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Mathematical Optimization Theory and Operations Research: Recent Trends

22nd International Conference, MOTOR 2023, Ekaterinburg, Russia, July 2–8, 2023, Revised Selected Papers

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Michael Khachay

    1. Krasovsky Institute of Mathematics and Mechanics, Ekaterinburg, Russia

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  2. Yury Kochetov

    1. Sobolev Institute of Mathematics, Novosibirsk, Russia

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  3. Anton Eremeev

    1. Sobolev Institute of Mathematics, Omsk, Russia

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  4. Oleg Khamisov

    1. Melentiev Energy Systems Institute, Irkutsk, Russia

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  5. Vladimir Mazalov

    1. Institute of Applied Mathematical Research, Petrozavodsk, Russia

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  6. Panos Pardalos

    1. University of Florida, Gainesville, USA

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1881)

Included in the following conference series:

Conference proceedings info: MOTOR 2023.

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Table of contents (29 papers)

  1. Front Matter

    Pages i-xvi
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  2. Invited Papers

    1. Front Matter

      Pages 1-1
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    2. Towards Subderivative-Based Zeroing Neural Networks

      • Predrag S. Stanimirović, Dimitrios Gerontitis, Vladimir N. Krutikov, Lev A. Kazakovtsev
      Pages 3-15

  3. Mathematical Programming

    1. Front Matter

      Pages 17-17
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    2. An Algorithm for Decentralized Multi-agent Feasibility Problems

      • Olga Pinyagina
      Pages 19-28

    3. Online Optimization Problems with Functional Constraints Under Relative Lipschitz Continuity and Relative Strong Convexity Conditions

      • Oleg Savchuk, Fedor Stonyakin, Mohammad Alkousa, Rida Zabirova, Alexander Titov, Alexander Gasnikov
      Pages 29-43

    4. A Cutting Method with Successive Use of Constraint Functions in Constructing Approximating Sets

      • Rashid Yarullin, Igor Zabotin
      Pages 44-53

    5. Implementing One Variant of the Successive Concessions Method for the Multi-objective Optimization Problem

      • Igor Zabotin, Oksana Shulgina, Rashid Yarullin
      Pages 54-64

  4. Stochastic Optimization

    1. Front Matter

      Pages 65-65
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    2. UCB Strategy for Gaussian and Bernoulli Multi-armed Bandits

      • M. A. Ershov, A. S. Voroshilov
      Pages 67-78

    3. Estimation of Both Unknown Parameters in Gaussian Multi-armed Bandit for Batch Processing Scenario

      • Sergey Garbar
      Pages 79-91

    4. Zero-Order Stochastic Conditional Gradient Sliding Method for Non-smooth Convex Optimization

      • Aleksandr Lobanov, Anton Anikin, Alexander Gasnikov, Alexander Gornov, Sergey Chukanov
      Pages 92-106

  5. Discrete and Combinatorial Optimization

    1. Front Matter

      Pages 107-107
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    2. Tabu Search Metaheuristic for the Penalty Minimization Personnel Task Scheduling Problem

      • Ivan Davydov, Igor Vasilyev, Anton V. Ushakov
      Pages 109-121

    3. An \(O(n\log n)\)-Time Algorithm for Linearly Ordered Packing of 2-Bar Charts into \(OPT+1\) Bins

      • Adil Erzin, Alexander Kononov, Stepan Nazarenko, Konstantin Sharankhaev
      Pages 122-133

    4. Approximation Algorithms for Graph Cluster Editing Problems with Cluster Size at Most 3 and 4

      • Victor Il’ev, Svetlana Il’eva
      Pages 134-145

    5. On Cone Partitions for the Min-Cut and Max-Cut Problems with Non-negative Edges

      • Andrei V. Nikolaev, Alexander V. Korostil
      Pages 146-160

    6. A Pattern-Based Heuristic for a Temporal Bin Packing Problem with Conflicts

      • A. Ratushnyi
      Pages 161-175

    7. Integer Models for the Total Weighted Tardiness Problem on a Single Machine

      • R. Yu. Simanchev, I.V. Urazova
      Pages 176-187

    8. Solving Maximin Location Problems on Networks with Different Metrics and Restrictions

      • Gennady G. Zabudsky
      Pages 188-200
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Other volumes

  1. Mathematical Optimization Theory and Operations Research

  2. Mathematical Optimization Theory and Operations Research: Recent Trends

Keywords

About this book

This book constitutes refereed proceedings of the 22nd International Conference on Mathematical Optimization Theory and Operations Research: Recent Trends, MOTOR 2023, held in Ekaterinburg, Russia, during July 2–8, 2023. 

The 28 full papers and one invited paper presented in this volume were carefully reviewed and selected from a total of 61 submissions. The papers in the volume are organized according to the following topical headings: mathematical programming; stochastic optimization; discrete and combinatorial optimization; operations research; optimal control and mathematical economics; and optimization in machine learning.

Editors and Affiliations

  • Krasovsky Institute of Mathematics and Mechanics, Ekaterinburg, Russia

    Michael Khachay

  • Sobolev Institute of Mathematics, Novosibirsk, Russia

    Yury Kochetov

  • Sobolev Institute of Mathematics, Omsk, Russia

    Anton Eremeev

  • Melentiev Energy Systems Institute, Irkutsk, Russia

    Oleg Khamisov

  • Institute of Applied Mathematical Research, Petrozavodsk, Russia

    Vladimir Mazalov

  • University of Florida, Gainesville, USA

    Panos Pardalos

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