Roster Evaluation Based on the Classifiers for the Nurse Rostering Problem
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00208840" target="_blank" >RIV/68407700:21230/13:00208840 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Roster Evaluation Based on the Classifiers for the Nurse Rostering Problem
Original language description
This is an extended abstract about roster evaluation based on the classifiers for the nurse rostering problem which is a well-known combinatorial problem. Various heuristics dealing with this problem can be found in the literature. However, they have toevaluate many intermediate rosters which is very time consuming process. In our paper, we propose a faster roster evaluation using the pattern recognition to determine how much good or bad the rosters are. The experimental results show a significant algorithm runtime reduction in comparison with standard evaluation.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/7H12008" target="_blank" >7H12008: Design, Monitoring and Operation of Adaptive Networked Embedded Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů