TY - JOUR
T1 - Harmony search
T2 - Current studies and uses on healthcare systems
AU - Abdulkhaleq, Maryam T.
AU - Rashid, Tarik A.
AU - Alsadoon, Abeer
AU - Hassan, Bryar A.
AU - Mohammadi, Mokhtar
AU - Abdullah, Jaza M.
AU - Chhabra, Amit
AU - Ali, Sazan L.
AU - Othman, Rawshan N.
AU - Hasan, Hadil A.
AU - Azad, Sara
AU - Mahmood, Naz A.
AU - Abdalrahman, Sivan S.
AU - Rasul, Hezha O.
AU - Bacanin, Nebojsa
AU - Vimal, S.
N1 - Funding Information:
Some special thanks go to the University of Kurdistan Hewler and Kurdistan Institution for Strategic Studies and Scientific Research for their help and willingness to conduct this review. No funding is applicable.
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/9
Y1 - 2022/9
N2 - One of the popular metaheuristic search algorithms is Harmony Search (HS). It has been verified that HS can find solutions to optimization problems due to its balanced exploratory and convergence behavior and its simple and flexible structure. This capability makes the algorithm preferable to be applied in several real-world applications in various fields, including healthcare systems, different engineering fields, and computer science. The popularity of HS urges us to provide a comprehensive survey of the literature on HS and its variants on health systems, analyze its strengths and weaknesses, and suggest future research directions. In this review paper, the current studies and uses of harmony search are studied in four main domains. (i) The variants of HS, including its modifications and hybridization. (ii) Summary of the previous review works. (iii) Applications of HS in healthcare systems. (iv) And finally, an operational framework is proposed for the applications of HS in healthcare systems. The main contribution of this review is intended to provide a thorough examination of HS in healthcare systems while also serving as a valuable resource for prospective scholars who want to investigate or implement this method.
AB - One of the popular metaheuristic search algorithms is Harmony Search (HS). It has been verified that HS can find solutions to optimization problems due to its balanced exploratory and convergence behavior and its simple and flexible structure. This capability makes the algorithm preferable to be applied in several real-world applications in various fields, including healthcare systems, different engineering fields, and computer science. The popularity of HS urges us to provide a comprehensive survey of the literature on HS and its variants on health systems, analyze its strengths and weaknesses, and suggest future research directions. In this review paper, the current studies and uses of harmony search are studied in four main domains. (i) The variants of HS, including its modifications and hybridization. (ii) Summary of the previous review works. (iii) Applications of HS in healthcare systems. (iv) And finally, an operational framework is proposed for the applications of HS in healthcare systems. The main contribution of this review is intended to provide a thorough examination of HS in healthcare systems while also serving as a valuable resource for prospective scholars who want to investigate or implement this method.
KW - Evolutionary algorithms
KW - Harmony search
KW - Health care
KW - Medical applications
KW - Meta-heuristics
KW - Optimization
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U2 - 10.1016/j.artmed.2022.102348
DO - 10.1016/j.artmed.2022.102348
M3 - Review article
C2 - 36100345
AN - SCOPUS:85133948664
SN - 0933-3657
VL - 131
SP - 1
EP - 15
JO - Artificial Intelligence in Medicine
JF - Artificial Intelligence in Medicine
M1 - 102348
ER -