DocumentCode
1641745
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
fYear
2009
Firstpage
2540
Lastpage
2546
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CEC.2009.4983260
Filename
4983260
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