Multi-round Surrogate-based Optimization for Benchmark Aerodynamic Design Problems

[1]  Pierre Sagaut,et al.  Comparison of Gradient-Based and Gradient-Enhanced Response-Surface-Based Optimizers , 2010 .

[2]  D. Krige A statistical approach to some basic mine valuation problems on the Witwatersrand, by D.G. Krige, published in the Journal, December 1951 : introduction by the author , 1951 .

[3]  P. Lancaster,et al.  Surfaces generated by moving least squares methods , 1981 .

[4]  Shigeru Obayashi,et al.  Multidisciplinary design optimization of wing shape for a small jet aircraft using kriging model , 2006 .

[5]  N. M. Alexandrov,et al.  A trust-region framework for managing the use of approximation models in optimization , 1997 .

[6]  B. Kulfan Universal Parametric Geometry Representation Method , 2008 .

[7]  Zhong-Hua Han,et al.  A Preconditioned Multigrid Method for Efficient Simulation of Three-dimensional Compressible and Incompressible Flows , 2007 .

[8]  J. Alonso,et al.  Using gradients to construct cokriging approximation models for high-dimensional design optimization problems , 2002 .

[9]  Zhong-Hua Han,et al.  Efficient Kriging-Based Aerodynamic Design of Transonic Airfoils: Some Key Issues , 2012 .

[10]  Stefan Görtz,et al.  Alternative Cokriging Method for Variable-Fidelity Surrogate Modeling , 2012 .

[11]  A. Jameson Optimum aerodynamic design using CFD and control theory , 1995 .

[12]  Charles Audet,et al.  A surrogate-model-based method for constrained optimization , 2000 .

[13]  David S. Broomhead,et al.  Multivariable Functional Interpolation and Adaptive Networks , 1988, Complex Syst..

[14]  A. Jameson,et al.  Aerodynamic Shape Optimization of Complex Aircraft Configurations via an Adjoint Formulation , 1996 .

[15]  Donald R. Jones,et al.  Efficient Global Optimization of Expensive Black-Box Functions , 1998, J. Glob. Optim..

[16]  A. O'Hagan,et al.  Predicting the output from a complex computer code when fast approximations are available , 2000 .

[17]  Andy J. Keane,et al.  Surrogate-based aerodynamic shape optimization of a civil aircraft engine nacelle , 2007 .

[18]  James M. Parr,et al.  Infill sampling criteria for surrogate-based optimization with constraint handling , 2012 .

[19]  Timothy W. Simpson,et al.  Design and Analysis of Computer Experiments in Multidisciplinary Design Optimization: A Review of How Far We Have Come - Or Not , 2008 .

[20]  Joel Brezillon,et al.  2D and 3D aerodynamic shape optimisation using the adjoint approach , 2004 .

[21]  Slawomir Koziel,et al.  Application of Direct and Surrogate-Based Optimization to Two-Dimensional Benchmark Aerodynamic Problems: A Comparative Study , 2015 .

[22]  George E. P. Box,et al.  Empirical Model‐Building and Response Surfaces , 1988 .

[23]  Stefan Görtz,et al.  Hierarchical Kriging Model for Variable-Fidelity Surrogate Modeling , 2012 .

[24]  Raphael T. Haftka,et al.  Surrogate-based Analysis and Optimization , 2005 .

[25]  Kazuomi Yamamoto,et al.  High-lift Wing Design in Consideration of Sweep Angle Effect Using Kriging Model , 2008 .

[26]  Antony Jameson,et al.  Aerodynamic design via control theory , 1988, J. Sci. Comput..

[27]  Zhong-Hua Han,et al.  Numerical Study of High-Resolution Scheme Based on Preconditioning Method , 2008 .

[28]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[29]  Michael S. Eldred,et al.  OVERVIEW OF MODERN DESIGN OF EXPERIMENTS METHODS FOR COMPUTATIONAL SIMULATIONS , 2003 .

[30]  Donald R. Jones,et al.  A Taxonomy of Global Optimization Methods Based on Response Surfaces , 2001, J. Glob. Optim..

[31]  Andy J. Keane,et al.  Recent advances in surrogate-based optimization , 2009 .