Results 81 to 90 of about 461,664 (195)

Recent Design Optimization Methods for Energy-Efficient Electric Motors and Derived Requirements for a New Improved Method—Part 1

Proceedings, 2018
Energy-efficient electric motors are gathering an increased attention since they are used in electric cars or to reduce operational costs, for instance.
Johannes Schmelcher, Max Kleine Büning, Kai Kreisköther, Dieter Gerling, Achim Kampker   +4 more
doaj   +1 more source

Numerical Investigation and Optimization of a Flushwall Injector for Scramjet Applications at Hypervelocity Flow Conditions [PDF]

An investigation utilizing Reynolds-averaged simulations (RAS) was performed in order to demonstrate the use of design and analysis of computer experiments (DACE) methods in Sandias DAKOTA software package for surrogate modeling and optimization.
Axdahl, Erik L., Baurle, Robert A., Drozda, Tomasz G., Shenoy, Rajiv R.   +3 more
core   +1 more source

Review of multi-fidelity models

Multi-fidelity models provide a framework for integrating computational models of varying complexity, allowing for accurate predictions while optimizing computational resources.
Fernández-Godino, M. Giselle
core   +1 more source

A surrogate modeling and adaptive sampling toolbox for computer based design [PDF]

, 2010
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging design problems.
Couckuyt, Ivo, Crombecq, Karel, Demeester, Piet, Dhaene, Tom, Gorissen, Dirk   +4 more
core  

Surrogate Models and Ensemble Strategies for Expensive Evolutionary Optimization: An Industrial Case Study

IEEE Access
Expensive optimization problems are characterized by the significant amount of time and resources needed to determine the quality of potential solutions.
Mario Garza-Fabre, Nicolas Cortes-Garcia, Hiram Galeana-Zapien, Ricardo Landa   +3 more
doaj   +1 more source

Data-Driven Multi-Objective Optimization of Conformal Cooling Channels for Energy-Efficient Injection Molding

Mathematics
Injection molding is widely used for plastic parts, but its performance is limited by the cooling stage, which dominates cycle time and affects dimensional stability and energy consumption.
Carlos Pereira, António J. Pontes, António Gaspar-Cunha   +2 more
doaj   +1 more source

Surrogate Modeling: Review and Opportunities for Expert Knowledge Integration

Procedia Computer Science
Digital Twins (DTs), essential for digitalization and Industry 4.0, demand high-fidelity yet computationally efficient models for real-time replication of physical systems. However, simulating continuous dynamical systems, often stiff and highly granular, poses significant computational challenges.
Šturek, Dušan, Lazarova-Molnar, Sanja
openaire   +3 more sources

Modeling and the Use of Surrogate Endpoints: Is This a Valid Approach?

Digestive Diseases and Sciences
Abstract Development of novel colorectal cancer (CRC) screening tests is a dynamic field. Decision analytic modeling based on inputs derived from rigorous prospective studies informs CRC screening guidelines. Exploratory modeling may have a place in early phases of test development.
Ladabaum, Uri, van Duuren, Luuk A., Half, Elizabeth E., Levi, Zohar, Silverman, Barbara, Lansdorp-Vogelaar, Iris   +5 more
openaire   +2 more sources

A deep learning framework for rapid prediction of floor response spectra in multi-story buildings

Journal of Asian Architecture and Building Engineering
This paper presents a study on the development of a deep learning-based methodology for rapidly predicting the floor response spectrum (FRS) of multi-story buildings.
Yuhong Hu, Jianze Wang, Xuelian Li, Kaoshan Dai, Reza Sharbati, Yuanli Tang, Adane Demeke Wasse   +6 more
doaj   +1 more source

Impact of surrogate model accuracy on performance and model management strategy in surrogate-assisted evolutionary algorithms

Array
Surrogate-assisted evolutionary algorithms (SAEAs) have been proposed to solve expensive optimization problems. Although SAEAs use surrogate models that approximate the evaluations of solutions using machine learning techniques, prior research has not adequately investigated the impact of surrogate model accuracy on search performance and model ...
Yuki Hanawa, Tomohiro Harada, Yukiya Miura   +2 more
openaire   +2 more sources