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| Titolo: |
Mathematical Optimization Theory and Operations Research : 19th International Conference, MOTOR 2020, Novosibirsk, Russia, July 6–10, 2020, Proceedings / Alexander Kononov ... [et al.] editors
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| Pubblicazione: | Cham, : Springer, 2020 |
| Titolo uniforme: | Mathematical Optimization Theory and Operations Research |
| Descrizione fisica: | xxxv, 471 p. : ill. ; 24 cm |
| Soggetto topico: | 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020] |
| 90-XX - Operations research, mathematical programming [MSC 2020] | |
| Soggetto non controllato: | Artificial Intelligence |
| Computer Networks | |
| Continuous Optimization | |
| Discrete Optimization | |
| Evolutionary algorithms | |
| Game Theory | |
| Genetic Algorithms | |
| Global optimization | |
| Machine learning | |
| Mathematical Economics | |
| Mixed discrete-continuous optimization | |
| Networks | |
| Operations Research | |
| Problem Solving | |
| Telecommunication networks | |
| Telecommunication traffic | |
| Persona (resp. second.): | Kononov, Alexander |
| Titolo autorizzato: | Mathematical Optimization Theory and Operations Research ![]() |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | VAN00249444 |
| Lo trovi qui: | Univ. Vanvitelli |
| Localizzazioni e accesso elettronico | http://doi.org/10.1007/978-3-030-49988-4 |
| Opac: | Controlla la disponibilità qui |