Optimizing staff rosters for emergency shifts for doctors
| dc.accessRights | Anonymous | |
| dc.audience | Sonstige | |
| dc.contributor.author | Frey, Lukas | |
| dc.contributor.author | Hanne, Thomas | |
| dc.contributor.author | Dornberger, Rolf | |
| dc.date.accessioned | 2015-10-05T15:42:16Z | |
| dc.date.available | 2015-10-05T15:42:16Z | |
| dc.date.issued | 2009-06-28T00:00:00Z | |
| dc.description.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. | |
| dc.event | CEC 2009 - IEEE Congress on Evolutionary Computation (Proceedings) | |
| dc.identifier.isbn | 978-1-4244-2958-5 | |
| dc.identifier.uri | http://hdl.handle.net/11654/9586 | |
| dc.language.iso | en_UK | |
| dc.publisher | IEEE | |
| dc.spatial | Trondheim | |
| dc.subject | genetic algorithm | |
| dc.subject | mutation methods | |
| dc.subject | staff rosters | |
| dc.subject.ddc | 330 - Wirtschaft | |
| dc.subject.ddc | 005 - Computer Programmierung, Programme und Daten | |
| dc.title | Optimizing staff rosters for emergency shifts for doctors | |
| dc.type | 04B - Beitrag Konferenzschrift | |
| dspace.entity.type | Publication | |
| fhnw.InventedHere | unbekannt | |
| fhnw.ReviewType | No peer review | |
| fhnw.affiliation.hochschule | Hochschule für Wirtschaft | de_CH |
| fhnw.affiliation.institut | Institut für Wirtschaftsinformatik | de_CH |
| fhnw.publicationState | Veröffentlicht | |
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| relation.isAuthorOfPublication.latestForDiscovery | 823af11f-eb47-4008-9791-570024b49385 |