Dimension Reduction for Aerodynamic Design Optimization

By Asha Viswanath, Alexander I. J. Forrester, Andy J. Keane. 2011

59 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c32137e8696e9ee88b3d1393ea6ab754e025ab2a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Joaquim R. Martins
2. Ji-chao Li
3. Xiaosong Du
4. Gaetan K. W. Kenway

In Computational Theory and Mathematics

1. Joaquim R. Martins
2. Ji-chao Li
3. Xiaosong Du
4. Gaetan K. W. Kenway
5. Andrew B. Lambe
6. Martin P. Bendsøe

In Statistics and Probability

1. Ji-chao Li
2. Joaquim R. Martins
3. Xiaosong Du
4. Gaetan K. W. Kenway
5. Martin P. Bendsøe

Citations in the corpus

• Machine Learning in Aerodynamic Shape Optimization (2022, methodology): “[311] introduced GTM in surrogate-based optimization of airfoil and wing shapes [312].”