2011 | OriginalPaper | Buchkapitel
Nurse Rostering Using Modified Harmony Search Algorithm
verfasst von : Mohammed A. Awadallah, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, Asaju La’aro Bolaji
Erschienen in: Swarm, Evolutionary, and Memetic Computing
Verlag: Springer Berlin Heidelberg
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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.