Applications of Polynomial Chaos-Based Cokriging to Aerodynamic Design Optimization Benchmark Problems
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[1] Yu Zhang,et al. Multi-round Surrogate-based Optimization for Benchmark Aerodynamic Design Problems , 2016 .
[2] Joel Nothman,et al. Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python , 2020, Nature Methods.
[3] Slawomir Koziel,et al. Automated Low-Fidelity Model Setup for Surrogate-Based Aerodynamic Optimization , 2014 .
[4] Daniel J Poole,et al. Control Point-Based Aerodynamic Shape Optimization Applied to AIAA ADODG Test Cases , 2015 .
[5] J. Wiart,et al. Polynomial-Chaos-based Kriging , 2015, 1502.03939.
[6] C. Audet,et al. Direct Search Airfoil Optimization Using Far-Field Drag Decomposition Results , 2015 .
[7] Hossein Zare-Behtash,et al. State-of-the-art in aerodynamic shape optimisation methods , 2018, Appl. Soft Comput..
[8] Sivakumaran Nadarajah,et al. Adjoint-Based Aerodynamic Optimization Framework , 2014 .
[9] A. Jameson,et al. Numerical solution of the Euler equations by finite volume methods using Runge Kutta time stepping schemes , 1981 .
[10] Leifur Þ. Leifsson,et al. Multifidelity model-assisted probability of detection via Cokriging , 2019 .
[11] A. O'Hagan,et al. Predicting the output from a complex computer code when fast approximations are available , 2000 .
[12] C. Mader,et al. Derivatives for Time-Spectral Computational Fluid Dynamics Using an Automatic Differentiation Adjoint , 2012 .
[13] Xiangyang Wang,et al. Aerodynamic shape optimization using a novel optimizer based on machine learning techniques , 2019, Aerospace Science and Technology.
[14] Slawomir Koziel,et al. Trawl-Door Shape Optimization by Space-Mapping- Corrected CFD Models and Kriging Surrogates , 2016, ICCS.
[15] Joaquim R. R. A. Martins,et al. RANS-Based Aerodynamic Shape Optimization of a Strut-Braced Wing with Overset Meshes , 2018, Journal of Aircraft.
[16] Hugo Gagnon,et al. Aerodynamic Shape Optimization of Benchmark Problems Using Jetstream , 2015 .
[17] Andy J. Keane,et al. Recent advances in surrogate-based optimization , 2009 .
[18] Michael D. Shields,et al. The generalization of Latin hypercube sampling , 2015, Reliab. Eng. Syst. Saf..
[19] Joaquim R. R. A. Martins,et al. Robust aerodynamic shape optimization—From a circle to an airfoil , 2019, Aerospace Science and Technology.
[20] Slawomir Koziel,et al. Efficient Multi-Objective Aerodynamic Optimization by Design Space Dimension Reduction and Co-Kriging , 2016 .
[21] Benjamin Peherstorfer,et al. Survey of multifidelity methods in uncertainty propagation, inference, and optimization , 2018, SIAM Rev..
[22] Raphael T. Haftka,et al. Surrogate-based Analysis and Optimization , 2005 .
[23] Gang Sun,et al. Application of deep learning based multi-fidelity surrogate model to robust aerodynamic design optimization , 2019, Aerospace Science and Technology.
[24] Jacques Peter,et al. Gradient-Based Aerodynamic Optimization with the elsA Software , 2014 .
[25] Joaquim R. R. A. Martins,et al. On the influence of optimization algorithm and initial design on wing aerodynamic shape optimization , 2018 .
[26] Slawomir Koziel,et al. Variable-fidelity CFD models and co-Kriging for expedited multi-objective aerodynamic design optimization , 2016 .
[27] Michael J. Aftosmis,et al. Aerodynamic Shape Optimization Benchmarks with Error Control and Automatic Parameterization , 2015 .
[28] P. Spalart. A One-Equation Turbulence Model for Aerodynamic Flows , 1992 .