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© 2020

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

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

    1. Front Matter
      Pages 155-155
    2. Ivan Belyaev, Igor Bykadorov
      Pages 157-169
    3. Denis Kuzyutin, Ekaterina Gromova, Nadezhda Smirnova
      Pages 184-199
    4. Igor’ V. Izmest’ev, Viktor I. Ukhobotov
      Pages 200-211

Other volumes

  1. 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Revised Selected Papers
  2. Mathematical Optimization Theory and Operations Research
    19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Proceedings

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