Journal ArticleDOI
Comment: EI Criteria for Noisy Computer Simulators
TLDR
The author believes that the methodologies presented by Picheny et al. are innovative and should be useful for computer experiment practitioners.Abstract:
The author believes that the methodologies presented by Picheny et al. are innovative and should be useful for computer experiment practitioners.read more
Citations
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Design of Computer Experiments for Optimization, Estimation of Function Contours, and Related Objectives
TL;DR: A computer code or simulator is a mathematical representation of a physical system, for example a set of differential equations, which simulates the average tidal power generated as a function of the turbine location in the Bay of Fundy.
Journal ArticleDOI
Selecting the selector: Comparison of update rules for discrete global optimization
James Theiler,Beate G. Zimmer +1 more
TL;DR: The focus of this paper is to investigate the choice of selector when the regressor is well matched to the data, and to isolate the two stages of this optimization in terms of a “regressor,” which fits a model to theData measured so far, and a ‘selector,’ which identifies the next point to be measured.
Journal ArticleDOI
A Sequential Design Approach for Calibrating a Dynamic Population Growth Model
TL;DR: This work focuses on the inverse problem, that is, to estimate the set of parameters/inputs of the TDB model that produces the computer model output matching the field observation as closely as possible, and proposes a new criterion for extracting the optimal inverse solution from the final surrogate.
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Inverse Mapping for Rainfall-Runoff Models using History Matching Approach
TL;DR: This paper proposes to apply a history matching approach for calibrating these hydrological models, which also gives better insights for improved management of these systems.
Journal ArticleDOI
Nested Bayesian Optimization for Computer Experiments
TL;DR: In this paper , the authors proposed a novel nested Bayesian optimization method for complex computer experiments with multistep or hierarchical characteristics, which can efficiently minimize the residual stress during composite structures assembly and avoid convergence to local optima.
References
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Journal ArticleDOI
The design and analysis of computer experiments
TL;DR: This paper presents a meta-modelling framework for estimating Output from Computer Experiments-Predicting Output from Training Data and Criteria Based Designs for computer Experiments.
Journal ArticleDOI
Design and analysis of computer experiments
Sonja Kuhnt,David M. Steinberg +1 more
TL;DR: The included papers present an interesting mixture of recent developments in the field as they cover fundamental research on the design of experiments, models and analysis methods as well as more applied research connected to real-life applications.
Book ChapterDOI
On Bayesian Methods for Seeking the Extremum
TL;DR: Many well known methods for seeking the extremum had been developed on the basis of quadratic approximation.
Journal ArticleDOI
Quantile-Based Optimization of Noisy Computer Experiments With Tunable Precision
TL;DR: In this article, a quantile-based criterion for the sequential design of experiments, in the fashion of the classical expected improvement criterion, which allows an elegant treatment of heterogeneous response precisions, is proposed.