Harmony search: Current studies and uses on healthcare systems

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.

Automated summary

Harmony Search (HS) is a popular metaheuristic algorithm known for its ability to find solutions to optimization problems. It is widely applied in various fields, including healthcare systems, engineering, and computer science, due to its balanced exploratory and convergence behavior. This review paper provides a comprehensive examination of the current studies and applications of HS in healthcare systems, proposing an operational framework and serving as a valuable resource for prospective scholars.