A hybrid model of integer programming and variable neighbourhood search for highly-constrained nurse rostering problems

This paper presents a hybrid multi-objective model that combines integer programming (IP) and variable neighbourhood search (VNS) to deal with highly-constrained nurse rostering problems in modern hospital environments. An IP is first used to solve the subproblem which includes the full set of hard...

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Bibliographic Details
Published in:	European journal of operational research Vol. 203; no. 2; pp. 484 - 493
Main Authors:	Burke, Edmund K., Li, Jingpeng, Qu, Rong
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.06.2010 Elsevier Elsevier Sequoia S.A
Series:	European Journal of Operational Research
Subjects:	Applied sciences Comparative analysis Decision theory. Utility theory Exact sciences and technology Genetic algorithms Integer programming Mathematical models Multi-objective optimization Nurse rostering Nurse rostering Multi-objective optimization Integer programming Variable neighbourhood search Operational research and scientific management Operational research. Management science Resource allocation Studies Variable neighbourhood search Netherlands Integer programming Nurse rostering Multi-objective optimization Variable neighbourhood search Resource allocation Multiobjective programming Beat Set constraint Modeling Optimization Neighborhood search Genetic algorithm Hybrid model Hospital Nurse
ISSN:	0377-2217, 1872-6860
Online Access:	Get full text
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