Determining Convergence in Gaussian Process Surrogate Model Optimization

  • Published 2015

Abstract

Identifying convergence in numerical optimization is an ever-present, difficult, and often subjective task. The statistical framework of Gaussian process surrogate model optimization provides useful measures for tracking optimization progress; however, the identification of convergence via these criteria has often provided only limited success and often… (More)

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Cite this paper

@inproceedings{2015DeterminingCI, title={Determining Convergence in Gaussian Process Surrogate Model Optimization}, author={}, year={2015} }