Design of Machine Learning Based Algorithm for Personnel Scheduling (APTS)

An algorithm based on evolutionary algorithms is developed and further developed for staff scheduling, given a list of tasks and a set of constraints describing work rules (applied in the airport sphere). During the creation of the schedule, employee shifts are formed dynamically depending on the set of tasks, maintaining the relationship between the convenience of the work schedule for employees and the optimization of working time.

Duration 2019–2020
Head of project
Habil. dr. Rimantas Barauskas
Researches Habil. dr. R. Barauskas, dr. Dalia Čalnerytė, dr. Andrius Kriščiūnas