Synopses & Reviews
Synopsis
Part I: Network computational algorithms
1. Tabu Search for Fleet Size and Mix Vehicle Routing Problem with Hard and Soft Time Windows
Mikhail Batsyn, Ilya Bychkov, Larisa Komosko and Alexey Nikolaev
2. FPT-algorithms for The Shortest Lattice Vector and Integer Linear Programming Problems Dmitry Gribanov
3. The Video-Based Age and Gender Recognition with Convolution Neural Networks
Angelina Kharchevnikova and Andrey Savchenko
4. On forbidden induced subgraphs for the class of triangle-Konig graphs
Dmitry B. Mokeev
5. The Global Search Theory Approach to the Bilevel Pricing Problem in Telecommunication Networks
Andrei Orlov
6. Graph dichotomy algorithm and its applications to analysis of stocks market
Alexander Rubchinsky
7. Cluster analysis of facial video data in video surveillance systems using deep learning
Anastasiia Sokolova and Andrey Savchenko
8. Using modular decomposition technique to solve the maximum clique problem
Irina Utkina
Part II: Network Models
9. Robust statistical procedures for testing dynamics in market network
Alexander Koldanov and Maria Voronina
10. Application of Market Models to Network Equilibrium Problems
Igor Konnov
11. Selective Bi-coordinate Variations for Network Equilibrium Problems with Mixed Demand
Igor Konnov and Olga Pinyagina
12. Developing a Model of Topological Structure Formation for Power Transmission Grids Based on the Analysis of the UNEG
Sergey Makrushin
13. Methods of criteria importance theory and their software implementation
Andrey Nelyubin, Vladislav Podinovski and Mikhail Potapov
14. A Model of Optimal Network Structure for Decentralized Nearest Neighbor Search
Alexander Ponomarenko, Irina Utkina and Mikhail Batsyn
15. Computational Study of Activation Dynamics on Networks of Arbitrary Structure
Alexander Semenov, Dmitry Gorbatenko and Stepan Kochemazov
16. Reject
Synopsis
Contributions in this volume focus on computationally efficient algorithms and rigorous mathematical theories for analyzing large-scale networks. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks.
This proceeding is a result of the 7th International Conference in Network Analysis, held at the Higher School of Economics, Nizhny Novgorod in June 2017. The conference brought together scientists, engineers, and researchers from academia, industry, and government.