Learning for Optimization with Virtual Savant
Optimization problems arising in multiple fields of study demand efficient algorithms that can exploit modern parallel computing platforms. The remarkable development of machine learning offers an opportunity to incorporate learning into optimization algorithms to efficiently solve large and complex...
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | article |
| Lingua: | spagnolo |
| Pubblicazione: |
2022
|
| Soggetti: | |
| Accesso online: | http://revistas.um.edu.uy/index.php/ingenieria/article/view/1080 |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
Documenti analoghi: Learning for Optimization with Virtual Savant
- Learning for Optimization with Virtual Savant
- Bayesian plug & play methods for inverse problems in imaging.
- PRELIMINARY PSYCHOMETRIC CHARACTERISTICS OF THE HSCL-A ADAPTED FOR USE IN URUGUAYAN ADOLESCENTS IN THE CONTEXT OF VIOLENCE
- Metaheurísticas aplicadas aun problema de asignación a un problema de salones y horarios de asignaturas
- Comparing assignment algorithms for the Multi-Depot VRP
- Two-sided optimal stopping for Lévy processes