Mathematical Optimization Theory and Operations Research : 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6-10, 2020, Revised Selected Papers / edited by Yury Kochetov, Igor Bykadorov, Tatiana Gruzdeva.
2020
QA76.9.M35
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Title
Mathematical Optimization Theory and Operations Research : 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6-10, 2020, Revised Selected Papers / edited by Yury Kochetov, Igor Bykadorov, Tatiana Gruzdeva.
Edition
1st ed. 2020.
ISBN
9783030586577 (electronic book)
303058657X (electronic book)
9783030586560
303058657X (electronic book)
9783030586560
Published
Cham : Springer International Publishing : Imprint: Springer, 2020.
Language
English
Description
1 online resource (xvi, 438 pages).
Item Number
10.1007/978-3-030-58657-7 doi
10.1007/978-3-030-58
10.1007/978-3-030-58
Call Number
QA76.9.M35
Dewey Decimal Classification
004.0151
Summary
This book constitutes refereed proceedings of the 19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020, held in July 2020. Due to the COVID-19 pandemic the conference was held online. The 25 full papers and 8 short papers presented in this volume were carefully reviewed and selected from a total of 102 submissions. The papers in the volume are organised according to the following topical headings: combinatorial optimization; mathematical programming; global optimization; game theory and mathematical economics; heuristics and metaheuristics; machine learning and data analysis.
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Series
Communications in computer and information science ; 1275. 1865-0929
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Table of Contents
Combinatorial Optimization
Mathematical Programming
Global Optimization
Game Theory and Mathematical Economics
Heuristics and Metaheuristics
Machine Learning and Data Analysis.
Mathematical Programming
Global Optimization
Game Theory and Mathematical Economics
Heuristics and Metaheuristics
Machine Learning and Data Analysis.