A discrete adjoint GKS is developed and verified for efficient aerodynamic shape optimization in turbulent flows, achieving design goals in few cycles.
Optimum Aerodynamic Design Using the Navier-Stokes Equations
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A gradient-enhanced local Bayesian optimization framework that converges optimality as deeply as standard optimizers but with significantly fewer function evaluations on 2-40 dimensional unimodal problems, outperforming them under noisy gradients.
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A Discrete Adjoint Gas-Kinetic Scheme for Aerodynamic Shape Optimization in Turbulent Continuum Flows
A discrete adjoint GKS is developed and verified for efficient aerodynamic shape optimization in turbulent flows, achieving design goals in few cycles.
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Efficient Gradient-Enhanced Bayesian Optimizer with Comparisons to Conjugate-Gradient and Quasi-Newton Optimizers for Unconstrained Local Optimization
A gradient-enhanced local Bayesian optimization framework that converges optimality as deeply as standard optimizers but with significantly fewer function evaluations on 2-40 dimensional unimodal problems, outperforming them under noisy gradients.