Surrogate-based analysis and optimization NV Queipo, RT Haftka, W Shyy, T Goel, R Vaidyanathan, PK Tucker Progress in aerospace sciences 41 (1), 1-28, 2005 | 2836 | 2005 |
Ensemble of surrogates T Goel, RT Haftka, W Shyy, NV Queipo Structural and Multidisciplinary Optimization 33, 199-216, 2007 | 815 | 2007 |
Controlled elitist non-dominated sorting genetic algorithms for better convergence K Deb, T Goel International conference on evolutionary multi-criterion optimization, 67-81, 2001 | 652 | 2001 |
Response surface approximation of Pareto optimal front in multi-objective optimization T Goel, R Vaidyanathan, RT Haftka, W Shyy, NV Queipo, K Tucker Computer methods in applied mechanics and engineering 196 (4-6), 879-893, 2007 | 396 | 2007 |
Multiple surrogate modeling for axial compressor blade shape optimization A Samad, KY Kim, T Goel, RT Haftka, W Shyy Journal of Propulsion and Power 24 (2), 301-310, 2008 | 247 | 2008 |
A hybrid multi-objective evolutionary approach to engineering shape design K Deb, T Goel International conference on evolutionary multi-criterion optimization, 385-399, 2001 | 237 | 2001 |
Surrogate model-based optimization framework: a case study in aerospace design Y Mack, T Goel, W Shyy, R Haftka Evolutionary computation in dynamic and uncertain environments, 323-342, 2007 | 164 | 2007 |
LS-OPT user’s manual N Stander, W Roux, T Goel, T Eggleston, K Craig Livermore software technology corporation, 2008 | 161 | 2008 |
SURROGATES Toolbox User’s Guide, Version 3.0 FAC Viana Gainesville, FL, USA, 2011 | 147 | 2011 |
LS-OPT User’s Manual: A design optimization and probabilistic analysis tool for the engineering analyst N Stander, W Roux, T Eggleston, K Craig Livermore Software Technology Corporation, Livermore, 2007 | 130 | 2007 |
Comparing error estimation measures for polynomial and kriging approximation of noise-free functions T Goel, RT Hafkta, W Shyy Structural and Multidisciplinary Optimization 38, 429-442, 2009 | 107 | 2009 |
Multiple-surrogate approach to helicopter rotor blade vibration reduction B Glaz, T Goel, L Liu, PP Friedmann, RT Haftka AIAA journal 47 (1), 271-282, 2009 | 106 | 2009 |
Surrogate model‐based strategy for cryogenic cavitation model validation and sensitivity evaluation T Goel, S Thakur, RT Haftka, W Shyy, J Zhao International journal for numerical methods in fluids 58 (9), 969-1007, 2008 | 89 | 2008 |
Hydraulic turbine diffuser shape optimization by multiple surrogate model approximations of Pareto fronts B Daniel Marjavaara, T Staffan Lundström, T Goel, Y Mack, W Shyy | 88 | 2007 |
Improving the hydrodynamic performance of diffuser vanes via shape optimization T Goel, DJ Dorney, RT Haftka, W Shyy Computers & fluids 37 (6), 705-723, 2008 | 81 | 2008 |
Pitfalls of using a single criterion for selecting experimental designs T Goel, RT Haftka, W Shyy, LT Watson International Journal for Numerical Methods in Engineering 75 (2), 127-155, 2008 | 78 | 2008 |
Hybrid methods for multi-objective evolutionary algorithms T Goel, K Deb Proceedings of the Fourth Asia-Pacific Conference on Simulated Evolution and …, 2002 | 69 | 2002 |
Multi-objective evolutionary algorithms for engineering shape design R Sarker, M Mohammadian, X Yao, K Deb, T Goel Evolutionary optimization, 147-175, 2002 | 65 | 2002 |
Surrogate modeling: tricks that endured the test of time and some recent developments FAC Viana, C Gogu, T Goel Structural and Multidisciplinary Optimization 64 (5), 2881-2908, 2021 | 54 | 2021 |
Multiple surrogates for the shape optimization of bluff body-facilitated mixing Y Mack, T Goel, W Shyy, R Haftka, N Queipo 43rd AIAA aerospace sciences meeting and exhibit, 333, 2005 | 49 | 2005 |