A new sequential optimal sampling method for radial basis functions

DOI10.1016/J.AMC.2012.02.067zbMath1245.62097OpenAlexW2043283433MaRDI QIDQ440934

Xin Wei, Yi-Zhong Wu, Li-Ping Chen

Publication date: 19 August 2012

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2012.02.067

zbMATH Keywords

radial basis functionssequential samplingmetamodelmodel approximation

Mathematics Subject Classification ID

Sequential statistical analysis (62L10)

Related Items (5)

Sequential approximate optimization with adaptive parallel infill strategy assisted by inaccurate Pareto front ⋮ Surrogate-based optimization with adaptive parallel infill strategy enhanced by inaccurate multi-objective search ⋮ A weighted sequential sampling method considering influences of sample qualities in input and output parameter spaces for global optimization ⋮ Modeling strength and failure variability due to porosity in additively manufactured metals ⋮ Sequential approximate optimization for discrete design variable problems using radial basis function network

Cites Work

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• Lipschitzian optimization without the Lipschitz constant
• Design and analysis of computer experiments. With comments and a rejoinder by the authors
• Compactly supported positive definite radial functions
• Numerical Procedures for Surface Fitting of Scattered Data by Radial Functions
• Radial Basis Functions

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