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Surrogate Models for Coupled Microgrids
2019We 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
2016Surrogate-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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, 2020
To improve the dynamic reliability analysis of complex structures like turbine blisk, moving extremum surrogate modeling strategy (MESMS) is proposed in respect of multi-physics coupling with various dynamics/uncertainties.
Cheng Lu +4 more
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To improve the dynamic reliability analysis of complex structures like turbine blisk, moving extremum surrogate modeling strategy (MESMS) is proposed in respect of multi-physics coupling with various dynamics/uncertainties.
Cheng Lu +4 more
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The Generalized Penalty-Function/Surrogate Model
Operations Research, 1973This 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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A comparative study on surrogate models for SAEAs
Optimization Letters, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mônica A. C. Valadão, Lucas S. Batista
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An enhanced Kriging surrogate modeling technique for high-dimensional problems
, 2020Surrogate modeling techniques are widely used to simulate the behavior of manufactured and engineering systems. The construction of such surrogate models may become intractable in cases when input spaces have high dimensions, because the large number of ...
Yicheng Zhou, Zhenzhou Lu
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Surrogate Models for Antimalarials
1984In 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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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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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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Performance-Based Nested Surrogate Modeling of Antenna Input Characteristics
IEEE Transactions on Antennas and Propagation, 2019Utilization of electromagnetic (EM) simulation tools is mandatory in the design of contemporary antenna structures. At the same time, conducting design procedures that require multiple evaluations of the antenna at hand, such as parametric optimization ...
S. Koziel, A. Pietrenko‐Dabrowska
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