Pramudita Satria Palar

Orcid: 0000-0002-7066-0763

According to our database1, Pramudita Satria Palar authored at least 23 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Enhancing the explainability of regression-based polynomial chaos expansion by Shapley additive explanations.
Reliab. Eng. Syst. Saf., April, 2023

Global Sensitivity Analysis in Aerodynamic Design Using Shapley Effects and Polynomial Chaos Regression.
IEEE Access, 2023

2021
On dimensionality reduction via partial least squares for Kriging-based reliability analysis with active learning.
Reliab. Eng. Syst. Saf., 2021

2020
Uncertainty quantification methods for evolutionary optimization under uncertainty.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Bayesian methods for multi-objective optimization of a supersonic wing planform.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Multiobjective design optimization of stent geometry with wall deformation for triangular and rectangular struts.
Medical Biol. Eng. Comput., 2019

Trading-off Data Fit and Complexity in Training Gaussian Processes with Multiple Kernels.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

On the use of metaheuristics in hyperparameters optimization of gaussian processes.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

On the use of surrogate models in engineering design optimization and exploration: the key issues.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Benchmarking constrained surrogate-based optimization on low speed airfoil design problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Global sensitivity analysis via multi-fidelity polynomial chaos expansion.
Reliab. Eng. Syst. Saf., 2018

Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Ensemble of Kriging with Multiple Kernel Functions for Engineering Design Optimization.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2018

2017
Exploiting gradient for kriging-based multi-objective aerodynamic optimization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Polynomial-chaos-kriging-assisted efficient global optimization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Exploiting active subspaces in global optimization: how complex is your problem?
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Multiple Metamodels for Robustness Estimation in Multi-objective Robust Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

In search for a better stent: Surrogate based multi-objective optimization of stent design under influence of vessel wall deformation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

On multi-objective efficient global optimization via universal Kriging surrogate model.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
A comparative study of local search within a surrogate-assisted multi-objective memetic algorithm framework for expensive problems.
Appl. Soft Comput., 2016

Framework for Robust Optimization Combining Surrogate Model, Memetic Algorithm, and Uncertainty Quantification.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

2015
Comparison of scalarization functions within a local surrogate assisted multi-objective memetic algorithm framework for expensive problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015


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