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, 2021
Even though many efforts have been devoted to effective strategies to build accurate surrogate models, surrogate model uncertainty is inevitable due to a limited number of available simulation samples. Therefore, the surrogate model uncertainty, one of
Yongsu Jung +3 more
semanticscholar +1 more source
Even though many efforts have been devoted to effective strategies to build accurate surrogate models, surrogate model uncertainty is inevitable due to a limited number of available simulation samples. Therefore, the surrogate model uncertainty, one of
Yongsu Jung +3 more
semanticscholar +1 more source
Towards Surrogate Reaction Model Development
Volume 2: Combustion, Fuels and Emissions, Parts A and B, 2011The present paper describes the proposed strategy of fuel model design based on identification of chemical and physical criteria for the selection of initial formula of the reference fuel. The first 8 criteria established and studied in previous papers so far are combustion enthalpy, formation enthalpy, molecular weight, C/H-ratio, sooting tendency ...
Slavinskaya, Nadezhda A. +2 more
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Conservative Predictions Using Surrogate Modeling
49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference <br> 16th AIAA/ASME/AHS Adaptive Structures Conference<br> 10t, 2008[Abstract] Conservative prediction refers to calcu lations or approximations that tend to estimate safely the response of a system. The aim o f this study is to explore and compare the alternatives to produce conservative predictions wh en using surrogate models.
Picheny, Victor +3 more
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International journal for numerical and analytical methods in geomechanics (Print), 2020
Efficient evaluation of slope stability is a frontier in geo‐disaster prevention fields. While many slope stability evaluation methods, ranging from deterministic to probabilistic, have been proposed, reliability methods are particularly advantageous as ...
B. Zhu, T. Hiraishi, H. Pei, Q. Yang
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Efficient evaluation of slope stability is a frontier in geo‐disaster prevention fields. While many slope stability evaluation methods, ranging from deterministic to probabilistic, have been proposed, reliability methods are particularly advantageous as ...
B. Zhu, T. Hiraishi, H. Pei, Q. Yang
semanticscholar +1 more source
, 2020
Surrogate models, which have become a popular approach to oil-reservoir production-optimization problems, use a computationally inexpensive approximation function to replace the computationally expensive objective function computed by a numerical ...
Guodong Chen +7 more
semanticscholar +1 more source
Surrogate models, which have become a popular approach to oil-reservoir production-optimization problems, use a computationally inexpensive approximation function to replace the computationally expensive objective function computed by a numerical ...
Guodong Chen +7 more
semanticscholar +1 more source
IEEE transactions on energy conversion, 2020
A novel dynamic surrogate model based optimization (DSMO) for centralized thermoelectric generation (TEG) system affected by heterogeneous temperature difference (HeTD) is designed to achieve maximum power point tracking (MPPT) in this article.
Xiao Shun Zhang +3 more
semanticscholar +1 more source
A novel dynamic surrogate model based optimization (DSMO) for centralized thermoelectric generation (TEG) system affected by heterogeneous temperature difference (HeTD) is designed to achieve maximum power point tracking (MPPT) in this article.
Xiao Shun Zhang +3 more
semanticscholar +1 more source
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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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 ...
openaire +1 more source
2019
This Chapter presents the first key component of BO, that is, the probabilistic surrogate model. Section 3.1 is focused on Gaussian processes (GPs); Sect. 3.2 introduces the sequential optimization method known as Thompson sampling, also based on GP; finally, Sect. 3.3 presents other probabilistic models which might represent, in some cases, a suitable
Francesco Archetti, Antonio Candelieri
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This Chapter presents the first key component of BO, that is, the probabilistic surrogate model. Section 3.1 is focused on Gaussian processes (GPs); Sect. 3.2 introduces the sequential optimization method known as Thompson sampling, also based on GP; finally, Sect. 3.3 presents other probabilistic models which might represent, in some cases, a suitable
Francesco Archetti, Antonio Candelieri
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Surrogate Model-Based Space Mapping in Postfabrication Bandpass Filters’ Tuning
IEEE transactions on microwave theory and techniques, 2020A procedure for diagnosis and tuning of fabricated bandpass filters is presented. A surrogate model consisting of a mapped coarse model at a basis point and a mapping of measured response with respect to the change of tuning elements from the basis point
Song Li +3 more
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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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