Nurse rostering using modified harmony search algorithm

Authors:
Mohammed A. Awadallah;Ahamad Tajudin Khader;Mohammed Azmi Al-Betar
Affiliations:
School of Computer Sciences, Universiti Sains Malaysia (USM), Pulau, Pinang, Malaysia;School of Computer Sciences, Universiti Sains Malaysia (USM), Pulau, Pinang, Malaysia;School of Computer Sciences, Universiti Sains Malaysia (USM), Pulau, Pinang, Malaysia
Venue:
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part II
Year:
2011

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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.