Harmony search method for optimal wind turbine electrical generator design

Xiaozhi Gao; Xiaolei Wang; Kai Zenger

Harmony search method for optimal wind turbine electrical generator design

Xiaozhi Gao, Xiaolei Wang, Kai Zenger

Sähkötekniikan ja automaation laitos

Lappeenranta University of Technology

Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu

210 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Sivut	119-136
Sivumäärä	18
Julkaisu	Rakenteiden Mekaniikka (Journal of Structural Mechanics)
Vuosikerta	49
Numero	3
Tila	Julkaistu - 30 jouluk. 2016
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

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Gao_Wang_Zenger_RakMek_49_3_2016_2Final published version, 456 KBLisenssi: CC BY-SA

http://rmseura.tkk.fi/rmlehti/2016/nro3/RakMek_49_3_2016_2.pdfLisenssi: CC BY-SA

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title = "Harmony search method for optimal wind turbine electrical generator design",

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.",

keywords = "nature-inspired computing methods, Harmony Search (HS) method, Popula-tion-Based Incremental Learning (PBIL), optimization, electrical machine design",

author = "Xiaozhi Gao and Xiaolei Wang and Kai Zenger",

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language = "English",

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journal = "Rakenteiden Mekaniikka (Journal of Structural Mechanics)",

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TY - JOUR

T1 - Harmony search method for optimal wind turbine electrical generator design

AU - Gao, Xiaozhi

AU - Wang, Xiaolei

AU - Zenger, Kai

PY - 2016/12/30

Y1 - 2016/12/30

N2 - 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.

AB - 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.

KW - nature-inspired computing methods, Harmony Search (HS) method, Popula-tion-Based Incremental Learning (PBIL), optimization, electrical machine design

M3 - Article

SN - 0783-6104

VL - 49

SP - 119

EP - 136

JO - Rakenteiden Mekaniikka (Journal of Structural Mechanics)

JF - Rakenteiden Mekaniikka (Journal of Structural Mechanics)

IS - 3

ER -

Harmony search method for optimal wind turbine electrical generator design

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