Optimizing staff rosters for emergency shifts for doctors

Authors:
Lukas Frey;Thomas Hanne;Rolf Dornberger
Affiliations:
University of Applied Sciences Northwestern Switzerland, Institute for Information Systems, Olten, Switzerland;University of Applied Sciences Northwestern Switzerland, Institute for Information Systems, Olten, Switzerland;University of Applied Sciences Northwestern Switzerland, Institute for Information Systems, Basel, Switzerland
Venue:
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Year:
2009

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Abstract

The creation of staff rosters for emergency shifts for doctors is a complex task. To construct good rosters, many restrictions (e.g. holydays and workload) have to be taken into account. These restrictions have been mathematically specified for a concrete case in order to solve the problem afterwards with a straightforward genetic algorithm. Thereby the main focus lays on two different mutation methods and the combination of them. The results of this procedure will be discussed in this work.