Kochetov / Bykadorov / Gruzdeva Mathematical Optimization Theory and Operations Research

19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Revised Selected Papers
1. Auflage 2020
ISBN: 978-3-030-58657-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 438 Seiten

Reihe: Communications in Computer and Information Science

This book constitutes refereed proceedings of the 19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020, held in Novosibirsk, Russia, 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.

Zielgruppe

Research

Autoren/Hrsg.

Kochetov, Yury

Bykadorov, Igor

Gruzdeva, Tatiana

Inhaltsverzeichnis

Combinatorial Optimization.- Mathematical Programming.- Global Optimization.- Game Theory and Mathematical Economics.- Heuristics and Metaheuristics.- Machine Learning and Data Analysis.