Results 21 to 30 of about 223,298 (311)
Surrogate Models for Efficient Multi-Objective Optimization of Building Performance
Energies, 2023 Nowadays, the large set of available simulation tools brings numerous benefits to urban and architectural practices. However, simulations often take a considerable amount of time to yield significant results, particularly when performing many simulations
Gonçalo Roque Araújo +4 more
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Spatio-Temporal Gradient Enhanced Surrogate Modeling Strategies
Mathematical and Computational Applications, 2023 This research compares the performance of space-time surrogate models (STSMs) and network surrogate models (NSMs). Specifically, when the system response varies over time (or pseudo-time), the surrogates must predict the system response.
Johann M. Bouwer +2 more
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IEEE Access, 2022 The current design process of mooring systems for Floating Production, Storage, and Offloading units (FPSOs) depends on the availability of the platform’s mathematical model and the accuracy of dynamic simulations.
Lucas P. Cotrim +5 more
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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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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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Dynamical model of surrogate reactions [PDF]
Physical Review C, 2011 17 pages, 5 ...
Y. Aritomo, S. Chiba, K. Nishio
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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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Recent advances in surrogate-based optimization [PDF]
, 2009 The evaluation of aerospace designs is synonymous with the use of long running computationally intensive simulations. This fuels the desire to harness the efficiency of surrogate-based methods in aerospace design optimization.
Alexander I.J. Forrester +3 more
core +1 more source