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Mathematical Optimization Theory and Operations Research

23rd International Conference, MOTOR 2024, Omsk, Russia, June 30–July 6, 2024, Proceedings

  • Conference proceedings
  • Jul 2024

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14766)

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Keywords

  • Artificial intelligence
  • Combinatorial optimization
  • Graph theory
  • Numerical methods
  • Game theory
  • Optimization problems
  • Theoretical computer science
  • Computational complexity
  • Operations research
  • Decision making

About this book

This book constitutes the refereed proceedings of the 23rd International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2024, held in Omsk, Russia, during June 30 - July 6, 2024. 

The 30 full papers included in this book were carefully reviewed and selected from 79 submissions. This book also contains two invited talk. They were organized in topical sections as follows: mathematical programming; combinatorial optimization; game theory; and operations research.

Editors and Affiliations

  • Dostoevsky Omsk State University, Omsk, Russia

    Anton Eremeev

  • Krasovsky Institute of Mathematics and Mechanics, Ekaterinburg, Russia

    Michael Khachay

  • Sobolev Institute of Mathematics, Novosibirsk, Russia

    Yury Kochetov

  • Karelia Research Center of RAS, Petrozavodsk, Russia

    Vladimir Mazalov

  • University of Florida, Gainesville, USA

    Panos Pardalos

Bibliographic Information

  • Book Title: Mathematical Optimization Theory and Operations Research

  • Book Subtitle: 23rd International Conference, MOTOR 2024, Omsk, Russia, June 30–July 6, 2024, Proceedings

  • Editors: Anton Eremeev, Michael Khachay, Yury Kochetov, Vladimir Mazalov, Panos Pardalos

  • Series Title: Lecture Notes in Computer Science

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-62791-0Due: 23 July 2024

  • eBook ISBN: 978-3-031-62792-7Due: 23 July 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXVI, 454

  • Number of Illustrations: 96 b/w illustrations

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