Samaran, Mme Ondine (2023) Optimisation de la confection d’horaires pour des médecins urgentistes PRE - Research Project, ENSTA.
Full text not available from this repository.
Abstract
Scheduling is an active problem for many occupations. Usually, it was the head of the department who took care of the schedules until recently, this is why lots of researchers have put effort in it in order to computerize this task. Nowadays, the challenges are to implement Machine Learning techniques and accelerate the resolution because it sometimes takes several days. In order to best master the subject in the emergency field, it is important to accurately analyse results of the resolution, patterns and the influence of each variable and parameters on the model.
Item Type: | Thesis (PRE - Research Project) |
---|---|
Uncontrolled Keywords: | Optimisation - Confection d’horaires - Machine Learning - CPLEX - Détection de structures |
Subjects: | Mathematics and Applications |
ID Code: | 9670 |
Deposited By: | Achille Samaran |
Deposited On: | 29 août 2023 16:11 |
Dernière modification: | 29 août 2023 16:11 |
Repository Staff Only: item control page