SUPR
Scheduling of Healthcare Personnel using Learned Methods
Dnr:

NAISS 2023/22-470

Type:

NAISS Small Compute

Principal Investigator:

Alvin Combrink

Affiliation:

Chalmers tekniska högskola

Start Date:

2023-05-05

End Date:

2024-06-01

Primary Classification:

20201: Robotics

Webpage:

Allocation

Abstract

The goal of the project is to evaluate if healthcare personnel scheduling, a constrained optimisation problem, can be solved approximatively using reinforce learned methods. By grouping constraints placed on the scheduling solution by structure, each constraint structure can be learned individually and combined (also learnt) to give a final solution.