Date of Award
Summer 2012
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Mechanical & Aerospace Engineering
Program/Concentration
Aerospace Engineering
Committee Director
Miltiadis Kotinis
Committee Member
Gene Hou
Committee Member
Resit Unal
Abstract
The current research investigation focuses on the development of a multi-objective global optimizer based on the differential evolution algorithm. A rotationally invariant version of the original differential evolution algorithm is adopted as the core component of the optimization procedure. The optimizer is applied to a number of multi-objective problems: constrained problems, problems of high dimensionality, and problems with non-convex Pareto fronts.
The effectiveness of the proposed optimization framework in real engineering design problems is demonstrated by carrying out an aerodynamic shape optimization of wind turbine airfoils. The investigation focuses on both thin and thick airfoils. The produced Pareto-optimal airfoil shapes demonstrate better aerodynamic performance than the baseline airfoil designs.
Rights
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DOI
10.25777/dmfc-5w58
Recommended Citation
Muluk, Shantanu S..
"A Multi-Objective Differential Evolution Algorithm for Engineering Design Optimization"
(2012). Master of Science (MS), Thesis, Mechanical & Aerospace Engineering, Old Dominion University, DOI: 10.25777/dmfc-5w58
https://digitalcommons.odu.edu/mae_etds/638
Included in
Navigation, Guidance, Control and Dynamics Commons, Systems Engineering and Multidisciplinary Design Optimization Commons