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Nurse rostering using modified harmony search algorithm
M.A. Awadallah, A.T. Khader, , A.L. Bolaji
Published in
Volume: 7077 LNCS
Issue: PART 2
Pages: 27 - 37
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.
About the journal
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)