Harmony search method for optimal wind turbine electrical generator design

Gao, Xiaozhi; Wang, Xiaolei; Zenger, Kai

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dc.contributor	Aalto-yliopisto	fi
dc.contributor	Aalto University	en
dc.contributor.author	Gao, Xiaozhi
dc.contributor.author	Wang, Xiaolei
dc.contributor.author	Zenger, Kai
dc.date.accessioned	2017-01-19T10:40:42Z
dc.date.issued	2016-12-30
dc.identifier.citation	Gao , X , Wang , X & Zenger , K 2016 , ' Harmony search method for optimal wind turbine electrical generator design ' , Rakenteiden Mekaniikka (Journal of Structural Mechanics) , vol. 49 , no. 3 , pp. 119-136 . < http://rmseura.tkk.fi/rmlehti/2016/nro3/RakMek_49_3_2016_2.pdf >	en
dc.identifier.issn	0783-6104
dc.identifier.issn	1797-5301
dc.identifier.other	PURE UUID: 11c469bd-0bae-4b14-8f6a-10c71a795f42
dc.identifier.other	PURE ITEMURL: https://research.aalto.fi/en/publications/11c469bd-0bae-4b14-8f6a-10c71a795f42
dc.identifier.other	PURE LINK: http://rmseura.tkk.fi/rmlehti/2016/nro3/RakMek_49_3_2016_2.pdf
dc.identifier.other	PURE FILEURL: https://research.aalto.fi/files/10244380/Gao_Wang_Zenger_RakMek_49_3_2016_2.pdf
dc.identifier.uri	https://aaltodoc.aalto.fi/handle/123456789/24163
dc.description.abstract	The Harmony Search (HS) method is an emerging meta-heuristic optimization algorithm, which has been employed to cope with numerous challenging tasks during the past decade. In this paper, the essential theory of the HS algorithm is first described in details. Next, a few typical variations of the HS method are explained. The application of the HS in a practical wind turbine electrical generator optimal design case study is finally presented. Computer simulation results have clearly demonstrated its remarkable performances in dealing with demanding optimization problems.	en
dc.format.extent	18
dc.format.extent	119-136
dc.format.mimetype	application/pdf
dc.language.iso	en	en
dc.relation.ispartofseries	Rakenteiden mekaniikka (Journal of Structural Mechanics)	en
dc.relation.ispartofseries	Volume 49, issue 3	en
dc.rights	openAccess	en
dc.title	Harmony search method for optimal wind turbine electrical generator design	en
dc.type	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä	fi
dc.description.version	Peer reviewed	en
dc.contributor.department	LUT University
dc.contributor.department	Department of Electrical Engineering and Automation
dc.subject.keyword	nature-inspired computing methods, Harmony Search (HS) method, Popula-tion-Based Incremental Learning (PBIL), optimization, electrical machine design
dc.identifier.urn	URN:NBN:fi:aalto-201701191108