Results 11 to 20 of about 4,460 (214)
Grid Enabled Surrogate Modeling [PDF]
, 2009 The simulation and optimization of complex systems is a very time consuming and computationally intensive task. Therefore, global surrogate modeling methods are often used for the efficient exploration of the design space, as they reduce the number of simulations needed.
Gorissen, Dirk +3 more
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Dynamical model of surrogate reactions [PDF]
Physical Review C, 2011 17 pages, 5 ...
Y. Aritomo, S. Chiba, K. Nishio
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Empirical Study of Data-Driven Evolutionary Algorithms in Noisy Environments
Mathematics, 2022 For computationally intensive problems, data-driven evolutionary algorithms (DDEAs) are advantageous for low computational budgets because they build surrogate models based on historical data to approximate the expensive evaluation.
Dalue Lin +3 more
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Surrogacy-Based Maximization of Output Power of a Low-Voltage Vibration Energy Harvesting Device
Applied Sciences, 2020 The coreless microgenerators implemented in electromagnetic vibration energy harvesting devices usually suffer from power deficiency. This can be noticeably improved by optimizing the distribution of separate turns within the armature winding.
Marcin Kulik +2 more
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Classical Surrogates for Quantum Learning Models
Physical Review Letters, 2023 The advent of noisy intermediate-scale quantum computers has put the search for possible applications to the forefront of quantum information science. One area where hopes for an advantage through near-term quantum computers are high is quantum machine learning, where variational quantum learning models based on parametrized quantum circuits are ...
Franz J. Schreiber +2 more
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Kernel Methods for Surrogate Modeling
CoRR, 2019 This chapter deals with kernel methods as a special class of techniques for surrogate modeling. Kernel methods have proven to be efficient in machine learning, pattern recognition and signal analysis due to their flexibility, excellent experimental performance and elegant functional analytic background.
Santin G., Haasdonk B.
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Surrogate models for composed simulation models in energy systems
Energy Informatics, 2018 New technologies and methodologies for smart grid applications cannot be tested in the real power grid, since it is a safety-critical infrastructure, therefore simulation and co-simulation is utilized.
Stephan Balduin
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Nuclear Fusion, 2023 The computational cost of constructing 3D magnetohydrodynamic (MHD) equilibria is one of the limiting factors in stellarator research and design. Although data-driven approaches have been proposed to provide fast 3D MHD equilibria, the accuracy with ...
Andrea Merlo +5 more
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Design Science, 2020 The use of decision-making models in the early stages of the development of complex products and technologies is a well-established practice in industry.
Alessandro Bertoni +3 more
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GTApprox: Surrogate modeling for industrial design [PDF]
Advances in Engineering Software, 2016 31 pages, 11 ...
Mikhail Belyaev +6 more
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