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Pramudita Satria Palar
Pramudita Satria Palar
Assistant Professor, Mechanical and Aerospace Engineering (Institut Teknologi Bandung)
Verificeret mail på ftmd.itb.ac.id - Startside
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Citeret af
Citeret af
År
Multi-fidelity non-intrusive polynomial chaos based on regression
PS Palar, T Tsuchiya, GT Parks
Computer Methods in Applied Mechanics and Engineering 305, 579-606, 2016
1012016
Global sensitivity analysis via multi-fidelity polynomial chaos expansion
PS Palar, LR Zuhal, K Shimoyama, T Tsuchiya
Reliability Engineering & System Safety 170, 175-190, 2018
822018
On efficient global optimization via universal Kriging surrogate models
PS Palar, K Shimoyama
Structural and Multidisciplinary Optimization 57 (6), 2377–2397, 2018
562018
A comparative study of multi-objective expected improvement for aerodynamic design
LR Zuhal, PS Palar, K Shimoyama
Aerospace Science and Technology 91, 548-560, 2019
542019
On the use of surrogate models in engineering design optimization and exploration: The key issues
PS Palar, RP Liem, LR Zuhal, K Shimoyama
Proceedings of the genetic and evolutionary computation conference companion …, 2019
442019
Gaussian process surrogate model with composite kernel learning for engineering design
P Satria Palar, L Rizki Zuhal, K Shimoyama
AIAA journal 58 (4), 1864-1880, 2020
432020
Enhancing the explainability of regression-based polynomial chaos expansion by Shapley additive explanations
PS Palar, LR Zuhal, K Shimoyama
Reliability Engineering & System Safety 232, 109045, 2023
412023
A comparative study of local search within a surrogate-assisted multi-objective memetic algorithm framework for expensive problems
PS Palar, T Tsuchiya, GT Parks
Applied Soft Computing 43, 1-19, 2016
372016
A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization
K Yang, PS Palar, M Emmerich, K Shimoyama, T Bäck
Proceedings of the Genetic and Evolutionary Computation Conference, 656-663, 2019
302019
On dimensionality reduction via partial least squares for Kriging-based reliability analysis with active learning
LR Zuhal, GA Faza, PS Palar, RP Liem
Reliability Engineering & System Safety 215, 107848, 2021
292021
Efficient global optimization with ensemble and selection of kernel functions for engineering design
PS Palar, K Shimoyama
Structural and Multidisciplinary Optimization 59 (1), 93-116, 2019
292019
Multiobjective design optimization of stent geometry with wall deformation for triangular and rectangular struts
NK Putra, PS Palar, H Anzai, K Shimoyama, M Ohta
Medical & Biological Engineering & Computing 57, 15-26, 2019
292019
Multi-fidelity uncertainty analysis in CFD using hierarchical kriging
PS Palar, K Shimoyama
35th AIAA applied aerodynamics conference, 3261, 2017
292017
Benchmarking multi-objective Bayesian global optimization strategies for aerodynamic design
LR Zuhal, C Amalinadhi, YB Dwianto, PS Palar, K Shimoyama
2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2018
232018
Gaussian processes and support vector regression for uncertainty quantification in aerodynamics
PS Palar, K Zakaria, LR Zuhal, K Shimoyama, RP Liem
AIAA Scitech 2021 Forum, 0181, 2021
202021
On physics-informed deep learning for solving navier-stokes equations
C Amalinadhi, PS Palar, R Stevenson, L Zuhal
AIAA SCITECH 2022 Forum, 1436, 2022
192022
Decomposition-based evolutionary aerodynamic robust optimization with multi-fidelity point collocation non-intrusive polynomial chaos
PS Palar, T Tsuchiya, G Parks
17th AIAA Non-Deterministic Approaches Conference, 1377, 2015
182015
On kernel functions for bi-fidelity Gaussian process regressions
PS Palar, L Parussini, L Bregant, K Shimoyama, LR Zuhal
Structural and Multidisciplinary Optimization 66 (2), 37, 2023
172023
On the impact of covariance functions in multi-objective Bayesian optimization for engineering design
PS Palar, LR Zuhal, T Chugh, A Rahat
AIAA Scitech 2020 Forum, 1867, 2020
162020
Bayesian optimization of a low-boom supersonic wing planform
TMS Jim, GA Faza, PS Palar, K Shimoyama
AIAA journal 59 (11), 4514-4529, 2021
142021
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