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ORCIDPramudita Satria Palar
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Journal Articles
- 2023
[j6]Pramudita Satria Palar
, Lavi Rizki Zuhal, Koji Shimoyama:
Global Sensitivity Analysis in Aerodynamic Design Using Shapley Effects and Polynomial Chaos Regression. IEEE Access 11: 114825-114839 (2023)- [j5]Pramudita Satria Palar, Lavi Rizki Zuhal, Koji Shimoyama:
Enhancing the explainability of regression-based polynomial chaos expansion by Shapley additive explanations. Reliab. Eng. Syst. Saf. 232: 109045 (2023) - 2021
- [j4]Lavi Rizki Zuhal, Ghifari Adam Faza, Pramudita Satria Palar, Rhea Patricia Liem:
On dimensionality reduction via partial least squares for Kriging-based reliability analysis with active learning. Reliab. Eng. Syst. Saf. 215: 107848 (2021) - 2019
- [j3]Narendra Kurnia Putra, Pramudita Satria Palar, Hitomi Anzai, Koji Shimoyama, Makoto Ohta:
Multiobjective design optimization of stent geometry with wall deformation for triangular and rectangular struts. Medical Biol. Eng. Comput. 57(1): 15-26 (2019) - 2018
- [j2]Pramudita Satria Palar, Lavi Rizki Zuhal, Koji Shimoyama, Takeshi Tsuchiya:
Global sensitivity analysis via multi-fidelity polynomial chaos expansion. Reliab. Eng. Syst. Saf. 170: 175-190 (2018) - 2016
- [j1]Pramudita Satria Palar, Takeshi Tsuchiya, Geoffrey Thomas Parks:
A comparative study of local search within a surrogate-assisted multi-objective memetic algorithm framework for expensive problems. Appl. Soft Comput. 43: 1-19 (2016)
Conference and Workshop Papers
- 2020
- [c17]Pramudita Satria Palar, Koji Shimoyama, Lavi Rizki Zuhal:
Uncertainty quantification methods for evolutionary optimization under uncertainty. GECCO Companion 2020: 1614-1622 - [c16]Timothy Man Shui Jim, Ghifari Adam Faza, Pramudita Satria Palar, Koji Shimoyama:
Bayesian methods for multi-objective optimization of a supersonic wing planform. GECCO Companion 2020: 1641-1643 - 2019
- [c15]Pramudita Satria Palar, Lavi Rizki Zuhal, Koji Shimoyama:
On the use of metaheuristics in hyperparameters optimization of gaussian processes. GECCO (Companion) 2019: 263-264 - [c14]Kaifeng Yang, Pramudita Satria Palar, Michael Emmerich, Koji Shimoyama, Thomas Bäck:
A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization. GECCO 2019: 656-663 - [c13]Pramudita Satria Palar, Rhea Patricia Liem, Lavi Rizki Zuhal, Koji Shimoyama:
On the use of surrogate models in engineering design optimization and exploration: the key issues. GECCO (Companion) 2019: 1592-1602 - [c12]Pramudita Satria Palar, Yohanes Bimo Dwianto, Rommel G. Regis, Akira Oyama, Lavi Rizki Zuhal:
Benchmarking constrained surrogate-based optimization on low speed airfoil design problems. GECCO (Companion) 2019: 1990-1998 - [c11]Tinkle Chugh, Alma A. M. Rahat, Pramudita Satria Palar:
Trading-off Data Fit and Complexity in Training Gaussian Processes with Multiple Kernels. LOD 2019: 579-591 - 2018
- [c10]Pramudita Satria Palar, Koji Shimoyama:
Ensemble of Kriging with Multiple Kernel Functions for Engineering Design Optimization. BIOMA 2018: 211-222 - [c9]Pramudita Satria Palar, Kaifeng Yang, Koji Shimoyama, Michael Emmerich, Thomas Bäck:
Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement. GECCO 2018: 1333-1340 - 2017
- [c8]Pramudita Satria Palar, Koji Shimoyama:
On multi-objective efficient global optimization via universal Kriging surrogate model. CEC 2017: 621-628 - [c7]Narendra Kurnia Putra, Pramudita Satria Palar, Hitomi Anzai, Koji Shimoyama, Makoto Ohta:
In search for a better stent: Surrogate based multi-objective optimization of stent design under influence of vessel wall deformation. EMBC 2017: 1344-1347 - [c6]Pramudita Satria Palar, Koji Shimoyama:
Multiple Metamodels for Robustness Estimation in Multi-objective Robust Optimization. EMO 2017: 469-483 - [c5]Pramudita Satria Palar, Koji Shimoyama:
Exploiting active subspaces in global optimization: how complex is your problem? GECCO (Companion) 2017: 1487-1494 - [c4]Pramudita Satria Palar, Koji Shimoyama:
Polynomial-chaos-kriging-assisted efficient global optimization. SSCI 2017: 1-8 - [c3]Pramudita Satria Palar, Koji Shimoyama:
Exploiting gradient for kriging-based multi-objective aerodynamic optimization. SSCI 2017: 1-8 - 2016
- [c2]Pramudita Satria Palar, Yohanes Bimo Dwianto, Lavi Rizki Zuhal, Takeshi Tsuchiya:
Framework for Robust Optimization Combining Surrogate Model, Memetic Algorithm, and Uncertainty Quantification. ICSI (1) 2016: 48-55 - 2015
- [c1]Pramudita Satria Palar, Takeshi Tsuchiya, Geoffrey T. Parks:
Comparison of scalarization functions within a local surrogate assisted multi-objective memetic algorithm framework for expensive problems. CEC 2015: 862-869
Informal and Other Publications
- 2017
- [i1]Pramudita Satria Palar, Koji Shimoyama:
Exploiting Active Subspaces in Global Optimization: How Complex is your Problem? CoRR abs/1707.02533 (2017)
Coauthor Index
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