Results 31 to 40 of about 461,664 (195)
Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems
IEEE Access, 2019 The central task in modeling complex dynamical systems is parameter estimation. This task is an optimization task that involves numerous evaluations of a computationally expensive objective function.
Ziga Luksic +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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, 2018 It has been shown that cooperative coevolution (CC) can effectively deal with large scale optimization problems (LSOPs) through a divide-and-conquer strategy.
Chen, An +3 more
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Fast prediction and evaluation of gravitational waveforms using surrogate models [PDF]
, 2013 [Abridged] We propose a solution to the problem of quickly and accurately predicting gravitational waveforms within any given physical model. The method is relevant for both real-time applications and in more traditional scenarios where the generation of
Field, Scott E. +4 more
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Quantile-based optimization under uncertainties using adaptive Kriging surrogate models [PDF]
, 2016 Uncertainties are inherent to real-world systems. Taking them into account is crucial in industrial design problems and this might be achieved through reliability-based design optimization (RBDO) techniques.
Bourinet, J. -M. +3 more
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Frontiers in Chemical EngineeringThis work presents a process-integrity assessment framework to chemical process design that combines first principles, heuristics, vendor specifications, standards/codes, data analysis, and machine learning modelling, hypothesized as an efficient route ...
Rahul Gupta +2 more
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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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Science and Technology for Energy TransitionIn this paper, deterministic and robust design optimizations of a permanent magnet-assisted synchronous reluctance motor were performed to study the impact of different uncertain input parameters on the design.
Reyes Adán Reyes +3 more
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Black-hole kicks from numerical-relativity surrogate models [PDF]
, 2018 Binary black holes radiate linear momentum in gravitational waves as they merge. Recoils imparted to the black-hole remnant can reach thousands of km/s, thus ejecting black holes from their host galaxies.
Gerosa, Davide +2 more
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Comparison of Circuit Models for ML-Assisted Microwave Circuit Design
IEEE Journal of MicrowavesMachine-learning (ML) assisted microwave circuit design is an interesting complement to traditional topology-based design since it opens up previously unexplored design spaces that in some cases may offer better performance, or similar performance with a
Martin Sjodin +4 more
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