| Abstract [eng] |
This thesis will analyze shift scheduling using a model based on generative adversarial networks as an alternative to optimisation algorithms. In this thesis a shift scheduling problem is formulated, a generative model based on generative adversarial networks for shift scheduling problems is proposed, this model was practically implemented and experiments were performed with it by adding various schedule constraints. A comparative analysis of the proposed generative model and selected optimisation tool was also performed. |
