Local search neighbourhoods for dealing with a novel nurse rostering model |
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| Authors: | Burak Bilgin Patrick De Causmaecker Benoît Rossie Greet Vanden Berghe |
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| Affiliation: | (1) Faculty of Economics and Business Administration, Ghent University, Gent, Belgium;(2) Operations & Technology Management Centre, Vlerick Leuven Gent Management School, Gent, Belgium |
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| Abstract: | A novel nurse rostering model is developed to represent real world problem instances more accurately. The proposed model is generic in the sense that it allows modelling of essentially different problem instances. Novel local search neighbourhoods are implemented to take advantage of the problem properties represented by the model. These neighbourhoods are used in a variable neighbourhood search and in an adaptive large neighbourhood search algorithm. The performance of the solution method is evaluated empirically on real world data. The proposed model is open to further extensions for covering personnel planning problems in different sectors and countries. |
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