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Harmony Search method-based multi-modal optimal design of a wind generator

Authors
Gao, XiaozhiWang, XiaoleiZenger, KaiWang, XiaofengZhang, Jun
Issue Date
Nov-2013
Publisher
IEEE
Keywords
Deterministic Crowding (DC); fitness sharing; Harmony Search (HS) method; multi-modal optimization, wind generator design; niching technique
Citation
IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, pp 2887 - 2892
Pages
6
Indexed
SCI
SCOPUS
Journal Title
IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society
Start Page
2887
End Page
2892
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/115699
DOI
10.1109/IECON.2013.6699589
ISSN
1553-572X
Abstract
The Harmony Search (HS) method is an emerging meta- heuristic optimization algorithm. However, it is generally not so efficient in handling multi-modal optimization problems, in which instead of only a single optimum, multiple optima need to be found. In our paper, a novel HS method based on the niching technique (deterministic crowding), n-HS, is presented to overcome this shortcoming. The n-HS is further applied to deal with the multi-modal optimal design of a wind generator. © 2013 IEEE.
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ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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