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Self-organizing Maps for Pareto Optimization of Airfoils
2002This work introduces a new recombination and a new mutation operator for an accelerated evolutionary algorithm in the context of Pareto optimization. Both operators are based on a self-organizing map, which is actively learning from the evolution in order to adapt the mutation step size and improve convergence speed. Standard selection operators can be
Dirk Büche +3 more
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Optimization of Multi-Element Airfoils
1981Abstract : A review of techniques aimed at maximizing C1/Cd and C1 for multi- element airfoils showed the need for more exhaustive testing of possible configurations of flap deflection, slot geometry and airfoil angle of attack. For a typical 4-element airfoil, the number of possible configurations can easily be in the billions.
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Low-Reynolds-number airfoil design optimization using deep-learning-based tailored airfoil modes
Aerospace Science and Technology, 2022Jichao Li, MengQi Zhang, Y D Cui
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Recent advancements in optimization methods for wind turbine airfoil design: A review
Materials Today: Proceedings, 2021Prashant Sharma +2 more
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Optimization of Flapping Airfoils for Maximum Thrust
41st Aerospace Sciences Meeting and Exhibit, 2003Kaya, MUSTAFA, TUNCER, İSMAİL HAKKI
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Methods for Preliminary Airfoil Optimization
27th AIAA Applied Aerodynamics Conference, 2009Ricardo Entz +4 more
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