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David Toal
David Toal
soton.ac.uk의 이메일 확인됨
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Kriging hyperparameter tuning strategies
DJJ Toal, NW Bressloff, AJ Keane
AIAA journal 46 (5), 1240-1252, 2008
2192008
Some considerations regarding the use of multi-fidelity Kriging in the construction of surrogate models
DJJ Toal
Structural and Multidisciplinary Optimization 51, 1223-1245, 2015
1562015
Efficient multipoint aerodynamic design optimization via cokriging
DJJ Toal, AJ Keane
Journal of Aircraft 48 (5), 1685-1695, 2011
1172011
The development of a hybridized particle swarm for kriging hyperparameter tuning
DJJ Toal, NW Bressloff, AJ Keane, CME Holden
Engineering optimization 43 (6), 675-699, 2011
1152011
Geometric filtration using proper orthogonal decomposition for aerodynamic design optimization
DJJ Toal, NW Bressloff, AJ Keane, CME Holden
AIAA journal 48 (5), 916-928, 2010
1102010
Engineering design applications of surrogate-assisted optimization techniques
A Sóbester, AIJ Forrester, DJJ Toal, E Tresidder, S Tucker
Optimization and Engineering 15, 243-265, 2014
782014
Robust turbine blade optimization in the face of real geometric variations
J Kamenik, I Voutchkov, DJJ Toal, AJ Keane, L Högner, M Meyer, R Bates
Journal of Propulsion and Power 34 (6), 1479-1493, 2018
542018
Multifidelity multidisciplinary whole-engine thermomechanical design optimization
DJJ Toal, AJ Keane, D Benito, JA Dixon, J Yang, M Price, T Robinson, ...
Journal of Propulsion and Power 30 (6), 1654-1666, 2014
502014
An adjoint for likelihood maximization
DJJ Toal, AIJ Forrester, NW Bressloff, AJ Keane, C Holden
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2009
422009
Geometric filtration using POD for aerodynamic design optimization
D Toal, N Bressloff, A Keane
26th AIAA Applied Aerodynamics Conference, 6584, 2008
372008
Multi-fidelity Kriging-assisted structural optimization of whole engine models employing medial meshes
HK Yong, L Wang, DJJ Toal, AJ Keane, F Stanley
Structural and Multidisciplinary Optimization 60, 1209-1226, 2019
352019
Non-stationary kriging for design optimization
DJJ Toal, AJ Keane
Engineering Optimization 44 (6), 741-765, 2012
342012
Applications of multi-fidelity multi-output Kriging to engineering design optimization
DJJ Toal
Structural and Multidisciplinary Optimization 66 (6), 125, 2023
252023
On the potential of a multi-fidelity G-POD based approach for optimization and uncertainty quantification
DJJ Toal
Turbo Expo: Power for Land, Sea, and Air 45615, V02BT45A002, 2014
232014
Bi-objective optimization of pylon-engine-nacelle assembly: weight vs. tip clearance criterion
D Bettebghor, C Blondeau, D Toal, H Eres
Structural and Multidisciplinary Optimization 48, 637-652, 2013
222013
Performance of an ensemble of ordinary, universal, non-stationary and limit Kriging predictors
DJ J. Toal, AJ Keane
Structural and Multidisciplinary Optimization 47, 893-903, 2013
222013
A study into the potential of GPUs for the efficient construction and evaluation of Kriging models
DJJ Toal
Engineering with Computers 32, 377-404, 2016
192016
Method of designing a structure
C Holden, DJJ Toal, NW Bressloff, AJ Keane
US Patent 8,600,534, 2013
182013
Building a traceable climate model hierarchy with multi-level emulators
GT Tran, KIC Oliver, A Sóbester, DJJ Toal, PB Holden, R Marsh, ...
Advances in Statistical Climatology, Meteorology and Oceanography 2 (1), 17-37, 2016
172016
The potential of a multifidelity approach to gas turbine combustor design optimization
DJJ Toal, X Zhang, AJ Keane, CY Lee, M Zedda
Journal of Engineering for Gas Turbines and Power 143 (5), 051002, 2021
122021
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