Non-myopic multipoint multifidelity Bayesian framework for multidisciplinary design
Abstract The adoption of high-fidelity models in multidisciplinary design optimization (MDO) permits to enhance the identification of superior design configurations, but would prohibitively rise the demand for computational resources and time. Multifidelity Bayesian Optimization (MFBO) efficiently c...
Main Authors: | Francesco Di Fiore, Laura Mainini |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-12-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-48757-3 |
Similar Items
-
Multifidelity approximate Bayesian computation
by: Prescott, T, et al.
Published: (2020) -
Multifidelity Uncertainty Propagation in Coupled Multidisciplinary Systems
by: Chaudhuri, Anirban, et al.
Published: (2017) -
Multifidelity Sensitivity Study of Subsonic Wing Flutter for Hybrid Approaches in Aircraft Multidisciplinary Design and Optimisation
by: Marco Berci, et al.
Published: (2020-11-01) -
Multifidelity DDDAS Methods with Application to a Self-aware Aerospace Vehicle
by: Allaire, D., et al.
Published: (2018) -
Scaling Bayesian optimization for engineering design : lookahead approaches and multifidelity dimension reduction
by: Lam, Remi Roger Alain Paul
Published: (2018)