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Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: A hybrid heuristic ordering and variable neighbourhood search for the nurse rostering problem
Author(s): Burke, Edmund
Curtois, Tim
Post, Gerhard
Qu, Rong
Veltman, Bart
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Keywords: Variable neighbourhood search
Heuristics and metaheuristics
Nurse rostering
Hybrid methods
Issue Date: Jul-2008
Citation: Burke E, Curtois T, Post G, Qu R & Veltman B (2008) A hybrid heuristic ordering and variable neighbourhood search for the nurse rostering problem, European Journal of Operational Research, 188 (2), pp. 330-341.
Abstract: This paper is concerned with the development of intelligent decision support methodologies for nurse rostering problems in large modern hospital environments. We present an approach which hybridises heuristic ordering with variable neighbourhood search. We show that the search can be extended and the solution quality can be significantly improved by the careful combination and repeated use of heuristic ordering, variable neighbourhood search and back-tracking. The amount of computational time that is allowed plays a significant role and we analyse and discuss this. The algorithms are evaluated against a commercial Genetic Algorithm on commercial data. We demonstrate that this methodology can significantly outperform the commercial algorithm. This paper is one of the few in the scientific nurse rostering literature which deal with commercial data and which compare against a commercially implemented algorithm.
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