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11/30/2022
Learning non-stationary and discontinuous functions using clustering, classification and Gaussian process modelling
Surrogate models have shown to be an extremely efficient aid in solving ...
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03/03/2022
Multi-objective robust optimization using adaptive surrogate models for problems with mixed continuous-categorical parameters
Explicitly accounting for uncertainties is paramount to the safety of en...
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06/03/2021
A generalized framework for active learning reliability: survey and benchmark
Active learning methods have recently surged in the literature due to th...
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07/08/2020
A two-level Kriging-based approach with active learning for solving time-variant risk optimization problems
Several methods have been proposed in the literature to solve reliabilit...
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01/10/2019