A DIFFERENTIAL EVOLUTION ALGORITHM DEVELOPED FOR A NURSE SCHEDULING PROBLEM

A DIFFERENTIAL EVOLUTION ALGORITHM DEVELOPED FOR A NURSE SCHEDULING PROBLEM

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Nurse scheduling is a type of manpower allocation problem that tries to satisfy hospital managers objectives and nurses preferences as much as possible by generating fair shift schedules.This paper presents a nurse scheduling problem based on a real case study, read more and proposes two meta-heuristics a differential evolution algorithm (DE) and a greedy randomised adaptive search procedure (GRASP) to solve it.To investigate the efficiency of the proposed algorithms, two problems are solved.Furthermore, some comparison metrics are emtek 2113 applied to examine the reliability of the proposed algorithms.

The computational results in this paper show that the proposed DE outperforms the GRASP.