Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12095)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): MOTOR: International Conference on Mathematical Optimization Theory and Operations Research
Conference proceedings info: MOTOR 2020.
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Table of contents (31 papers)
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Front Matter
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Session 1: Invited Talks
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Front Matter
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Discrete Optimization
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Front Matter
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Mathematical Programming
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Front Matter
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Game Theory
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Front Matter
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Other Volumes
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Mathematical Optimization Theory and Operations Research
About this book
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
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Sobolev Institute of Mathematics SB RAS, Novosibirsk, Russia
Alexander Kononov
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Krasovsky Institute of Mathematics and Mechanics, Yekaterinburg, Russia
Michael Khachay
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National Research University Higher School of Economics, Nizhny Novgorod, Russia
Valery A Kalyagin
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University of Florida, Gainesville, USA
Panos Pardalos
Bibliographic Information
Book Title: Mathematical Optimization Theory and Operations Research
Book Subtitle: 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Proceedings
Editors: Alexander Kononov, Michael Khachay, Valery A Kalyagin, Panos Pardalos
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-49988-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-49987-7Published: 17 June 2020
eBook ISBN: 978-3-030-49988-4Published: 29 June 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXV, 471
Number of Illustrations: 101 b/w illustrations, 36 illustrations in colour
Topics: Mathematical Applications in Computer Science, Mathematics of Computing, Discrete Mathematics in Computer Science, Theory of Computation, Data Structures and Information Theory