Harmony Search Method: Theory and Applications
Joint Authors
Zenger, Kai
Govindasamy, V.
Xu, H.
Wang, X.
Gao, X. Z.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-04-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Gao, X. Z.& Govindasamy, V.& Xu, H.& Wang, X.& Zenger, Kai. 2015. Harmony Search Method: Theory and Applications. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057677
Modern Language Association (MLA)
Gao, X. Z.…[et al.]. Harmony Search Method: Theory and Applications. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057677
American Medical Association (AMA)
Gao, X. Z.& Govindasamy, V.& Xu, H.& Wang, X.& Zenger, Kai. Harmony Search Method: Theory and Applications. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057677
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057677
