Results 331 to 340 of about 24,324,331 (382)
Some of the next articles are maybe not open access.
IEEE Transactions on Neural Networks and Learning Systems, 2023
Multiobjective optimization problems (MOPs) with expensive constraints pose stiff challenges to existing surrogate-assisted evolutionary algorithms (SAEAs) in a very limited computational cost, due to the fact that the number of expensive constraints for
Yajie Zhang +4 more
semanticscholar +1 more source
Multiobjective optimization problems (MOPs) with expensive constraints pose stiff challenges to existing surrogate-assisted evolutionary algorithms (SAEAs) in a very limited computational cost, due to the fact that the number of expensive constraints for
Yajie Zhang +4 more
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print), 2023
Reliability-based global path planning incorporates reliability constraints into path planning to ensure that off-road autonomous ground vehicles can operate reliably in uncertain off-road environments.
Jianhua Yin +5 more
semanticscholar +1 more source
Reliability-based global path planning incorporates reliability constraints into path planning to ensure that off-road autonomous ground vehicles can operate reliably in uncertain off-road environments.
Jianhua Yin +5 more
semanticscholar +1 more source
A Surrogate Modeling Approach for Frequency-Reconfigurable Antennas
IEEE Transactions on Antennas and Propagation, 2023A novel generalizable surrogate modeling approach is specifically developed for frequency-reconfigurable antennas. The generalizable modeling processes is based on the rigorous mathematical derivation, including the solution of a nonlinear overdetermined
Yuming Bai +3 more
semanticscholar +1 more source
Science China Physics Mechanics and Astronomy, 2021
The thermal issue is of great importance during the layout design of heat source components in systems engineering, especially for high functional-density products.
Xianqi Chen +6 more
semanticscholar +1 more source
The thermal issue is of great importance during the layout design of heat source components in systems engineering, especially for high functional-density products.
Xianqi Chen +6 more
semanticscholar +1 more source
Scripta Materialia, 2021
We present a machine learning based surrogate modeling method for predicting spatially resolved 3D crystal orientation evolution of polycrystalline materials under uniaxial tensile loading.
Anup Pandey, R. Pokharel
semanticscholar +1 more source
We present a machine learning based surrogate modeling method for predicting spatially resolved 3D crystal orientation evolution of polycrystalline materials under uniaxial tensile loading.
Anup Pandey, R. Pokharel
semanticscholar +1 more source
Rapid Surrogate Modeling of Electromagnetic Data in Frequency Domain Using Neural Operator
IEEE Transactions on Geoscience and Remote Sensing, 2022The efficiency of solving geophysical inverse problem largely relies on the efficiency of solving the corresponding forward problem. As for electromagnetic (EM) data forward modeling in frequency domain, the conventional numerical methods, e.g., finite ...
Zhong Peng +5 more
semanticscholar +1 more source
Protecting SLAs with surrogate models
Proceedings of the 2nd International Workshop on Principles of Engineering Service-Oriented Systems, 2010In this paper, we propose the use of surrogate models to avoid or limit violations of the service level agreements (protect SLAs) of enterprise applications executed within virtualized data centers (VDCs).Modern enterprise services are delivered along with service level agreements (SLAs) that formalize the expected quality of service, and define ...
Alessio Gambi +2 more
openaire +2 more sources
Linear Subspace Surrogate Modeling for Large-Scale Expensive Single/Multiobjective Optimization
IEEE Transactions on Evolutionary ComputationDespite that the surrogate-assisted evolutionary algorithms have achieved great success in addressing expensive optimization problems, they still suffer from stiff challenges when the number of dimensions of problems becomes large.
Langchun Si +5 more
semanticscholar +1 more source
Water Resources Research, 1972
To improve the accuracy and completeness of a data base is expensive. Mathematical models and digital computer simulation techniques make a quantitative evaluation of the worth of improving the data base possible by empirical sensitivity analysis. Triangular and log triangular error distributions have been found suitable for Monte Carlo experiments to ...
openaire +1 more source
To improve the accuracy and completeness of a data base is expensive. Mathematical models and digital computer simulation techniques make a quantitative evaluation of the worth of improving the data base possible by empirical sensitivity analysis. Triangular and log triangular error distributions have been found suitable for Monte Carlo experiments to ...
openaire +1 more source
2019
This Chapter presents the first key component of BO, that is, the probabilistic surrogate model. Section 3.1 is focused on Gaussian processes (GPs); Sect. 3.2 introduces the sequential optimization method known as Thompson sampling, also based on GP; finally, Sect. 3.3 presents other probabilistic models which might represent, in some cases, a suitable
Francesco Archetti, Antonio Candelieri
openaire +1 more source
This Chapter presents the first key component of BO, that is, the probabilistic surrogate model. Section 3.1 is focused on Gaussian processes (GPs); Sect. 3.2 introduces the sequential optimization method known as Thompson sampling, also based on GP; finally, Sect. 3.3 presents other probabilistic models which might represent, in some cases, a suitable
Francesco Archetti, Antonio Candelieri
openaire +1 more source