Mathematical Optimization Theory and Operations Research
19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Revised Selected Papers
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Beschreibung
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.
Autor*in
Yury Kochetov
Themen in »Mathematical Optimization Theory and Operations Research«
approximation theory artificial intelligence clustering algorithms clustering methods combinatorial mathematics combinatorial optimization combinatorial problems computer networks computer systems computer vision correlation analysis data mining evolutionary algorithms genetic algorithms graph theory