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Meta-models for structural reliability and uncertainty quantification
International audience -
Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy
International audience -
Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on th...
International audience -
Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy t...
International audience -
Planification d'expériences séquentielle dans un contexte de méta-modélisatio...
Large computer codes are widely used in engineering to study physical systems. Nevertheless, simulations can sometimes be time-consuming. In this case, an... -
Recursive co-kriging model for Design of Computer experiments with multiple l...
In many practical cases, a sensitivity analysis or an optimization of a complex time consuming computer code requires to build a fast running approximation of it -... -
BI-population CMA-ES Algorithms with Surrogate Models and Line Searches
International audience -
Surrogate-Assisted Evolutionary Algorithms
Evolutionary Algorithms (EAs) have received a lot of attention regarding their potential to solve complex optimization problems using problem-specific variation...
