Title :
Optimizing staff rosters for emergency shifts for doctors
Author :
Frey, Lukas ; Hanne, Thomas ; Dornberger, Rolf
Author_Institution :
Inst. for Inf. Syst., Univ. of Appl. Sci. Northwestern Switzerland, Olten
Abstract :
The creation of staff rosters for emergency shifts for doctors is a complex task. To construct good rosters, many restrictions (e.g. holidays 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.
Keywords :
genetic algorithms; medical administrative data processing; emergency shift; genetic algorithm; mutation method; staff roster; Algorithm design and analysis; Cardiac arrest; Concrete; Genetic algorithms; Genetic mutations; Hospitals; Insects; Insurance; Medical services; Scheduling;
Conference_Titel :
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-2958-5
Electronic_ISBN :
978-1-4244-2959-2
DOI :
10.1109/CEC.2009.4983260
