Lavi Rizki Zuhal

According to our database1, Lavi Rizki Zuhal authored at least 12 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Total Lagrangian smoothed particle hydrodynamics with an improved bond-based deformation gradient for large strain solid dynamics.
J. Comput. Phys., 2024

Point collocation with mollified piecewise polynomial approximants for high-order partial differential equations.
CoRR, 2024

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

Unsteady Vortex Dynamics of Two-Dimensional Pitching Flat Plate Using Lagrangian Vortex Method.
Proceedings of the ISEEIE 2021: International Symposium on Electrical, Electronics and Information Engineering, Seoul Republic of Korea, February 19, 2021

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

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

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


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