Mathematical Optimization Theory and Operations Research

19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Revised Selected Papers

Yury Kochetov, Igor Bykadorov, Tatiana Gruzdeva (Herausgeber)

Buch | Softcover

XVI, 438 Seiten

2020 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-58656-0 (ISBN)

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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.

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

Erscheinungsdatum	15.09.2020
Reihe/Serie	Communications in Computer and Information Science
Zusatzinfo	XVI, 438 p. 109 illus., 31 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	694 g
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
Themenwelt	Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra
Schlagworte	Applications • Approximation Theory • Artificial Intelligence • clustering algorithms • Clustering Methods • Combinatorial Mathematics • combinatorial optimization • Combinatorial Problems • Computer Networks • Computer Science • Computer systems • computer vision • conference proceedings • Correlation Analysis • Data Mining • evolutionary algorithms • Genetic algorithms • graph theory • Informatics • machine learning • Numerical Methods • Optimization • Optimization Problems • Research • theoretical computer science
ISBN-10	3-030-58656-1 / 3030586561
ISBN-13	978-3-030-58656-0 / 9783030586560
Zustand	Neuware