Harmony Search Method: Theory and Applications
Xiao-Zhi Gao, V. Govindasamy, He Xu, Xuchen Wang, Kai Zenger · Computational Intelligence and Neuroscience · 2015
The Harmony Search (HS) method is an emerging metaheuristic optimization algorithm, which has been employed to cope with numerous challenging tasks during the past decade. In this paper, the essential theory and applications of the HS algorithm are first described and reviewed. Several typical variants of the original HS are next briefly explained. As an example of case study, a modified HS method inspired by the idea of Pareto-dominance-based ranking is also presented. It is further applied to handle a practical wind generator optimal design problem.