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Mathematical Optimization Theory and Operations Research

21st International Conference, MOTOR 2022, Petrozavodsk, Russia, July 2–6, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Panos Pardalos

    1. University of Florida, Gainesville, USA

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  2. Michael Khachay

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

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    You can also search for this editor in PubMed   Google Scholar

  3. Vladimir Mazalov

    1. Karelia Research Centre RAS, Institute of Applied Mathematical Research, Petrozavodsk, Russia

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13367)

Included in the following conference series:

Conference proceedings info: MOTOR 2022.

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About this book

This book constitutes the proceedings of the 21st International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2022, held in Petrozavodsk, Russia, in July 2022.

 

The 21 full papers presented together with 6 invited abstracts lectures and 2 tutorial abstracts in this volume were carefully reviewed and selected from 88 submissions. The conference focuses on the following topics: Mathematical programming, bi-level and global optimization, integer programming and combinatorial optimization, approximation algorithms with theoretical guarantees and approximation schemes, heuristics and meta-heuristics, game theory, optimal control, optimization in machine learning and data analysis, and their valuable applications in operations research and economics.


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Table of contents (21 papers)

  1. Front Matter

    Pages i-xxv
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  2. Mathematical Programming

    1. Front Matter

      Pages 1-1
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    2. On the Convergence Analysis of Aggregated Heavy-Ball Method

      • Marina Danilova
      Pages 3-17

    3. Noisy Zeroth-Order Optimization for Non-smooth Saddle Point Problems

      • Darina Dvinskikh, Vladislav Tominin, Iaroslav Tominin, Alexander Gasnikov
      Pages 18-33

    4. Application of the Subdifferential Descent Method to a Classical Nonsmooth Variational Problem

      • Alexander Fominyh
      Pages 34-45

    5. Primal-Dual Method for Optimization Problems with Changing Constraints

      • Igor Konnov
      Pages 46-61

    6. Decentralized Convex Optimization Under Affine Constraints for Power Systems Control

      • Demyan Yarmoshik, Alexander Rogozin, Oleg. O. Khamisov, Pavel Dvurechensky, Alexander Gasnikov
      Pages 62-75

  3. Heuristics and Metaheurisitcs

    1. Front Matter

      Pages 77-77
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    2. Metaheuristic Approach to Spectral Reconstruction of Graphs

      • Petar Ćirković, Predrag Đorđević, Miloš Milićević, Tatjana Davidović
      Pages 79-93

    3. Variable Neighborhood Search for Multi-label Feature Selection

      • Luka Matijević
      Pages 94-107

    4. Dispersion Problem Under Capacity and Cost Constraints: Multiple Neighborhood Tabu Search

      • Nenad Mladenović, Raca Todosijević, Dragan Urošević
      Pages 108-122

    5. Multiple Project Scheduling for a Network Roll-Out Problem: MIP Formulation and Heuristic

      • Igor Vasilyev, Dmitry Rybin, Sergey Kudria, Jie Ren, Dong Zhang
      Pages 123-136

  4. Applications

    1. Front Matter

      Pages 137-137
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    2. On a Nonconvex Distance-Based Clustering Problem

      • Tatiana V. Gruzdeva, Anton V. Ushakov
      Pages 139-152

    3. On Solving One Spectral Problem

      • Vladimir Zubov, Alla Albu
      Pages 153-166

  5. Mathematical Economy

    1. Front Matter

      Pages 167-167
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    2. Optimal Arrivals to Preemptive Queueing System

      • Julia V. Chirkova, Vladimir V. Mazalov
      Pages 169-181

    3. Multistage Inventory Model with Probabilistic and Quantile Criteria

      • Sergey V. Ivanov, Aleksandra V. Mamchur
      Pages 182-193

    4. Pricing in Two-Sided Markets on the Plain with Different Agent Types

      • Elena Konovalchikova, Anna Ivashko
      Pages 194-209

    5. On the Existence of a Fuzzy Core in an Exchange Economy

      • Valeriy Marakulin
      Pages 210-217
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Other volumes

  1. Mathematical Optimization Theory and Operations Research

  2. Mathematical Optimization Theory and Operations Research: Recent Trends

Editors and Affiliations

  • University of Florida, Gainesville, USA

    Panos Pardalos

  • Krasovsky Institute of Mathematics and Mechanics, Ekaterinburg, Russia

    Michael Khachay

  • Karelia Research Centre RAS, Institute of Applied Mathematical Research, Petrozavodsk, Russia

    Vladimir Mazalov

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