Abstract
In this paper, a Harmony Search Algorithm (HSA) is adapted for Nurse Rostering Problem (NRP). HSA is a global optimization method derived from a musical improvisation process which has been successfully tailored for several optimization domains. NRP is a hard combinatorial scheduling problem of assigning given shifts to given nurses. Using a dataset established by International Nurse Rostering Competition 2010 of sprint dataset that has 10-early, 10-late, 10-hidden, and 3-hint. The proposed method achieved competitively comparable results. © 2011 Springer-Verlag.
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CITATION STYLE
Awadallah, M. A., Khader, A. T., Al-Betar, M. A., & Bolaji, A. L. aro. (2011). Nurse rostering using modified harmony search algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7077 LNCS, pp. 27–37). https://doi.org/10.1007/978-3-642-27242-4_4
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