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Mathematical Optimization Theory and Operations Research

19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Proceedings

  • Alexander Kononov
  • Michael Khachay
  • Valery A Kalyagin
  • Panos Pardalos
Conference proceedings MOTOR 2020
  • 6.3k Downloads

Part of the Lecture Notes in Computer Science book series (LNCS, volume 12095)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 12095)

Table of contents

  1. Front Matter
    Pages i-xxxv
  2. Session 1: Invited Talks

    1. Front Matter
      Pages 1-1
  3. Discrete Optimization

    1. Front Matter
      Pages 33-33
    2. Anton V. Eremeev, Alexander S. Yurkov
      Pages 35-48
    3. Giuseppe Lancia, Eleonora Pippia, Franca Rinaldi
      Pages 69-84
  4. Mathematical Programming

    1. Front Matter
      Pages 99-99
    2. Rentsen Enkhbat, Tatiana V. Gruzdeva, Jamsranjav Enkhbayr
      Pages 101-114
    3. Tatiana V. Gruzdeva, Alexander S. Strekalovsky
      Pages 115-127
  5. Game Theory

  6. Scheduling Problem

  7. Heuristics and Metaheuristics

  8. Operational Research Applications

    1. Front Matter
      Pages 389-389
    2. Ekaterina Alekseeva, Sana Ghariani, Nicolas Wolters
      Pages 391-405
    3. Pavel Dvurechensky, Alexander Gasnikov, Sergey Omelchenko, Alexander Tiurin
      Pages 406-423
    4. Andrey V. Savchenko, Vladimir V. Savchenko, Lyudmila V. Savchenko
      Pages 440-454
    5. Igor Vasilyev, Dong Zhang, Jie Ren
      Pages 455-469
  9. Back Matter
    Pages 471-471

About these proceedings

Introduction

This book constitutes the proceedings of the 19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020, held in Novosibirsk, Russia, in July 2020. The 31 full papers presented in this volume were carefully reviewed and selected from 102 submissions. The papers are grouped in these topical sections: discrete optimization; mathematical programming; game theory; scheduling problem; heuristics and metaheuristics; and operational research applications.


Keywords

discrete optimization continuous optimization mixed discrete-continuous optimization operations research game theory global optimization networks machine learning mathematical economics artificial intelligence computer networks evolutionary algorithms genetic algorithms problem solving telecommunication networks telecommunication traffic

Editors and affiliations

  1. 1.Sobolev Institute of Mathematics SB RASNovosibirskRussia
  2. 2.Krasovsky Institute of Mathematics and MechanicsYekaterinburgRussia
  3. 3.National Research University Higher School of EconomicsNizhny NovgorodRussia
  4. 4.University of FloridaGainesvilleUSA

Bibliographic information