Fetching the paper…
Reading the bibliography…
MATSuMoTo is the MATLAB Surrogate Model Toolbox for computationally expensive, black-box, global optimization problems that may have continuous, mixed-integer, or pure integer variables.
Principles of geostatistics
G. Matheron · 1963
Earlier work this paper cites.
Multivariate adaptive regression splines
J.H. Friedman · 1991
Earlier work this paper cites.
The Theory of Radial Basis Function Approximation in 1990
M.J.D. Powell · 1992
Earlier work this paper cites.
Response Surface Methodology, Process and Product Optimization using Designed Experiments
R.H. Myers and D.C. Montgomery · 1995
Earlier work this paper cites.
Efficient global optimization of expensive black-box functions
D.R. Jones, M. Schonlau, and W.J. Welch · 1998
Earlier work this paper cites.
A rigorous framework for optimization of expensive functions by surrogates
A.J. Booker, J.E. Dennis Jr, P.D. Frank, D.B. Serafini, V. Torczon, and M.W. Trosset · 1999
Earlier work this paper cites.
Algorithmic construction of optimal symmetric Latin hypercube designs
K.Q. Ye, W. Li, and A. Sudjianto · 2000
Earlier work this paper cites.
Global optimization of costly nonconvex functions using radial basis functions
M. Björkman and K. Holmström · 2001
Earlier work this paper cites.
A radial basis function method for global optimization
H.-M. Gutmann · 2001
Earlier work this paper cites.
A taxonomy of global optimization methods based on response surfaces
D.R. Jones · 2001
Cited alongside, same era.
Design and Analysis of Experiments
D.C. Montgomery · 2001
Cited alongside, same era.
Use of kriging models to approximate deterministic computer models
J. D. Martin and T. W. Simpson · 2005
Cited alongside, same era.
Ensemble of surrogates
T. Goel, R.T. Haftka, W. Shyy, and N.V. Queipo · 2007
Cited alongside, same era.
A stochastic radial basis function method for the global optimization of expensive functions
R.G. Regis and C.A. Shoemaker · 2007
Cited alongside, same era.
ORBIT: Optimization by radial basis function interpolation in trust-regions
S.M. Wild, R.G. Regis, and C.A. Shoemaker · 2007
Cited alongside, same era.
Parallel stochastic global optimization using radial basis functions
R.G. Regis and C.A. Shoemaker · 2009
Later among the works it cites.
Mixture surrogate models based on Dempster-Shafer theory for global optimization problems
J. Müller and R. Piché · 2011
Later among the works it cites.
A quasi-multistart framework for global optimization of expensive functions using response surface models
R.G. Regis and C.A. Shoemaker · 2012
Later among the works it cites.
SO-I: a surrogate model algorithm for expensive nonlinear integer programming problems including global optimization applications
J. Müller, C.A. Shoemaker, and R. Piché · 2013
Later among the works it cites.
SO-MI: A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems
J. Müller, C.A. Shoemaker, and R. Piché · 2013
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Using multiple surrogates for minimization of the RMS error in metamodeling
F.A.C. Viana and R.T. Haftka · 2008
Cited alongside, same era.
Introduction to Derivative-Free Optimization
A.R. Conn, K. Scheinberg, and L.N. Vicente · 2009
Cited alongside, same era.
Coupled aerostructural design optimization using the kriging model and integrated multiobjective optimization algorithm
X.B. Lam, Y.S. Kim, A.D. Hoang, and C.W. Park · 2009
Cited alongside, same era.
Combining radial basis function surrogates and dynamic coordinate search in high-dimensional expensive black-box optimization
R.G. Regis and C.A. Shoemaker · 2013
Later among the works it cites.
Global convergence of radial basis function trust-region algorithms for derivative-free optimization
S.M. Wild and C.A. Shoemaker · 2013
Later among the works it cites.
Influence of ensemble surrogate models and sampling strategy on the solution quality of algorithms for computationally expensive black-box global optimization problems
J. Müller and C.A. Shoemaker · 2014
Closest in time.