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Published in 2018 at "Water Resources Management"
DOI: 10.1007/s11269-018-2116-0
Abstract: Variable-fidelity modelling has been utilized in several engineering optimization studies to construct surrogate models. However, similar approaches have received much less attention in coastal aquifer management problems. A variable-fidelity optimization framework was developed utilizing a…
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Keywords:
fidelity;
seawater intrusion;
coastal;
optimization ... See more keywords
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Published in 2021 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2021.106572
Abstract: Abstract To further alleviate the computational cost of single-fidelity efficient global optimization (EGO) method, the variable-fidelity surrogate-based EGO method assisted by variable-fidelity expected improvement (VF-EI) criterion has emerged and demonstrated to be efficient. This method…
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Keywords:
simulation failures;
optimization;
method;
variable fidelity ... See more keywords
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Published in 2024 at "Physics of Fluids"
DOI: 10.1063/5.0188386
Abstract: Variable-fidelity surrogate models leverage low-fidelity data with low cost to assist in constructing high-precision models, thereby improving modeling efficiency. However, traditional machine learning methods require high correlation between low-precision and high-precision data. To address this…
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Keywords:
variable fidelity;
fidelity;
surrogate;
fidelity surrogate ... See more keywords
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Published in 2019 at "Engineering Computations"
DOI: 10.1108/ec-01-2019-0029
Abstract: Purpose This paper aims to investigate the strategy for low-cost yield optimization of miniaturized microstrip couplers using variable-fidelity electromagnetic (EM) simulations. Design/methodology/approach Usefulness of data-driven models constructed from structure frequency responses formulated in the form…
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Keywords:
optimization;
using variable;
microstrip couplers;
variable fidelity ... See more keywords
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Published in 2024 at "IEEE Transactions on Antennas and Propagation"
DOI: 10.1109/tap.2024.3481663
Abstract: Online-model-based machine-learning-assisted optimization (MLAO) methods are widely used to reduce the computational burden of complex electromagnetic (EM) optimization problems. Multidesign parameter and multiobjective EM problems are common in engineering practice. As the problem design dimensionality…
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Keywords:
variable fidelity;
machine learning;
optimization;
design ... See more keywords
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Published in 2019 at "Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science"
DOI: 10.1177/0954406218792574
Abstract: Now more than ever, the amount of fuel a ship consumes and the amount of carbon dioxide emitted from a ship have attracted many researchers’ attention towards efficient and cost-effective ship designs. Therefore, fuel consumption…
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Keywords:
fuel;
ship;
optimization;
variable fidelity ... See more keywords
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Published in 2019 at "AIAA Journal"
DOI: 10.2514/1.j056486
Abstract: The design of helicopter rotor blades is a challenging task. On the one hand, there are the demanding simulations, which are a multidisciplinary endeavor. On the other hand, tools for parametric st...
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Keywords:
fidelity methodology;
methodology;
helicopter;
aerodynamic optimization ... See more keywords