Integer programming techniques for the nurse rostering problem

Haroldo G. Santos (), Túlio A. M. Toffolo (), Rafael A. M. Gomes () and Sabir Ribas ()
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Haroldo G. Santos: Federal University of Ouro Preto
Túlio A. M. Toffolo: Federal University of Ouro Preto
Rafael A. M. Gomes: Federal University of Ouro Preto
Sabir Ribas: Federal University of Minas Gerais

Annals of Operations Research, 2016, vol. 239, issue 1, No 13, 225-251

Abstract: Abstract This work presents integer programming techniques to tackle the problem of the International Nurse Rostering Competition. Starting from a compact and monolithic formulation in which the current generation of solvers performs poorly, improved cut generation strategies and primal heuristics are proposed and evaluated. A large number of computational experiments with these techniques produced the following results: the optimality of the vast majority of instances was proved, the best known solutions were improved by up to 15 % and strong dual bounds were obtained. In the spirit of reproducible science, all code was implemented using the Computational Infrastructure for Operations Research.

Keywords: Nurse rostering; Integer programming; Cutting planes; MIP heuristics (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (15)

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DOI: 10.1007/s10479-014-1594-6

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