Efficient Multi-Information Source Multiobjective Bayesian Optimization

[1]  Peter A. Morris,et al.  Combining Expert Judgments: A Bayesian Approach , 1977 .

[2]  Julien Bect,et al.  A Bayesian approach to constrained single- and multi-objective optimization , 2015, Journal of Global Optimization.

[3]  Andrzej Jaszkiewicz,et al.  Improved quick hypervolume algorithm , 2016, Comput. Oper. Res..

[4]  W. D. Thomison,et al.  A Model Reification Approach to Fusing Information from Multifidelity Information Sources , 2017 .

[5]  D. Madigan,et al.  Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window , 1994 .

[6]  Qing Yang,et al.  Novel Algorithm to Calculate Hypervolume Indicator of Pareto Approximation Set , 2007, ICIC.

[7]  Jeffrey K. Uhlmann,et al.  A non-divergent estimation algorithm in the presence of unknown correlations , 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

[8]  Douglas Allaire,et al.  Sequential Information-Theoretic and Reification-Based Approach for Querying Multi-Information Sources , 2019 .

[9]  Douglas Allaire,et al.  Gaussian Process Regression for Bayesian Fusion of Multi-Fidelity Information Sources , 2018 .

[10]  Ilan Kroo,et al.  Two-Level Multifidelity Design Optimization Studies for Supersonic Jets , 2005 .

[11]  Ankit Srivastava,et al.  Multi-Information Source Fusion and Optimization to Realize ICME: Application to Dual-Phase Materials , 2018, Journal of Mechanical Design.

[12]  Adrian E. Raftery,et al.  Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors , 1999 .

[13]  Karen Willcox,et al.  Provably Convergent Multifidelity Optimization Algorithm Not Requiring High-Fidelity Derivatives , 2012 .

[14]  Douglas Allaire,et al.  Multi-information source constrained Bayesian optimization , 2018, Structural and Multidisciplinary Optimization.

[15]  R. L. Winkler.  Combining Probability Distributions from Dependent Information Sources , 1981 .

[16]  Ramana V. Grandhi,et al.  Quantification of Modeling Uncertainty in Aeroelastic Analyses , 2011 .

[17]  Lucas Bradstreet,et al.  A Fast Way of Calculating Exact Hypervolumes , 2012, IEEE Transactions on Evolutionary Computation.

[18]  Michel van Tooren,et al.  Coupled adjoint aerostructural wing optimization using quasi-three-dimensional aerodynamic analysis , 2016 .

[19]  David Draper,et al.  Assessment and Propagation of Model Uncertainty , 2011 .

[20]  Lucas Bradstreet,et al.  A fast many-objective hypervolume algorithm using iterated incremental calculations , 2010, IEEE Congress on Evolutionary Computation.

[21]  K. Willcox,et al.  Constrained multifidelity optimization using model calibration , 2012, Structural and Multidisciplinary Optimization.

[22]  Michael T. M. Emmerich,et al.  Hypervolume-based expected improvement: Monotonicity properties and exact computation , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

[23]  Tom Dhaene,et al.  Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization , 2014, J. Glob. Optim..

[24]  Karen Willcox,et al.  Multifidelity Optimization using Statistical Surrogate Modeling for Non-Hierarchical Information Sources , 2015 .

[25]  George E. Apostolakis,et al.  Including model uncertainty in risk-informed decision making , 2006 .

[26]  Carlos M. Fonseca,et al.  An Improved Dimension-Sweep Algorithm for the Hypervolume Indicator , 2006, 2006 IEEE International Conference on Evolutionary Computation.

[27]  Bernard Grossman,et al.  MULTIFIDELITY RESPONSE SURFACE MODEL FOR HSCT WING BENDING MATERIAL WEIGHT , 1998 .

[28]  Joaquim R. R. A. Martins,et al.  OpenMDAO: an open-source framework for multidisciplinary design, analysis, and optimization , 2019, Structural and Multidisciplinary Optimization.

[29]  Karen Willcox,et al.  Surrogate Modeling for Uncertainty Assessment with Application to Aviation Environmental System Models , 2010 .

[30]  Seymour Geisser,et al.  A Bayes Approach for Combining Correlated Estimates , 1965 .

[31]  Joaquim R. R. A. Martins,et al.  Open-source coupled aerostructural optimization using Python , 2018 .

[32]  Marco Laumanns,et al.  Scalable multi-objective optimization test problems , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[33]  Lothar Thiele,et al.  Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..

[34]  Nicola Beume,et al.  S-Metric Calculation by Considering Dominated Hypervolume as Klee's Measure Problem , 2009, Evolutionary Computation.

[35]  Ali Mosleh,et al.  The Assessment of Probability Distributions from Expert Opinions with an Application to Seismic Fragility Curves , 1986 .

[36]  Enrico Zio,et al.  Two methods for the structured assessment of model uncertainty by experts in performance assessments of radioactive waste repositories , 1996 .