An enhanced Kriging surrogate modeling technique for high-dimensional problems

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2020.106687 ◽

2020 ◽

Vol 140 ◽

pp. 106687 ◽

Author(s):

Yicheng Zhou ◽

Zhenzhou Lu

Keyword(s):

Surrogate Modeling ◽

Modeling Technique ◽

High Dimensional ◽

Kriging Surrogate Modeling

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Global kriging surrogate modeling for general time-variant reliability-based design optimization problems

Structural and Multidisciplinary Optimization ◽

10.1007/s00158-018-1938-y ◽

2018 ◽

Vol 58 (3) ◽

pp. 955-968 ◽

Author(s):

Lara Hawchar ◽

Charbel-Pierre El Soueidy ◽

Franck Schoefs

Keyword(s):

Design Optimization ◽

Optimization Problems ◽

Surrogate Modeling ◽

Reliability Based Design Optimization ◽

Reliability Based Design ◽

Kriging Surrogate Modeling ◽

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Uniform Design and Kriging Surrogate Modeling in Improvement of Warpage and Ejection Time of an Injection Molded Plastic Spur Gear

Lecture Notes in Electrical Engineering - Proceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems (ICITES2013) ◽

10.1007/978-3-319-04573-3_74 ◽

2014 ◽

pp. 593-600 ◽

Author(s):

Cheng-Kang Lee ◽

Pang-Chieh Lin

Keyword(s):

Uniform Design ◽

Surrogate Modeling ◽

Spur Gear ◽

Ejection Time ◽

Injection Molded ◽

Injection Molded Plastic ◽

Kriging Surrogate Modeling

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Optimization of depth control for Unmanned Underwater Vehicle using surrogate modeling technique

2011 Fourth International Conference on Modeling, Simulation and Applied Optimization ◽

10.1109/icmsao.2011.5775543 ◽

2011 ◽

Author(s):

Amrul Faruq ◽

S. S. Abdullah ◽

M. Fauzi ◽

S. Nor

Keyword(s):

Surrogate Modeling ◽

Underwater Vehicle ◽

Modeling Technique ◽

Unmanned Underwater Vehicle ◽

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A combined sensitivity analysis and kriging surrogate modeling for early validation of health indicators

Reliability Engineering & System Safety ◽

10.1016/j.ress.2014.03.007 ◽

2014 ◽

Vol 130 ◽

pp. 12-26 ◽

Author(s):

Benjamin Lamoureux ◽

Nazih Mechbal ◽

Jean-Rémi Massé

Keyword(s):

Sensitivity Analysis ◽

Surrogate Modeling ◽

Health Indicators ◽

Early Validation ◽

Kriging Surrogate Modeling

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Using Cross-Validation to Design Trend Function in Kriging Surrogate Modeling

AIAA Journal ◽

10.2514/1.j052879 ◽

2014 ◽

Vol 52 (10) ◽

pp. 2313-2327 ◽

Author(s):

Haoquan Liang ◽

Ming Zhu ◽

Zhe Wu

Keyword(s):

Cross Validation ◽

Surrogate Modeling ◽

Trend Function ◽

Kriging Surrogate Modeling

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A new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry

Journal of Computational Physics ◽

10.1016/j.jcp.2015.01.034 ◽

2015 ◽

Vol 286 ◽

pp. 103-117 ◽

Author(s):

Pierric Kersaudy ◽

Bruno Sudret ◽

Nadège Varsier ◽

Odile Picon ◽

Joe Wiart

Keyword(s):

Uncertainty Analysis ◽

Polynomial Chaos ◽

Surrogate Modeling ◽

Modeling Technique ◽

Polynomial Chaos Expansions

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Surrogate Modeling with High-Dimensional Input and Output

AIAA Scitech 2021 Forum ◽

10.2514/6.2021-0182 ◽

2021 ◽

Author(s):

Yulin Guo ◽

Sankaran Mahadevan ◽

Shunsaku Matsumoto ◽

Shunsuke Taba ◽

Daigo Watanabe

Keyword(s):

Surrogate Modeling ◽

High Dimensional ◽

Input And Output

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Study on Low/High-Fidelity CFD and Its Integrated Surrogate Modeling Technique Toward Multi-Fidelity Aerodynamic Optimization of Supersonic Airfoil

The Proceedings of Conference of Kyushu Branch ◽

10.1299/jsmekyushu.2018.71.b14 ◽

2018 ◽

Vol 2018.71 (0) ◽

pp. B14

Author(s):

Junichi SUGIMOTO ◽

Koichi YONEMOTO ◽

Takahiro FUJIKAWA ◽

Hirotoshi TSUKAMOTO

Keyword(s):

Surrogate Modeling ◽

Modeling Technique ◽

High Fidelity ◽

Aerodynamic Optimization

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A Novel Surrogate Modeling Technique for Parametric Uncertainty Quantification in Simulation-Based Design

53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference<BR>20th AIAA/ASME/AHS Adaptive Structures Conference<BR>14th AIAA ◽

10.2514/6.2012-1761 ◽

2012 ◽

Author(s):

Matthew Riley ◽

Ramana Grandhi

Keyword(s):

Uncertainty Quantification ◽

Surrogate Modeling ◽

Parametric Uncertainty ◽

Modeling Technique ◽

Simulation Based Design ◽

Simulation Based

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A developed surrogate-based optimization framework combining HDMR-based modeling technique and TLBO algorithm for high-dimensional engineering problems

Structural and Multidisciplinary Optimization ◽

10.1007/s00158-019-02228-4 ◽

2019 ◽

Vol 60 (2) ◽

pp. 663-680 ◽

Author(s):

Xiaojing Wu ◽

Xuhao Peng ◽

Weisheng Chen ◽

Weiwei Zhang

Keyword(s):

Modeling Technique ◽

High Dimensional ◽

Optimization Framework ◽

Tlbo Algorithm ◽

Surrogate Based Optimization ◽

Engineering Problems

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