| Concurrent subspace optimization using design variable sharing in a distributed computing environment BA Wujek, JE Renaud, SM Batill, JB Brockman Concurrent Engineering 4 (4), 361-377, 1996 | 162 | 1996 |
| New adaptive move-limit management strategy for approximate optimization, part 1 BA Wujek, JE Renaud AIAA journal 36 (10), 1911-1921, 1998 | 114 | 1998 |
| Trust region model management in multidisciplinary design optimization JF Rodrı́guez, JE Renaud, BA Wujek, RV Tappeta Journal of Computational and Applied Mathematics 124 (1-2), 139-154, 2000 | 111 | 2000 |
| Trust region model management in multidisciplinary design optimization JF RODRIGUEZ MATAS, JE Renaud, BA Wujek, RV Tappeta | 111 | 2000 |
| Distributed hyperparameter tuning system for machine learning PN Koch, BA Wujek, OB Golovidov, SJ Gardner, JD Griffin, SR Pope, Y Xu US Patent 10,360,517, 2019 | 95 | 2019 |
| Autotune: a derivative-free optimization framework for hyperparameter tuning P Koch, O Golovidov, S Gardner, B Wujek, J Griffin, Y Xu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 92 | 2018 |
| Facilitating probabilistic multidisciplinary design optimization using kriging approximation models PN Koch, B Wujek, O Golovidov, TW Simpson AIAA paper 5415, 2002 | 82 | 2002 |
| A multi-stage, parallel implementation of probabilistic design optimization in an MDO framework P Koch, B Wujek, O Golovidov 8th Symposium on Multidisciplinary Analysis and Optimization, 4805, 2000 | 78 | 2000 |
| A concurrent engineering approach for multidisciplinary design in a distributed computing environment BA Wujek, JE Renaud, SM Batill Multidisciplinary design optimization- State of the art, 189-208, 1997 | 74 | 1997 |
| New adaptive move-limit management strategy for approximate optimization, part 2 BA Wujek, JE Renaud AIAA journal 36 (10), 1922-1934, 1998 | 63 | 1998 |
| Best Practices for Machine Learning Applications B Wujek, P Hall, F Güneș SAS Institute Inc, 2016 | 49 | 2016 |
| Automated hyperparameter tuning for effective machine learning P Koch, B Wujek, O Golovidov, S Gardner Proceedings of the SAS Global Forum 2017 Conference, 1-23, 2017 | 48 | 2017 |
| Design of experiments based response surface models for design optimization S Kodiyalam, J Lin, B Wujek 39th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 1998 | 34 | 1998 |
| Design flow management and multidisciplinary design optimization in application to aircraft concept sizing B Wujek, J Renaud, S Batill, E Johnson, J Brockman 34th Aerospace Sciences Meeting and Exhibit, 713, 1996 | 28 | 1996 |
| A distributed, component-based integration environment for multidisciplinary optimal and quality design B Wujek, P Koch, M McMillan, WS Chiang 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, 5476, 2002 | 23 | 2002 |
| Automation enhancements in multidisciplinary design optimization. BA Wujek | 18 | 1998 |
| Constrained Multi-Objective Optimization for Automated Machine Learning S Gardner, O Golovidov, J Griffin, P Koch, W Thompson, B Wujek, Y Xu 2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019 | 14 | 2019 |
| A workflow paradigm for flexible design process configuration in FIPER B Wujek, P Koch, WS Chiang 8th Symposium on Multidisciplinary Analysis and Optimization, 4868, 2000 | 14 | 2000 |
| Design driven concurrent optimization in system design problems using second order sensitivities BA Wujek, JE Renaud, JB Brockman AIAA/NASA/USAF/ISSMO 5th Symp. Multidisciplinary Analysis and Optimization, 1994 | 13 | 1994 |
| Facilitating probabilistic multidisciplinary design optimization using kriging approximation models, 9th AIAA PN Koch, B Wujek, O Golovidov, TW Simpson ISSMO Symposium on Multidisciplinary Analysis and Optimization, Atlanta, GA, 2002 | 11 | 2002 |
