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Surrogate modeling

Water Resources Research, 1972
To improve the accuracy and completeness of a data base is expensive. Mathematical models and digital computer simulation techniques make a quantitative evaluation of the worth of improving the data base possible by empirical sensitivity analysis. Triangular and log triangular error distributions have been found suitable for Monte Carlo experiments to ...
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Surrogate Models for Coupled Microgrids

2019
We consider the operation of coupled microgrids. Each microgrid consists of a number of residential energy systems, each including an energy storage device. The goal is to determine an optimal energy exchange between the microgrids, which results in a two-level optimization problem.
Grundel, S.   +2 more
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Introduction to Surrogate Modeling and Surrogate-Based Optimization

2016
Surrogate-based optimization (SBO) is the main focus of this book. We provide a brief introduction to the subject in this chapter. In particular, we recall the SBO concept and the optimization flow, discuss the principles of surrogate modeling and typical approaches to construct surrogate models.
Slawomir Koziel, Leifur Leifsson
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The Generalized Penalty-Function/Surrogate Model

Operations Research, 1973
This paper combines the monotonic-penalty-function and surrogate models into a general model called the penalty-function/surrogate model. It unifies and generalizes the central theorems of earlier papers, and provides some new theorems that can be specialized to the Lagrangian penalty-function model (GLM) or to linear surrogates.
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Surrogate Models for Antimalarials

1984
In recent years studies concerned with the mode of action of antimalarial drugs such as chloroquine have shifted from those concerned primarily with the effects on a particular enzyme or enzyme system to studies concerned with the consequences of the ability of chloroquine to act as a lysosomotropic agent.
S.-C. Chou   +3 more
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Deep Residual Surrogate Model

Information Sciences, 2022
Tianxin Huang   +2 more
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Ensembles of Surrogate Models

2019
An ensemble of surrogate models (EM) is a surrogate model composed of a series of surrogate models combined through a weighted sum. An EM can take advantage of each individual surrogate model to effectively increase the robustness of the prediction. The mathematical expression for an EM can be given as follows:
Ping Jiang, Qi Zhou, Xinyu Shao
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Human surrogate models of neuropathic pain

Pain, 2005
Neuropathic pain is defined as pain initiated or caused by a primary lesion or dysfunction in the nervous system (Merskey and Bogduk, 1994). Current efforts to refine this definition focus on the terms ‘dysfunction’ and ‘nervous system’ with the intention to clarify that there has to be an identifiable lesion or disease process affecting the ...
Thomas, Klein   +3 more
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Surrogate Models

2021
Tony Pourmohamad, Herbert K. H. Lee
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A Review of Surrogate Models

2019
One critical aspect before assessing the geotechnical system deformation or stability conditions (responses) is the determination of the limit state surface numerically represented by limit state functions (or performance functions). In many complicated and nonlinear problems where the analyses involve the use of numerical procedures such as the finite
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