Harmony search method: Theory and applications

89Citations
Citations of this article
148Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

Cite

CITATION STYLE

APA

Gao, X. Z., Govindasamy, V., Xu, H., Wang, X., & Zenger, K. (2015). Harmony search method: Theory and applications. Computational Intelligence and Neuroscience. Hindawi Publishing Corporation. https://doi.org/10.1155/2015/258491

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free