Models, Algorithms, and Technologies for Network Analysis : NET 2016, Nizhny Novgorod, Russia, May 2016. 1st ed. 2017

種類:

電子ブック

責任表示:

edited by Valery A. Kalyagin, Alexey I. Nikolaev, Panos M. Pardalos, Oleg A. Prokopyev

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2017

著者名:

• Kalyagin, Valery A.
• Nikolaev, Alexey I.
• Pardalos, Panos M.
• Prokopyev, Oleg A.
• SpringerLink (Online service)

シリーズ名:

Springer Proceedings in Mathematics & Statistics ; 197

ISBN:

9783319568294 [3319568299]    

注記:

Linear Max Min Fairness in Multi-commodity Flow Networks (Hamoud Bin Obaid, Theodore B. Trafalis) -- Heuristic for Maximizing Grouping Efficiency in the Cell Formation Problem (Ilya Bychkov, Mikhail Batsyn, Panos M. Pardalos) -- Efficient Methods of Multicriterial Optimization Based on the Intensive Use of Search Information (Victor Gergel, Evgeny Kozinov) -- Comparison of two heuristic algorithms for a location and design problem (Alexander Gnusarev) -- A Class of Smooth Modification of Space-Filling Curves for Global Optimization Problems (Alexey Goryachih) -- Iterative Local Search Heuristic for Truck and Trailer Routing Problem (Ivan S. Grechikhin) -- Power in network structures (Fuad Aleskerov, Natalia Meshcheryakova, Sergey Shvydun) -- Do logarithmic proximity measures outperform plain ones in graph clustering? (Vladimir Ivashkin, Pavel Chebotarev) -- Analysis of Russian Power Transmission Grid Structure: Small World Phenomena Detection (Sergey Makrushin) -- A new approach to network decomposition probl
This valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimization methods and network models. Contributions to this book are focused on new efficient algorithms and rigorous mathematical theories, which can be used to optimize and analyze mathematical graph structures with massive size and high density induced by natural or artificial complex networks. Applications to social networks, power transmission grids, telecommunication networks, stock market networks, and human brain networks are presented. Chapters in this book cover the following topics: Linear max min fairness Heuristic approaches for high-quality solutions Efficient approaches for complex multi-criteria optimization problems Comparison of heuristic algorithms New heuristic iterative local search Power in network structures Clustering nodes in random graphs Power transmission grid structure Network decomposition problems Homogeneity hypothesis testing Network analy

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