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Felipe A. C. Viana
Tytuł
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Multiple surrogates: how cross-validation errors can help us to obtain the best predictor
FAC Viana, RT Haftka, V Steffen
Structural and Multidisciplinary Optimization 39 (4), 439-457, 2009
3992009
Design and analysis of computer experiments in multidisciplinary design optimization: a review of how far we have come or not
TW Simpson, V Toropov, V Balabanov, FAC Viana
12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA …, 2008
3662008
Metamodeling in Multidisciplinary Design Optimization: How Far Have We Really Come?
FAC Viana, TW Simpson, V Balabanov, V Toropov
AIAA Journal 52 (4), 670-690, 2014
358*2014
An algorithm for fast optimal Latin hypercube design of experiments
FAC Viana, G Venter, V Balabanov
International Journal for Numerical Methods in Engineering 82 (2), 135-156, 2010
3402010
Efficient global optimization algorithm assisted by multiple surrogate techniques
FAC Viana, RT Haftka, LT Watson
Journal of Global Optimization 56 (2), 669-689, 2013
2612013
SURROGATES toolbox user’s guide
FAC Viana
Users manual, http://fchegury. googlepages. com, 2009
1302009
Things you wanted to know about the Latin hypercube design and were afraid to ask
FAC Viana
10th World Congress on Structural and Multidisciplinary Optimization …, 2013
1222013
Multimodal vibration damping through piezoelectric patches and optimal resonant shunt circuits
FAC Viana, V Steffen Jr
Journal of the Brazilian Society of Mechanical Sciences and Engineering 28 …, 2006
1192006
Making the most out of surrogate models: tricks of the trade
FAC Viana, C Gogu, RT Haftka
ASME 2010 International Design Engineering Technical Conferences & Computers …, 2010
1052010
A Tutorial on Latin Hypercube Design of Experiments
FAC Viana
Quality and Reliability Engineering International, 2015
1042015
Tuning dynamic vibration absorbers by using ant colony optimization
FAC Viana, GI Kotinda, DA Rade, V Steffen Jr
Computers & Structures 86 (13-14), 1539-1549, 2008
692008
Surrogate-based optimization with parallel simulations using the probability of improvement
FAC Viana, RT Haftka
13th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, AIAA …, 2010
642010
Using multiple surrogates for metamodeling
FAC Viana, RT Haftka
7th ASMO-UK/ISSMO International Conference on Engineering Design Optimization, 2008
592008
Using cross validation to design conservative surrogates
FAC Viana, V Picheny, RT Haftka
AIAA Journal 48 (10), 2286-2298, 2010
532010
Why not run the efficient global optimization algorithm with multiple surrogates?
FAC Viana, RT Haftka, LT Watson
51st AIAAASMEASCEAHSASC Structures Structural Dynamics and Materials …, 2010
532010
A physics-informed neural network for wind turbine main bearing fatigue
YA Yucesan, FAC Viana
International Journal of Prognostics and Health Management 11 (1), 2020
512020
Physics-informed neural networks for missing physics estimation in cumulative damage models: a case study in corrosion fatigue
A Dourado, FAC Viana
ASME Journal of Computing and Information Science in Engineering, 2020
492020
Fleet Prognosis with Physics-informed Recurrent Neural Networks
RG Nascimento, FAC Viana
The 12th International Workshop on Structural Health Monitoring, 2019
442019
Lightweight design of vehicle parameters under crashworthiness using conservative surrogates
P Zhu, F Pan, W Chen, FAC Viana
Computers in Industry 64 (3), 280–289, 2013
392013
Optimization of aircraft structural components by using nature-inspired algorithms and multi-fidelity approximations
FAC Viana, V Steffen, S Butkewitsch, M de Freitas Leal
Journal of Global Optimization 45 (3), 427-449, 2009
372009
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