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Engineering Optimization Volume 47, 2015 - Issue 8
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Original Articles

A hybrid multi-objective evolutionary algorithm for wind-turbine blade optimization

M. SessaregoDepartment of Mechanical and Manufacturing Engineering, University of Calgary, 2500 University Dr. NW, Calgary, Alberta, Canada, T2N 1N4Correspondence[email protected]
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,
K.R. DixonWind R&D Center, Siemens Energy Inc., 1050 Walnut Street, Suite 303, Boulder, CO80302, USAView further author information
,
D.E. RivalDepartment of Mechanical and Manufacturing Engineering, University of Calgary, 2500 University Dr. NW, Calgary, Alberta, Canada, T2N 1N4View further author information
&
D.H. WoodDepartment of Mechanical and Manufacturing Engineering, University of Calgary, 2500 University Dr. NW, Calgary, Alberta, Canada, T2N 1N4View further author information
Pages 1043-1062 | Received 05 Mar 2014, Accepted 18 Jun 2014, Published online: 04 Aug 2014

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Rui Meng, Lu Wang, Xin Cai & Neng-gang Xie. (2020) Multi-objective aerodynamic and structural optimization of a wind turbine blade using a novel adaptive game method. Engineering Optimization 52:8, pages 1441-1460.
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Atthaphon Ariyarit, Masahiro Kanazaki & Sujin Bureerat. (2020) An Approach Combining an Efficient and Global Evolutionary Algorithm with a Gradient-Based Method for Airfoil Design Problems. Smart Science 8:1, pages 14-23.
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Nyoman Gunantara. (2018) A review of multi-objective optimization: Methods and its applications. Cogent Engineering 5:1.
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