Nurse rostering using modified harmony search algorithm

Mohammed A. Awadallah; Ahamad Tajudin Khader; Mohammed Azmi Al-Betar; Asaju La aro Bolaji

doi:10.1007/978-3-642-27242-4_4

Nurse rostering using modified harmony search algorithm

Mohammed A. Awadallah
, Ahamad Tajudin Khader
, Mohammed Azmi Al-Betar
, Asaju La aro Bolaji

Universiti Sains Malaysia
Al-Zaytoonah University of Jordan

Research output: Contribution to journal › Conference article › peer-review

25 Scopus citations

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.

Original language	English
Pages (from-to)	27-37
Number of pages	11
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7077 LNCS
Issue number	PART 2
DOIs	https://doi.org/10.1007/978-3-642-27242-4_4
State	Published - 2011
Externally published	Yes
Event	2nd International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2011 - Visakhapatnam, Andhra Pradesh, India Duration: 19 Dec 2011 → 21 Dec 2011

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10.1007/978-3-642-27242-4_4

Cite this

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title = "Nurse rostering using modified harmony search algorithm",

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.",

author = "Awadallah, \{Mohammed A.\} and Khader, \{Ahamad Tajudin\} and Al-Betar, \{Mohammed Azmi\} and Bolaji, \{Asaju La aro\}",

year = "2011",

doi = "10.1007/978-3-642-27242-4\_4",

language = "English",

volume = "7077 LNCS",

pages = "27--37",

journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

issn = "0302-9743",

publisher = "Springer Science and Business Media Deutschland GmbH",

number = "PART 2",

note = "2nd International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2011 ; Conference date: 19-12-2011 Through 21-12-2011",

}

Nurse rostering using modified harmony search algorithm. / Awadallah, Mohammed A.; Khader, Ahamad Tajudin; Al-Betar, Mohammed Azmi et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 7077 LNCS, No. PART 2, 2011, p. 27-37.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Nurse rostering using modified harmony search algorithm

AU - Awadallah, Mohammed A.

AU - Khader, Ahamad Tajudin

AU - Al-Betar, Mohammed Azmi

AU - Bolaji, Asaju La aro

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84555196583

U2 - 10.1007/978-3-642-27242-4_4

DO - 10.1007/978-3-642-27242-4_4

M3 - Conference article

AN - SCOPUS:84555196583

SN - 0302-9743

VL - 7077 LNCS

SP - 27

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

IS - PART 2

T2 - 2nd International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2011

Y2 - 19 December 2011 through 21 December 2011

ER -

Nurse rostering using modified harmony search algorithm

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