Table of Contents Author Guidelines Submit a Manuscript
Computational Intelligence and Neuroscience
Volume 2015, Article ID 258491, 10 pages
http://dx.doi.org/10.1155/2015/258491
Review Article

Harmony Search Method: Theory and Applications

1Department of Electrical Engineering and Automation, Aalto University School of Electrical Engineering, 00076 Aalto, Finland
2Department of Information Technology, Pondicherry Engineering College, Pondicherry 605 014, India
3College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150001, China

Received 7 December 2014; Accepted 21 March 2015

Academic Editor: Steven L. Bressler

Copyright © 2015 X. Z. Gao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.