| Optimization of laminate stacking sequence for buckling load maximization by genetic algorithm R LE RICHE, RT HAFTKA AIAA journal 31 (5), 1993 | 804 | 1993 |
| Kriging is well-suited to parallelize optimization D Ginsbourger, R Le Riche, L Carraro Computational intelligence in expensive optimization problems, 131-162, 2010 | 551 | 2010 |
| Evolutionary algorithms for constrained engineering problems Z Michalewicz, D Dasgupta, RG Le Riche, M Schoenauer Computers & Industrial Engineering 30 (4), 851-870, 1996 | 492 | 1996 |
| Globalized Nelder–Mead method for engineering optimization MA Luersen, R Le Riche Computers & structures 82 (23-26), 2251-2260, 2004 | 408 | 2004 |
| Improved genetic algorithm for minimum thickness composite laminate design R Le Riche, RT Haftka Composites Engineering 5 (2), 143-161, 1995 | 249 | 1995 |
| Optimal design of laminated composite structures with ply drops using stacking sequence tables FX Irisarri, A Lasseigne, FH Leroy, R Le Riche Composite Structures 107, 559-569, 2014 | 227 | 2014 |
| A Segregated Genetic Algorithm for Constrained Structural Optimization. R Le Riche, C Knopf-Lenoir, RT Haftka ICGA, 558-565, 1995 | 207 | 1995 |
| A constrained, globalized, and bounded Nelder–Mead method for engineering optimization MA Luersen, R Le Riche, F Guyon Structural and Multidisciplinary Optimization 27, 43-54, 2004 | 165 | 2004 |
| Object Oriented Programming applied to the Finite Element Method - Part II : Application to Material Behavior J Besson, R LeRiche, R Foerch, G Cailletaud Revue européenne des éléments finis 7 (5), 567-588, 1998 | 164 | 1998 |
| Identification of the four orthotropic plate stiffnesses using a single open-hole tensile test J Molimard, R Le Riche, A Vautrin, JR Lee Experimental mechanics 45, 404-411, 2005 | 154 | 2005 |
| A multi-points criterion for deterministic parallel global optimization based on Gaussian processes D Ginsbourger, R Le Riche, L Carraro | 143 | 2008 |
| Simultaneous kriging-based estimation and optimization of mean response J Janusevskis, R Le Riche Journal of Global Optimization 55, 313-336, 2013 | 107 | 2013 |
| An overview of gradient-enhanced metamodels with applications L Laurent, R Le Riche, B Soulier, PA Boucard Archives of Computational Methods in Engineering 26 (1), 61-106, 2019 | 100 | 2019 |
| Towards Gaussian process-based optimization with finite time horizon D Ginsbourger, R Le Riche mODa 9–Advances in Model-Oriented Design and Analysis: Proceedings of the …, 2010 | 84 | 2010 |
| Dealing with asynchronicity in parallel Gaussian process based global optimization D Ginsbourger, J Janusevskis, R Le Riche Mines Saint-Etienne, 2011 | 82 | 2011 |
| Expected improvements for the asynchronous parallel global optimization of expensive functions: Potentials and challenges J Janusevskis, R Le Riche, D Ginsbourger, R Girdziusas International Conference on Learning and Intelligent Optimization, 413-418, 2012 | 80 | 2012 |
| Introduction to the Bayesian approach applied to elastic constants identification C Gogu, R Haftka, R Le Riche, J Molimard, A Vautrin AIAA journal 48 (5), 893-903, 2010 | 59 | 2010 |
| Bayesian identification of elastic constants in multi-directional laminate from moiré interferometry displacement fields C Gogu, W Yin, R Haftka, P Ifju, J Molimard, R Le Riche, A Vautrin Experimental Mechanics 53 (4), 635-648, 2013 | 58 | 2013 |
| Global sensitivity analysis for optimization with variable selection A Spagnol, R Le Riche, S Da Veiga SIAM/ASA Journal on Uncertainty Quantification, 2019 | 57 | 2019 |
| A multi-points criterion for deterministic parallel global optimization based on kriging D Ginsbourger, R Le Riche, L Carraro NCP07, 2007 | 56 | 2007 |
Raphael HaftkaUniversity of FloridaVerified email at ufl.edu
