Services on Demand
Article
Indicators
Related links
Cited by Google
Similars in Google
Share
South African Journal of Industrial Engineering
On-line version ISSN 2224-7890
Print version ISSN 1012-277X
Abstract
SHAHNAZARI-SHAHREZAEI, P.; TAVAKKOLI-MOGHADDAM, R.; AZARKISH, M. and SADEGHNEJAD-BARKOUSARAIE, A.. A differential evolution algorithm developed for a nurse scheduling problem. S. Afr. J. Ind. Eng. [online]. 2012, vol.23, n.3, pp.68-90. ISSN 2224-7890.
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, 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 applied to examine the reliability of the proposed algorithms. The computational results in this paper show that the proposed DE outperforms the GRASP.