A surrogate modeling and adaptive sampling toolbox for computer based design D Gorissen, I Couckuyt, P Demeester, T Dhaene, K Crombecq Journal of machine learning research.-Cambridge, Mass. 11, 2051-2055, 2010 | 666 | 2010 |
A novel hybrid sequential design strategy for global surrogate modeling of computer experiments K Crombecq, D Gorissen, D Deschrijver, T Dhaene SIAM Journal on Scientific Computing 33 (4), 1948-1974, 2011 | 230 | 2011 |
A novel sequential design strategy for global surrogate modeling K Crombecq, L De Tommasi, D Gorissen, T Dhaene Proceedings of the 2009 winter simulation conference (WSC), 731-742, 2009 | 167 | 2009 |
Blind Kriging: Implementation and performance analysis I Couckuyt, A Forrester, D Gorissen, F De Turck, T Dhaene Advances in Engineering Software 49, 1-13, 2012 | 152 | 2012 |
Evolutionary model type selection for global surrogate modeling D Gorissen, T Dhaene, F De Turck Journal of Machine Learning Research 10, 2039-2078, 2009 | 120 | 2009 |
Sequential modeling of a low noise amplifier with neural networks and active learning D Gorissen, L De Tommasi, K Crombecq, T Dhaene Neural Computing and Applications 18, 485-494, 2009 | 94 | 2009 |
Evolutionary neuro-space mapping technique for modeling of nonlinear microwave devices D Gorissen, L Zhang, QJ Zhang, T Dhaene IEEE Transactions on Microwave Theory and Techniques 59 (2), 213-229, 2010 | 84 | 2010 |
Multiobjective global surrogate modeling, dealing with the 5-percent problem D Gorissen, I Couckuyt, E Laermans, T Dhaene Engineering with Computers 26, 81-98, 2010 | 75 | 2010 |
Space-filling sequential design strategies for adaptive surrogate modelling K Crombecq, I Couckuyt, D Gorissen, T Dhaene The first international conference on soft computing technology in civil …, 2009 | 73 | 2009 |
Surrogate based sensitivity analysis of process equipment DW Stephens, D Gorissen, K Crombecq, T Dhaene Applied Mathematical Modelling 35 (4), 1676-1687, 2011 | 46 | 2011 |
Grid-enabled adaptive surrogate modeling for computer aided engineering D Gorissen Universiteit Antwerpen (Belgium), 2010 | 46 | 2010 |
Automatic surrogate model type selection during the optimization of expensive black-box problems I Couckuyt, F De Turck, T Dhaene, D Gorissen Proceedings of the 2011 Winter Simulation Conference (WSC), 4269-4279, 2011 | 37 | 2011 |
Automatic model type selection with heterogeneous evolution: An application to rf circuit block modeling D Gorissen, L De Tommasi, J Croon, T Dhaene 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008 | 32 | 2008 |
Adaptive distributed metamodeling D Gorissen, K Crombecq, W Hendrickx, T Dhaene High Performance Computing for Computational Science-VECPAR 2006: 7th …, 2007 | 31 | 2007 |
Rf circuit block modeling via kriging surrogates D Gorissen, L De Tommasi, W Hendrickx, J Croon, T Dhaene MIKON 2008-17th International Conference on Microwaves, Radar and Wireless …, 2008 | 29 | 2008 |
An alternative approach to avoid overfitting for surrogate models HM Nguyen, I Couckuyt, L Knockaert, T Dhaene, D Gorissen, Y Saeys Proceedings of the 2011 winter simulation conference (WSC), 2760-2771, 2011 | 25 | 2011 |
Heterogeneous evolution of surrogate models D Gorissen Master's Thesis, Katholieke Universiteit Leuven, 2007 | 25 | 2007 |
Grid enabled sequential design and adaptive metamodeling W Hendrickx, D Gorissen, T Dhaene Proceedings of the 2006 Winter Simulation Conference, 872-881, 2006 | 22 | 2006 |
Automatic approximation of expensive functions with active learning D Gorissen, K Crombecq, I Couckuyt, T Dhaene Foundations of Computational, Intelligence Volume 1: Learning and …, 2009 | 21 | 2009 |
Value-based decision environment: vision and application D Gorissen, E Quaranta, M Ferraro, B Schumann, J Schaik, MBI Gisbert, ... Journal of Aircraft 51 (5), 1360-1372, 2014 | 19 | 2014 |