Multifidelity Optimization using Statistical Surrogate Modeling for Non-Hierarchical Information Sources
Designing and optimizing complex systems often requires numerous evaluations of a quantity of interest. This is typically achieved by querying potentially expensive numerical models in an optimization process. To alleviate the cost of optimization, surrogate models can be used in lieu of the origina...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
American Institute of Aeronautics and Astronautics
2018
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| Online Access: | http://hdl.handle.net/1721.1/115996 https://orcid.org/0000-0003-4222-5358 https://orcid.org/0000-0003-2156-9338 |