Robust optimization: a kriging-based multi-objective optimization approach
暂无分享,去创建一个
Christophette Blanchet-Scalliet | Céline Helbert | Mélina Ribaud | Frederic Gillot | F. Gillot | C. Helbert | M. Ribaud | Christophette Blanchet-Scalliet
[1] Nicolas Gayton,et al. On the consideration of uncertainty in design: optimization - reliability - robustness , 2016, Structural and Multidisciplinary Optimization.
[2] Rae. Z.H. Aliyev,et al. Interpolation of Spatial Data , 2018, Biomedical Journal of Scientific & Technical Research.
[3] Qingfu Zhang,et al. On the Performance of Metamodel Assisted MOEA/D , 2007, ISICA.
[4] Simon Moritz Göhler,et al. Robustness Metrics: Consolidating the multiple approaches to quantify Robustness , 2016 .
[5] Christopher K. I. Williams,et al. Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) , 2005 .
[6] Daniel W. Apley,et al. Understanding the effects of model uncertainty in robust design with computer experiments , 2006, DAC 2006.
[7] Sonja Kuhnt,et al. Design and analysis of computer experiments , 2010 .
[8] Frederic Gillot,et al. Methodology for the Design of the Geometry of a Cavity and Its Absorption Coefficients as Random Design Variables Under Vibroacoustic Criteria , 2016 .
[9] Rodolphe Le Riche,et al. Simultaneous kriging-based estimation and optimization of mean response , 2013, J. Glob. Optim..
[10] Shigeru Obayashi,et al. Efficient global optimization (EGO) for multi-objective problem and data mining , 2005, 2005 IEEE Congress on Evolutionary Computation.
[11] Julien Marzat,et al. Worst-case global optimization of black-box functions through Kriging and relaxation , 2012, Journal of Global Optimization.
[12] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[13] Michael T. M. Emmerich,et al. Hypervolume-based expected improvement: Monotonicity properties and exact computation , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).
[14] Thomas J. Santner,et al. Multiobjective optimization of expensive-to-evaluate deterministic computer simulator models , 2016, Comput. Stat. Data Anal..
[15] M. Binois. Uncertainty quantification on pareto fronts and high-dimensional strategies in bayesian optimization, with applications in multi-objective automotive design , 2015 .
[16] Céline Helbert,et al. DiceDesign and DiceEval: Two R Packages for Design and Analysis of Computer Experiments , 2015 .
[17] Joachim Kunert,et al. An Efficient Sequential Optimization Approach Based on the Multivariate Expected Improvement Criterion , 2007 .
[18] Cécile Murat,et al. Recent advances in robust optimization: An overview , 2014, Eur. J. Oper. Res..
[19] Luc Pronzato,et al. Robust design with nonparametric models: prediction of second-order characteristics of process variability by kriging 1 , 2003 .
[20] Carlos A. Coello Coello,et al. A Study of the Parallelization of a Coevolutionary Multi-objective Evolutionary Algorithm , 2004, MICAI.
[21] Wolfgang Ponweiser,et al. On Expected-Improvement Criteria for Model-based Multi-objective Optimization , 2010, PPSN.
[22] Lothar Thiele,et al. Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..
[23] Gary B. Lamont,et al. Multiobjective evolutionary algorithms: classifications, analyses, and new innovations , 1999 .
[24] Carlos M. Fonseca,et al. An Improved Dimension-Sweep Algorithm for the Hypervolume Indicator , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[25] D. Ginsbourger,et al. Kriging is well-suited to parallelize optimization , 2010 .
[26] Victor Picheny,et al. Multiobjective optimization using Gaussian process emulators via stepwise uncertainty reduction , 2013, Statistics and Computing.
[27] Joshua D. Knowles,et al. ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems , 2006, IEEE Transactions on Evolutionary Computation.
[28] J. A. Hartigan,et al. A k-means clustering algorithm , 1979 .
[29] Donald R. Jones,et al. Efficient Global Optimization of Expensive Black-Box Functions , 1998, J. Glob. Optim..
[30] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[31] Berç Rustem,et al. An algorithm for constrained nonlinear optimization under uncertainty , 1999, Autom..
[32] Daniel W. Apley,et al. Understanding the Effects of Model Uncertainty in Robust Design With Computer Experiments , 2006 .
[33] Jason R. Schott. Fault Tolerant Design Using Single and Multicriteria Genetic Algorithm Optimization. , 1995 .
[34] Fred van Keulen,et al. Efficient Kriging-based robust optimization of unconstrained problems , 2014, J. Comput. Sci..
[35] Qingfu Zhang,et al. Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model , 2010, IEEE Transactions on Evolutionary Computation.
[36] R JonesDonald,et al. Efficient Global Optimization of Expensive Black-Box Functions , 1998 .
[37] Loic Le Gratiet,et al. Multi-fidelity Gaussian process regression for computer experiments , 2013 .
[38] Wolfgang Ponweiser,et al. Multiobjective Optimization on a Limited Budget of Evaluations Using Model-Assisted -Metric Selection , 2008, PPSN.