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math.OC2026
Derivative-free optimization is competitive for aerodynamic design optimization in moderate dimensions
Punya Plaban, Peter Bachman, Ashwin Renganathan
Aerodynamic design optimization is an important problem in aircraft design that depends on the interplay between a numerical optimizer and a high-fidelity flow physics solver. Deri…
math.OC2025
Multiobjective Aerodynamic Design Optimization of the NASA Common Research Model
Kade Carlson, Ashwin Renganathan
Aircraft aerodynamic design optimization must account for the varying operating conditions along the cruise segment as opposed to designing at one fixed operating condition, to arr…
math.OC2025
qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson sampling
Ashwin Renganathan, Kade E. Carlson
Classical evolutionary approaches for multiobjective optimization are quite accurate but incur a lot of queries to the objectives; this can be prohibitive when objectives are expen…