Evolutionary Multiobjective Optimization of Winglets

Matheus Teixeira, Fillipe Goulart, Felipe Campelo

Research output: Chapter in Book/Published conference outputConference publication


Evolutionary multiobjective optimization is employed for designing the geometric configurations of winglets adapted to a base wing. Seven decision variables are employed for the winglet parameterization, and the wing-winglet transition region is modeled using Bezier surfaces. A case study is presented to illustrate the application of this technique to the design of wingtip devices. The optimization model includes two objectives: the ratio of drag-lift coefficients, and the wing root bending moment coefficient. The solutions obtained are discussed, and a Monte Carlo sensitivity analysis is performed to test the robustness of the results to uncertainties in the variables. Finally, a winglet geometry is suggested to be retrofitted to the base wing, providing an increased lift to drag ratio at the expense of increasing the root bending moment of the wing.
Original languageEnglish
Title of host publicationProceedings of the Genetic and Evolutionary Computation Conference 2016
Number of pages8
ISBN (Print)978-1-4503-4206-3
Publication statusPublished - 20 Jul 2016


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