Results 41 to 50 of about 22,195,649 (288)
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
doaj +1 more source
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
doaj +1 more source
Advanced Intelligent Systems, 2021 Bayesian optimization (BO) has emerged as the algorithm of choice for guiding the selection of experimental parameters in automated active learning driven high throughput experiments in materials science and chemistry.
Y. Lim +3 more
semanticscholar +1 more source
Surrogate Models for Optimization of Dynamical Systems [PDF]
Social Science Research Network, 2021 Driven by increased complexity of dynamical systems, the solution of system of differential equations through numerical simulation in optimization problems has become computationally expensive.
Kainat Khowaja +2 more
semanticscholar +1 more source
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
core +4 more sources
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
core +6 more sources
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
doaj +1 more source
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
doaj +1 more source
Mesh-Free Surrogate Models for Structural Mechanic FEM Simulation: A Comparative Study of Approaches
Applied Sciences, 2021 The technical world of today fundamentally relies on structural analysis in the form of design and structural mechanic simulations. A traditional and robust simulation method is the physics-based finite element method (FEM) simulation. FEM simulations in
J. G. Hoffer +3 more
semanticscholar +1 more source
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
doaj +1 more source