Department of Computer Science and Engineering, University of Kurdistan Hewler, KRI, Iraq; Department of Artificial Intelligence and Data Science, Ramco Institute of Technology, North Venganallur Village, Rajapalayam - 626 117 Virudhunagar District Tamilnadu, India.
Department of Computer Science and Engineering, University of Kurdistan Hewler, KRI, Iraq.
Artif Intell Med. 2022 Sep;131:102348. doi: 10.1016/j.artmed.2022.102348. Epub 2022 Jul 5.
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.
一种流行的元启发式搜索算法是和声搜索（HS）。由于其平衡的探索性和收敛性行为以及简单灵活的结构，已经验证了 HS 可以找到优化问题的解决方案。这种能力使得该算法更适合应用于医疗保健系统、不同工程领域和计算机科学等各个领域的许多实际应用中。HS 的流行促使我们对健康系统中的 HS 及其变体的文献进行全面调查，分析其优缺点，并提出未来的研究方向。在这篇综述论文中，研究了和声搜索在四个主要领域的当前研究和应用。（i）HS 的变体，包括其修改和杂交。（ii） 以前综述工作的总结。（iii）HS 在医疗保健系统中的应用。（iv） 最后，提出了 HS 在医疗保健系统中的应用的操作框架。本综述的主要贡献旨在对医疗保健系统中的 HS 进行全面检查，同时也为希望研究或实施这种方法的未来学者提供有价值的资源。
