vbaudoui's metamodel [109 articles] Export

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	Efficient structural computations with parameters uncertainty for composite applications [My Copy] Composites Science and Technology, Vol. 69, No. 9. (July 2009), pp. 1328-1333. by N. Carrere, Y. Rollet, F. H. Leroy, J. F. Maire posted to uncertainty robust polynomial monte_carlo metamodel mean-variance kriging by vbaudoui on 2009-11-06 13:14:10 as
	Calculations of Sobol indices for the Gaussian process metamodel [My Copy] Reliability Engineering & System Safety, Vol. 94, No. 3. (March 2009), pp. 742-751. by A. Marrel, B. Iooss, B. Laurent, O. Roustant posted to uncertainty sensitivity_analysis metamodel kriging analytic by vbaudoui on 2009-10-22 09:45:52 as along with 1 person nurban
	Finding Robust Solutions To Multi-Objective Optimisation [My Copy] by Problems U. Polynomial, A. Molina-cristobal, G. T. Parks, P. J. Clarkson posted to uncertainty robust polynomial_chaos pareto_front optimization multiobjective metamodel mean-variance analytic by vbaudoui on 2009-10-20 13:20:16 as
	Improving multi-objective genetic algorithms with adaptive design of experiments and online metamodeling [My Copy] Structural and Multidisciplinary Optimization, Vol. 37, No. 5. (1 February 2009), pp. 447-461. by G. Li, M. Li, S. Azarm, S. Al Hashimi, T. Al Ameri, N. Al Qasas posted to uncertainty pareto_front optimization multiobjective metamodel kriging incremental evolutionary_algorithm design_of_experiments by vbaudoui on 2009-10-20 07:44:57 as
	On the convergence of the expected improvement algorithm [My Copy] (12 Feb 2008) by Emmanuel Vazquez, Julien Bect posted to metamodel improvement_criterion convergence by vbaudoui on 2009-10-09 09:59:52 as
	Computer experiments and global optimization [My Copy] (1997) by Matthias Schonlau posted to metamodel incremental improvement_criterion design_of_experiments constraint by vbaudoui on 2009-10-09 08:19:38 as
	Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach [My Copy] Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 66, No. 3. (2004), pp. 751-769. by Jeremy E. Oakley, Anthony O'Hagan posted to variance uncertainty metamodel mean-variance kriging analytic by vbaudoui on 2009-10-08 15:54:48 as
	Approximate methods for propagation of uncertainty with gaussian process models. Doctoral dissertation [My Copy] (2004) by Agathe Girard posted to robust optimization monte_carlo metamodel mean-variance kriging analytic by vbaudoui on 2009-10-07 17:08:22 as
	Hierarchy of methods to characterize uncertainty: state of science of methods for describing and quantifying uncertainty [My Copy] (8 December 2003) by Chris Frey, Doug Crawford-Brown, Zheng Junyu, Dan Loughlin posted to uncertainty sampling review quantile monte_carlo metamodel by vbaudoui on 2009-09-28 14:17:29 as
	Stochastic design optimization: Application to reacting flows [My Copy] Computer Methods in Applied Mechanics and Engineering, Vol. 196, No. 49-52. (01 November 2007), pp. 5047-5062. by D. Lucor, C. Enaux, H. Jourdren, P. Sagaut posted to uncertainty stochastic_response_model sampling polynomial_chaos optimization metamodel by vbaudoui on 2009-09-28 10:11:46 as
	Validation of regression metamodels in simulation: Bootstrap approach [My Copy] European Journal of Operational Research, Vol. 170, No. 1. (01 April 2006), pp. 120-131. by J. Kleijnen, D. Deflandre posted to metamodel regression bootstrap by vbaudoui on 2009-09-25 08:35:00 as along with 1 person pbellec
	Apport des méthodes probabilistes dans la simulation du comportement sous irradiation du combustible à particules [My Copy] (21 September 2007) by Claire Cannaméla posted to metamodel sampling quantile monte_carlo by vbaudoui on 2009-09-23 12:23:29 as
	Design under Uncertainties of Wings in Transonic Field [My Copy] JSME International Journal Series B Fluids and Thermal Engineering, Vol. 48, No. 2. (2005), pp. 218-223. by Lucia Parussini, Valentino Pediroda, Shigeru Obayashi posted to metamodel robust optimization mean-variance evolutionary_algorithm by vbaudoui on 2009-09-22 15:31:03 as
	Modeling uncertainty in flow simulations via generalized polynomial chaos [My Copy] Journal of Computational Physics, Vol. 187, No. 1. (01 May 2003), pp. 137-167. by D. Xiu posted to metamodel uncertainty polynomial_chaos by vbaudoui on 2009-09-09 15:43:07 as along with 1 person quaranta
	The BOBYQA algorithm for bound constrained optimization without derivatives [My Copy] (August 2009) by M. J. D. Powell posted to metamodel trust_region polynomial optimization interpolation by vbaudoui on 2009-08-24 08:52:23 as
	Adaptive Designs of Experiments for Accurate Approximation of Target Regions [My Copy] (July 2008) by Victor Picheny, David Ginsbourger, Olivier Roustant, Raphael T. Haftka, Nam-Ho Kim posted to metamodel adaptative_modeling design_of_experiments improvement_criterion incremental kriging latin_hypercube by vbaudoui on 2009-06-16 09:10:50 as
	Universal approximation bounds for superpositions of a sigmoidal function [My Copy] Information Theory, IEEE Transactions on In Information Theory, IEEE Transactions on, Vol. 39, No. 3. (1993), pp. 930-945. by A. R. Barron posted to metamodel neural_network by vbaudoui on 2009-06-10 12:21:36 as
	Model-robust designs for assessing the uncertainty of simulator outputs with linear meta-models [My Copy] (2007) by B. Gauthier, O. Roustant, L. Carraro posted to metamodel adaptative_modeling design_of_experiments improvement_criterion incremental linear optimization robust sampling uncertainty by vbaudoui on 2009-06-04 13:44:00 as
	Minimisation de quantiles – application en mécanique [My Copy] In 9e colloque national en calcul des structures (25-29 May 2009) by G. Pujol, R. Le Riche, X. Bay, O. Roustant posted to metamodel kriging optimization quantile robust by vbaudoui on 2009-06-04 09:22:58 as
	Recent advances in surrogate-based optimization [My Copy] Progress in Aerospace Sciences (10 January 2009) by A. Forrester, A. Keane posted to metamodel improvement_criterion interpolation kriging multiobjective multivariate_polynomial neural_network optimization radial_basis_function_network regression review support_vector_machines by vbaudoui on 2009-06-02 08:26:28 as along with 1 person quaranta
	Ensemble of metamodels with optimized weight factors [My Copy] Structural and Multidisciplinary Optimization, Vol. 37, No. 3. (1 January 2009), pp. 279-294. by E. Acar, M. Rais-Rohani posted to metamodel kriging radial_basis_function_network support_vector_machines by vbaudoui on 2009-05-19 11:30:41 as
	Toward an optimal ensemble of kernel-based approximations with engineering applications [My Copy] Structural and Multidisciplinary Optimization, Vol. 36, No. 3. (1 September 2008), pp. 247-261. by Egar Sanchez, Salvador Pintos, Nestor Queipo posted to metamodel multivariate_polynomial radial_basis_function_network regression spline by vbaudoui on 2009-05-19 11:27:24 as
	Aerodynamic Shape Optimization with Uncertain Operating Conditions using Metamodels [My Copy] (March 2007) by Régis Duvigneau posted to metamodel expensive mean-variance optimization probabilistic radial_basis_function_network regression robust variance by vbaudoui on 2009-04-30 12:37:36 as
	Sequential Design of Computer Experiments for Robust Parameter Design [My Copy] (2002) by Jeffrey S. Lehman posted to metamodel analytic kriging mean-variance optimization robust by vbaudoui on 2009-04-07 10:12:02 as
	Sequential design of computer experiments to minimize integrated response functions [My Copy] (2000) by Brian J. Williams posted to metamodel analytic kriging mean-variance optimization by vbaudoui on 2009-04-07 09:04:14 as
	Enhancements of metamodeling techniques in engineering design [My Copy] (2004) by Ruichen Jin posted to uncertainty spline sensitivity_analysis robust radial_basis_function_network optimization metamodel latin_hypercube kriging evolutionary_algorithm design_of_experiments analytic by vbaudoui on 2009-03-27 12:54:39 as
	Comparative studies of metamodeling techniques under multiple modeling criteria [My Copy] Structural and Multidisciplinary Optimization, Vol. 23 (2001), pp. 1-13. by Ruichen Jin, Wei Chen posted to metamodel kriging multivariate_polynomial radial_basis_function_network review by vbaudoui on 2009-03-27 12:28:08 as
	Analytical metamodel-based global sensitivity analysis and uncertainty propagation for robust design [My Copy] Journal of Quality Technology (October 2006), 333. by Wei Chen, Ruichen Jin, Agus Sudjianto posted to uncertainty sensitivity_analysis robust probabilistic optimization metamodel analytic by vbaudoui on 2009-03-27 11:58:19 as
	Fuzzy clustering based hierarchical metamodeling for design space reduction and optimization [My Copy] Engineering Optimization (June 2004), pp. 313-335. by G. G. Wang, T. Simpson posted to metamodel clustering design_of_experiments fuzzy incremental kriging optimization by vbaudoui on 2009-03-26 16:43:39 as
	An Efficient Robust Concept Exploration Method and Sequential Exploratory Experimental Design [My Copy] (July 2004) by Yao Lin posted to metamodel clustering design_of_experiments incremental kriging optimization robust by vbaudoui on 2009-03-26 09:19:53 as
	Review of Metamodeling Techniques in Support of Engineering Design Optimization [My Copy] Journal of Mechanical Design, Vol. 129, No. 4. (2007), pp. 370-380. by Gary G. Wang, S. Shan posted to metamodel design_of_experiments optimization review by vbaudoui on 2009-03-26 08:44:43 as along with 1 person ddahlem
	Response surface approximation of Pareto optimal front in multi-objective optimization [My Copy] Computer Methods in Applied Mechanics and Engineering, Vol. 196, No. 4-6. (01 January 2007), pp. 879-893. by T. Goel, R. Vaidyanathan, R. Haftka, W. Shyy, N. Queipo, K. Tucker posted to metamodel clustering multiobjective optimization pareto_front by vbaudoui on 2009-03-24 12:14:53 as
	Designing computer experiments to determine robust control variables [My Copy] Statistica Sinica (2004) by Jeffrey S. Lehman, Thomas J. Santner, William I. Notz posted to robust probabilistic optimization metamodel incremental improvement_criterion design_of_experiments analytic by vbaudoui on 2009-03-17 14:13:49 as
	An informational approach to the global optimization of expensive-to-evaluate functions [My Copy] Journal of Global Optimization (26 September 2008) by Julien Villemonteix, Emmanuel Vazquez, Eric Walter posted to metamodel design_of_experiments global incremental optimization by vbaudoui on 2009-03-17 13:57:25 as
	On the convergence of the expected improvement algorithm [My Copy] (12 Feb 2008) by Emmanuel Vazquez, Julien Bect posted to metamodel convergence design_of_experiments incremental by vbaudoui on 2009-03-17 13:16:08 as
	Optimisation de fonctions coûteuses Modèles gaussiens pour une utilisation efficace du budget d’évaluations : théorie et pratique industrielle [My Copy] (10 December 2008) by Julien Villemonteix posted to metamodel optimization robust by vbaudoui on 2009-03-17 13:05:12 as
	Efficient Global Optimization of Expensive Black-Box Functions [My Copy] Journal of Global Optimization, Vol. 13, No. 4. (1 December 1998), pp. 455-492. by Donald R. Jones, Matthias Schonlau, William J. Welch posted to metamodel adaptative_modeling black-box design_of_experiments global incremental latin_hypercube optimization by vbaudoui on 2009-03-17 11:48:15 as along with 5 people and 3 groups renreff Gorzomagnificent kutabar ima nojhan EvolutionaryComputation Metaheuristics Optimization
	A Monte Carlo Method for Reliability-Based Design Optimization [My Copy] (2006) by Jay D. Martin, Timothy W. Simpson posted to metamodel design_of_experiments kriging optimization reliability-based_optimization sampling by vbaudoui on 2009-02-26 17:30:26 as
	Chapter 8 Constraint-Based Neural Network Learning for Time Series Predictions [My Copy] by Benjamin W. Wah, Minglun Qian posted to metamodel constraint neural_network by vbaudoui on 2009-02-26 14:11:30 as
	Robust Optimization in Simulation: Taguchi and Response Surface Methodology [My Copy] (July 2008) by Gabriella Dellino, Jack P. C. Kleijnen, Carlo Meloni posted to metamodel bootstrap design_of_experiments optimization robust by vbaudoui on 2009-02-20 15:24:26 as
	Propagation of variance using a new approximation in system design of integrated circuits [My Copy] Aerospace and Electronics Conference, 1998. NAECON 1998. Proceedings of the IEEE 1998 National In Aerospace and Electronics Conference, 1998. NAECON 1998. Proceedings of the IEEE 1998 National (1998), pp. 242-246. by Junzhao Lei, P. Lima-Filho, M. A. Styblinski, C. Singh posted to metamodel uncertainty variance by vbaudoui on 2009-02-12 13:21:00 as
	Exploration of Metamodeling Sampling Criteria for Constrained Global Optimization [My Copy] Engineering Optimization (January 2002), pp. 263-278. by P. Papalambros, P. Goovaerts, M. J. Sasena posted to metamodel kriging optimization sampling by vbaudoui on 2009-02-09 14:43:20 as
	Update strategies for kriging models used in variable fidelity optimization [My Copy] Structural and Multidisciplinary Optimization, Vol. 32, No. 4. (1 October 2006), pp. 287-298. by Shawn Gano, John Renaud, Jay Martin, Timothy Simpson posted to metamodel kriging optimization by vbaudoui on 2009-02-09 13:01:44 as along with 2 people ansteltucson ddahlem
	Efficient Response Surface Modeling by Using Moving Least-Squares Method and Sensitivity [My Copy] AIAA Journal, Vol. 43, No. 11. (November 2005) by Chwail Kim, Semyung Wang, Kyung K. Choi posted to metamodel moving_least_squares_method sensitivity_analysis by vbaudoui on 2009-02-09 07:53:20 as
	The Approximation Power of Moving Least-Squares [My Copy] Mathematics of Computation, Vol. 67 (1998), pp. 1517-1531. by David Levin posted to metamodel moving_least_squares_method by vbaudoui on 2009-02-03 16:01:33 as
	Soft computing in engineering design - A review [My Copy] Advanced Engineering Informatics, Vol. In Press, Corrected Proof by K. M. Saridakis, A. J. Dentsoras posted to metamodel evolutionary_algorithm fuzzy neural_network by vbaudoui on 2009-02-03 15:42:00 as along with 3 people troussier whutabarat nklee
	Metamodeling by symbolic regression and Pareto simulated annealing [My Copy] Structural and Multidisciplinary Optimization, Vol. 35, No. 4. (April 2008), pp. 315-326. by Stinstra, Erwin, Rennen, Gijs, Teeuwen, Geert posted to metamodel simulated_annealing symbolic_regression by vbaudoui on 2009-02-03 15:16:09 as
	Blind Kriging: A New Method for Developing Metamodels [My Copy] Journal of Mechanical Design, Vol. 130, No. 3. (2008) by Roshan V. Joseph, Ying Hung, Agus Sudjianto posted to metamodel kriging by vbaudoui on 2009-02-03 14:55:07 as
	A metamodel optimization methodology based on multi-level fuzzy clustering space reduction strategy and its applications [My Copy] Computers & Industrial Engineering, Vol. 55, No. 2. (September 2008), pp. 503-532. by W. Hu, L. Enying, G. Li, Z. Zhong posted to metamodel clustering fuzzy optimization by vbaudoui on 2009-02-03 14:50:51 as
	Understanding the Effects of Model Uncertainty in Robust Design With Computer Experiments [My Copy] Journal of Mechanical Design, Vol. 128, No. 4. (2006), pp. 945-958. by Daniel W. Apley, Jun Liu, Wei Chen posted to metamodel design_of_experiments robust uncertainty by vbaudoui on 2009-02-03 13:22:29 as

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optimization	173
metamodel	109
robust	102
multiobjective	67
kriging	41
evolutionary_algorithm	39
review	30
design_of_experiments	29
uncertainty	27
neural_network	18
regression	17
latin_hypercube	15
constraint	13
radial_basis_function_network	11
incremental	11
mean-variance	11
sampling	11
quantile	10
analytic	9
global	9
support_vector_machines	9
fuzzy	9
probabilistic	8
spline	8
clustering	7
monte_carlo	7
reliability-based_optimization	6
test_problem	6
adaptative_modeling	6
pareto_front	6
improvement_criterion	6
variance	5
sensitivity_analysis	5
expensive	5
simulated_annealing	4
multivariate_polynomial	4
orthogonal_array	4
interpolation	4
bootstrap	4
polynomial_chaos	3
moving_least_squares_method	3
symbolic_regression	3
tabu_search	2
polynomial	2
linear	2
interval_analysis	2
trust_region	2
supervised_learning	2
metric	2
convergence	2
multidisciplinary	2
hypervolume	1
stochastic_response_model	1
noisy_optimization	1
mixture_of_experts	1
kreisselmeier_steinhsauser_function	1
regret	1
leveraging	1
simplex	1
discrete	1
statistics	1
theory	1
pilot_points	1
space_reduction	1
boosting	1
gradient	1
black-box	1
adaptive_weighted_sum	1
local	1
taylor_polynomial	1
particle_swarm	1

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