Yi Jin, Lu Chao, Li Guo Min
Department of Industrial Systems Engineering and Management, National University of Singapore, 119077, Singapore.
School of computer science, China University of Geosciences (Wuhan), Wuhan, 430074, China.
Math Biosci Eng. 2019 Mar 11;16(4):2086-2117. doi: 10.3934/mbe.2019102.
The harmony search (HS) algorithm is one of the most popular meta-heuristic algorithms. The basic idea of HS was inspired by the music improvisation process in which the musicians continuously adjust the pitch of their instruments to generate wonderful harmony. Since its inception in 2001, HS has attracted the attention of many researchers from all over the world, resulting in a lot of improved variants and successful applications. Even for today, the research on improved HS variants design and innovative applications are still hot topics. This paper provides a detailed review of the basic concept of HS and a survey of its latest variants for function optimization. It also provides a survey of the innovative applications of HS in the field of intelligent manufacturing based on about 40 recently published articles. Some potential future research directions for both HS and its applications to intelligent manufacturing are also analyzed and summarized in this paper.
和声搜索（HS）算法是最流行的元启发式算法之一。HS的基本思想源于音乐即兴创作过程，即音乐家不断调整乐器的音高以产生美妙的和声。自2001年问世以来，HS吸引了来自世界各地众多研究人员的关注，催生了许多改进变体和成功应用。即便在今天，关于改进HS变体设计和创新应用的研究仍然是热门话题。本文详细回顾了HS的基本概念，并对其用于函数优化的最新变体进行了综述。基于约40篇近期发表的文章，还对HS在智能制造领域的创新应用进行了综述。本文还分析并总结了HS及其在智能制造应用方面未来一些潜在的研究方向。
