3 papers
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…
stat.CO2024
Multifidelity Cross-validation
S. Ashwin Renganathan, Kade Carlson
Emulating the mapping between quantities of interest and their control parameters using surrogate models finds widespread application in engineering design, including in numerical…
math.OC2023
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…