Gao X Z, Govindasamy V, Xu H, Wang X, Zenger K
Department of Electrical Engineering and Automation, Aalto University School of Electrical Engineering, 00076 Aalto, Finland.
Department of Information Technology, Pondicherry Engineering College, Pondicherry 605 014, India.
Comput Intell Neurosci. 2015;2015:258491. doi: 10.1155/2015/258491. Epub 2015 Apr 7.
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.
和声搜索（HS）方法是一种新兴的元启发式优化算法，在过去十年中已被用于处理众多具有挑战性的任务。本文首先描述并回顾了HS算法的基本理论和应用。接下来简要解释了原始HS的几种典型变体。作为案例研究的一个例子，还提出了一种受基于帕累托优势排序思想启发的改进HS方法。它进一步应用于处理一个实际的风力发电机优化设计问题。
