A Hybrid Tabu Search Algorithm for the Nurse Rostering Problem
SEAL'98 Selected papers from the Second Asia-Pacific Conference on Simulated Evolution and Learning on Simulated Evolution and Learning
The State of the Art of Nurse Rostering
Journal of Scheduling
Multicriteria Optimization
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In this paper, we present a multiobjective programming approach for solving nurse rostering problems. We first formulate the nurse rostering problems as a multiobjective mixed 0-1 linear program and then prove that finding an efficient solution of the last program leads to solving one mixed 0-1 linear problem. Two benchmark problems are considered and computational experiments are presented.