M. Hadi Amini Book 2020 Springer Nature Switzerland AG 2020 inter

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發(fā)表于 2025-3-21 19:54:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Optimization, Learning, and Control for Interdependent Complex Networks
編輯M. Hadi Amini
視頻videohttp://file.papertrans.cn/704/703320/703320.mp4
概述Speci?es the importance of e?cient theoretical methods in dealing with problems in the context of interdependent networks.Provides a comprehensive investigation of recently developed algorithms for la
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Optimization, Learning, and Control for Interdependent Complex Networks;  M. Hadi Amini Book 2020 Springer Nature Switzerland AG 2020 inter
描述.This book focuses on a wide range of optimization, learning, and control algorithms for interdependent complex networks and their role in smart cities operation, smart energy systems, and intelligent transportation networks. It paves the way for researchers working on optimization, learning, and control spread over the ?elds of computer science, operation research, electrical engineering, civil engineering, and system engineering. This book also covers optimization algorithms for large-scale problems from theoretical foundations to real-world applications, learning-based methods to enable intelligence in smart cities, and control techniques to deal with the optimal and robust operation of complex systems. It further introduces novel algorithms for data analytics in large-scale interdependent complex networks. .??? Speci?es the importance of efficient theoretical optimization and learning methods in ???dealing with emerging problems in the context of interdependent networks .??? Provides a comprehensive investigation of advance data analytics and machine learning algorithms for large-scale complex networks .??? Presents basics and mathematical foundations needed to enable efficient
出版日期Book 2020
關(guān)鍵詞interdependent infrastructure; large-scale complex networks; optimization theory; machine learning; smar
版次1
doihttps://doi.org/10.1007/978-3-030-34094-0
isbn_softcover978-3-030-34096-4
isbn_ebook978-3-030-34094-0Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Promises of Fully Distributed Optimization for IoT-Based Smart City Infrastructures solution for a collaborative decision making problem through iterative agent-based computations and limited inter-agent communications. This algorithm enables fully distributed coordination of agents, plug-and-play capability, and scalability of the solution algorithm for future network expansion.
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2194-5357 ensive investigation of recently developed algorithms for la.This book focuses on a wide range of optimization, learning, and control algorithms for interdependent complex networks and their role in smart cities operation, smart energy systems, and intelligent transportation networks. It paves the w
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M. Hadi AminiSpeci?es the importance of e?cient theoretical methods in dealing with problems in the context of interdependent networks.Provides a comprehensive investigation of recently developed algorithms for la
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