Nurse rostering is a complex real world problem requiring the assignment of various shifts to the hospital personnel subject to a set of constraints. Fairness of work allocation is a major human resources issue which has not been suffciently explored in this feld. The quality of a satisfactory solution to a nurse rostering problem instance is usually evaluated based on quantitative criteria. Nevertheless, the individuals have different implicit preferences and availabilities. Hence, the perceived roster quality may not be fully aligned with these quantitative criteria. Therefore, it would be more appropriate to also consider qualitative measures for fair rosters. This study investigates new qualitative measures for fairness and investigates centralised and cooperative meta-heuristic approaches for optimising these measures on a set of existing benchmark instances.
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