Results 31 to 40 of about 223,298 (311)

Surrogate models for composed simulation models in energy systems

open access: yesEnergy 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
doaj   +1 more source

Physics-regularized neural network of the ideal-MHD solution operator in Wendelstein 7-X configurations

open access: yesNuclear 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
doaj   +1 more source

Using physical property surrogate models to perform multi-fidelity global optimization of force field parameters

open access: yes, 2022
Dispersion-repulsion interactions, commonly represented in atomistic force fields by the Lennard-Jones (LJ) potential, play an important role in the accuracy of molecular simulations.
Michael, Shirts, Owen, Madin
core   +1 more source

Surrogate Groundwater Models [PDF]

open access: yes, 2021
The spatially and temporally variable parameters and inputs to complex groundwater models typically result in long runtimes which hinder comprehensive analysis.
Asher, Michael
core   +1 more source

Integration of value and sustainability assessment in design space exploration by machine learning: an aerospace application

open access: yesDesign 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
doaj   +1 more source

GTApprox: Surrogate modeling for industrial design [PDF]

open access: yesAdvances in Engineering Software, 2016
31 pages, 11 ...
Mikhail Belyaev   +6 more
openaire   +2 more sources

On using surrogates with genetic programming [PDF]

open access: yes, 2014
One way to accelerate evolutionary algorithms with expensive fitness evaluations is to combine them with surrogate models. Surrogate models are efficiently computable approximations of the fitness function, derived by means of statistical or machine ...
Branke, Jürgen, Hildebrandt, Torsten
core   +1 more source

Simulation of the Oxidation and Combustion of Mixed Diesel-Biodiesel Fuel

open access: yesMATEC Web of Conferences, 2018
A comparative simulation-based research has been set up to obtain valid kinetic models of the oxidation and combustion of biodiesel surrogate and diesel surrogate, as well as mixed diesel-biodiesel surrogates which is used to predict their ignition delay
Muharam Yuswan   +2 more
doaj   +1 more source

An Offline Weighted-Bagging Data-Driven Evolutionary Algorithm with Data Generation Based on Clustering

open access: yesMathematics, 2023
In recent years, a variety of data-driven evolutionary algorithms (DDEAs) have been proposed to solve time-consuming and computationally intensive optimization problems.
Zongliang Guo   +3 more
doaj   +1 more source

Surrogate modeling approximation using a mixture of experts based on EM joint estimation [PDF]

open access: yes, 2010
An automatic method to combine several local surrogate models is presented. This method is intended to build accurate and smooth approximation of discontinuous functions that are to be used in structural optimization problems.
Dimitri Bettebghor   +9 more
core   +1 more source

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