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Analytical Benchmark Problems for Multifidelity Optimization Methods., , , , , , , , , and 4 other author(s). CoRR, (2022)Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch., , , , , , , and . MOD, volume 10710 of Lecture Notes in Computer Science, page 198-209. Springer, (2017)Multi-fidelity Adaptive global metamodel of expensive computer simulations., , , , and . CEC, page 4444-4451. IEEE, (2016)Formulation and parameter selection of multi-objective deterministic particle swarm for simulation-based optimization., , , , , and . Appl. Soft Comput., (2017)A multi-objective DIRECT algorithm for ship hull optimization., , , , , , , and . Comput. Optim. Appl., 71 (1): 53-72 (2018)Democratizing Uncertainty Quantification., , , , , , , , , and 13 other author(s). CoRR, (2024)Uncertainty Quantification of Ship Resistance via Multi-Index Stochastic Collocation and Radial Basis Function Surrogates: A Comparison., , , , , and . CoRR, (2020)A multi-fidelity active learning method for global design optimization problems with noisy evaluations., , , , , and . Eng. Comput., 39 (5): 3183-3206 (October 2023)Comparing Multi-Index Stochastic Collocation and Multi-Fidelity Stochastic Radial Basis Functions for Forward Uncertainty Quantification of Ship Resistance., , , , , and . CoRR, (2021)Comparing multi-index stochastic collocation and multi-fidelity stochastic radial basis functions for forward uncertainty quantification of ship resistance., , , , , and . Eng. Comput., 39 (3): 2209-2237 (2023)