P. S. Palar

发表

Single- and multi-objective optimization of a low-speed airfoil using genetic algorithm

Y. Rahmad, M. D. Robani, P. S. Palar, 2020 .

SIMP versus level set function as an implicit representation model for structural topology optimization

P. S. Palar, L. R. Zuhal, Nathan, 2020 .

Uncertainty Quantification and Sensitivity Analysis for In-plane Thermo-mechanical Properties of 3-D Textile Composites

P. S. Palar, B. K. Hadi, L. Zuhal, 2022, AIAA SCITECH 2022 Forum.

Comparative Study Between Different Strut’s Cross Section Shape on Minimizing Low Wall Shear Stress Along Stent Vicinity via Surrogate-Based Optimization

Pramudita Satria Palar, Koji Shimoyama, Makoto Ohta, 2017 .

A Multiobjective Surrogate-Assisted Optimisation and Exploration of Low-Boom Supersonic Transport Planforms

P. S. Palar, K. Shimoyama, T. M. Jim, 2022, Aerospace Science and Technology.

Maximizing the thrust performance of flexible caudal fin panels via experimental optimization

P. S. Palar, L. Zuhal, Y. B. Dwianto, 2022, Ocean Engineering.

Efficient global optimization with ensemble and selection of kernel functions for engineering design

P. S. Palar, K. Shimoyama, 2018, Structural and Multidisciplinary Optimization.

Enhancing the explainability of regression-based polynomial chaos expansion by Shapley additive explanations

P. S. Palar, K. Shimoyama, L. Zuhal, 2022, Reliab. Eng. Syst. Saf..

On efficient global optimization via universal Kriging surrogate models

P. S. Palar, K. Shimoyama, 2017, Structural and Multidisciplinary Optimization.

Flow Field around Asymmetric Flapping Flat Plate Optimized using Micro Genetic Algorithm

P. S. Palar, L. Zuhal, 2014 .

Multiobjective design optimization of stent geometry with wall deformation for triangular and rectangular struts

P. S. Palar, Narendra Kurnia Putra, K. Shimoyama, 2018, Medical & Biological Engineering & Computing.

On the use of metaheuristics in hyperparameters optimization of gaussian processes

Pramudita Satria Palar, Koji Shimoyama, Lavi Rizki Zuhal, 2019, GECCO.

On the use of surrogate models in engineering design optimization and exploration: the key issues

Pramudita Satria Palar, Koji Shimoyama, Rhea Patricia Liem, 2019, GECCO.

Decomposition-based Evolutionary Aerodynamic Robust Optimization with Multi-fidelity Point Collocation Non-intrusive Polynomial Chaos

Geoffrey T. Parks, Pramudita Satria Palar, Takeshi Tsuchiya, 2015 .

On dimensionality reduction via partial least squares for Kriging-based reliability analysis with active learning

Pramudita Satria Palar, Rhea Patricia Liem, Lavi Rizki Zuhal, 2021, Reliab. Eng. Syst. Saf..

Fast and Adaptive Reliability Analysis via Kriging and Partial Least Squares

Pramudita Satria Palar, Rhea Patricia Liem, Lavi Rizki Zuhal, 2020, AIAA Scitech 2021 Forum.

A comparative study of multi-objective expected improvement for aerodynamic design

Pramudita Satria Palar, Koji Shimoyama, Lavi Rizki Zuhal, 2019, Aerospace Science and Technology.

Benchmarking constrained surrogate-based optimization on low speed airfoil design problems

Akira Oyama, Pramudita Satria Palar, Rommel G. Regis, 2019, GECCO.

Efficient global optimization with ensemble and selection of kernel functions for engineering design

Pramudita Satria Palar, Koji Shimoyama, P. S. Palar, 2018, Structural and Multidisciplinary Optimization.

Ensemble of Kriging with Multiple Kernel Functions for Engineering Design Optimization

Pramudita Satria Palar, Koji Shimoyama, P. S. Palar, 2018, BIOMA.

On efficient global optimization via universal Kriging surrogate models

Pramudita Satria Palar, Koji Shimoyama, P. S. Palar, 2017, Structural and Multidisciplinary Optimization.

A comparative study of local search within a surrogate-assisted multi-objective memetic algorithm framework for expensive problems

Pramudita Satria Palar, Takeshi Tsuchiya, Geoffrey Thomas Parks, 2016, Appl. Soft Comput..

A Multi-objective Approach for Robust Structural Topology Optimization

Pramudita Satria Palar, Lavi Rizki Zuhal, P. S. Palar, 2020, AIAA Scitech 2021 Forum.

Multi-fidelity non-intrusive polynomial chaos based on regression

Geoffrey T. Parks, Pramudita Satria Palar, Takeshi Tsuchiya, 2016 .

On Physics-Informed Deep Learning for Solving Navier-Stokes Equations

P. S. Palar, L. Zuhal, Cahya Amalinadhi, 2022, AIAA SCITECH 2022 Forum.

Framework for Robust Optimization Combining Surrogate Model, Memetic Algorithm, and Uncertainty Quantification

Pramudita Satria Palar, Takeshi Tsuchiya, Yohanes Bimo Dwianto, 2016, ICSI.

Polynomial-chaos-kriging-assisted efficient global optimization

Pramudita Satria Palar, Koji Shimoyama, P. S. Palar, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

On multi-objective efficient global optimization via universal Kriging surrogate model

Pramudita Satria Palar, Koji Shimoyama, P. S. Palar, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Multiple Metamodels for Robustness Estimation in Multi-objective Robust Optimization

Pramudita Satria Palar, Koji Shimoyama, P. S. Palar, 2017, EMO.

Physics-Informed Proper Orthogonal Decomposition for Data Reconstruction

P. S. Palar, J. Morlier, L. Zuhal, 2023, AIAA SCITECH 2023 Forum.

Modeling Non-Stationarity with Deep Gaussian Processes: Applications in Aerospace Engineering

P. S. Palar, K. Shimoyama, L. Zuhal, 2022, AIAA SCITECH 2022 Forum.

On The Choice of Activation Functions in Physics-Informed Neural Network for Solving Incompressible Fluid Flows

P. S. Palar, L. Zuhal, D. V. Dung, 2023, AIAA SCITECH 2023 Forum.

Polynomial-Chaos–Kriging with Gradient Information for Surrogate Modeling in Aerodynamic Design

P. S. Palar, K. Shimoyama, R. Liem, 2021 .

Trading-off Data Fit and Complexity in Training Gaussian Processes with Multiple Kernels

Tinkle Chugh, P. S. Palar, A Rahat, 2019, LOD.

On the Impact of Covariance Functions in Multi-Objective Bayesian Optimization for Engineering Design

Pramudita Satria Palar, Tinkle Chugh, Lavi Rizki Zuhal, 2020 .

Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement

Thomas Bäck, Michael T. M. Emmerich, Pramudita Satria Palar, 2018, GECCO.

Benchmarking Multi-Objective Bayesian Global Optimization Strategies for Aerodynamic Design

Pramudita Satria Palar, Koji Shimoyama, Yohanes Bimo Dwianto, 2018 .

Gaussian Process Surrogate Model with Composite Kernel Learning for Engineering Design

Pramudita Satria Palar, Koji Shimoyama, Lavi Rizki Zuhal, 2020 .

Global sensitivity analysis via multi-fidelity polynomial chaos expansion

Pramudita Satria Palar, Takeshi Tsuchiya, Koji Shimoyama, 2017, Reliab. Eng. Syst. Saf..

On kernel functions for bi-fidelity Gaussian process regressions

P. S. Palar, K. Shimoyama, L. Zuhal, 2023, Structural and Multidisciplinary Optimization.

A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization

Thomas Bäck, Michael T. M. Emmerich, Pramudita Satria Palar, 2019, GECCO.

Composite Kernel Functions for Surrogate Modeling using Recursive Multi-Fidelity Kriging

P. S. Palar, K. Shimoyama, L. Zuhal, 2022, AIAA SCITECH 2022 Forum.

Uncertainty quantification methods for evolutionary optimization under uncertainty

Pramudita Satria Palar, Koji Shimoyama, Lavi Rizki Zuhal, 2020, GECCO Companion.

Multi-Fidelity Uncertainty Analysis in CFD Using Hierarchical Kriging

Pramudita Satria Palar, Koji Shimoyama, P. S. Palar, 2017 .

Heteroscedastic Gaussian Process Regression using Nearest Neighbor Point Estimates

Pramudita Satria Palar, Lavi Rizki Zuhal, P. S. Palar, 2021, AIAA Scitech 2021 Forum.

Gaussian Processes and Support Vector Regression for Uncertainty Quantification in Aerodynamics

Rhea P. Liem, Koji Shimoyama, Lavi Rizki Zuhal, 2020, AIAA Scitech 2021 Forum.

Gradient-Enhanced Universal Kriging with Polynomial Chaos as Trend Function

Pramudita Satria Palar, Koji Shimoyama, Rhea Patricia Liem, 2020 .

Kriging with Composite Kernel Learning for Surrogate Modeling in Computer Experiments

Pramudita Satria Palar, Koji Shimoyama, P. S. Palar, 2019, AIAA Scitech 2019 Forum.

Stent design optimization based on kriging surrogate model under deformed vessel wall: Pulsatile inlet flow

Pramudita Satria Palar, Koji Shimoyama, Makoto Ohta, 2017, 2017 5th International Conference on Instrumentation, Control, and Automation (ICA).

Gaussian Process Regression for Seismic Fragility Assessment: Application to Non-Engineered Residential Buildings in Indonesia

P. S. Palar, I. Imran, P. Sarli, 2022, Buildings.

Using Physics-Informed Neural Networks to Solve Inverse Heat Conduction Problems

P. S. Palar, L. Zuhal, P. Sambegoro, 2023, AIAA SCITECH 2023 Forum.

Design Exploration of Additively Manufactured Chiral Auxetic Structure Using Explainable Machine Learning

P. S. Palar, O. Jiroušek, J. Falta, 2023, Materials & Design.

Performance assessment of Kriging with partial least squares for high-dimensional uncertainty and sensitivity analysis

P. S. Palar, R. Liem, L. Zuhal, 2023, Structural and Multidisciplinary Optimization.

Shapley Additive Explanations for Knowledge Discovery via Surrogate Models

P. S. Palar, K. Shimoyama, J. Morlier, 2023, AIAA SCITECH 2023 Forum.

Global Sensitivity Analysis in Aerodynamic Design Using Shapley Effects and Polynomial Chaos Regression

P. S. Palar, L. Zuhal, K. Shimoyama, 2023, IEEE Access.

Bayesian Optimization of a Low-Boom Supersonic Wing Planform

Koji Shimoyama, Ghifari A. Faza, P. S. Palar, 2021, AIAA Journal.