1.

Record Nr.

UNINA9910427716303321

Titolo

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

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-58657-X

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (XVI, 438 p. 109 illus., 31 illus. in color.)

Collana

Communications in Computer and Information Science, , 1865-0937 ; ; 1275

Disciplina

519.6

004.0151

Soggetti

Computer science - Mathematics

Numerical analysis

Artificial intelligence

Algorithms

Data structures (Computer science)

Information theory

Computer networks

Mathematical Applications in Computer Science

Numerical Analysis

Artificial Intelligence

Data Structures and Information Theory

Computer Communication Networks

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

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

Sommario/riassunto

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.