A Fuzzy Hybrid Sequential Design Strategy for Global Surrogate Modeling of High-Dimensional Computer Experiments

DOI10.1137/140962437zbMath1314.62186OpenAlexW2013671119MaRDI QIDQ5254481

Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene

Publication date: 9 June 2015

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://biblio.ugent.be/publication/7025961

zbMATH Keywords

fuzzy inference systemsactive learningexperimental designhigh-dimensionalsequential design

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Numerical interpolation (65D05) Sequential statistical design (62L05) Response surface designs (62K20) Fuzziness and sequential statistical methods (62L86)

Related Items (2)

A multi-region active learning kriging method for response distribution construction of highly nonlinear problems ⋮ Sequential sensitivity analysis of expensive black-box simulators with metamodelling

Uses Software

• CUDA
• SUMO

Cites Work

• Unnamed Item
• Unsolved problems in geometry
• Lipschitzian optimization without the Lipschitz constant
• A Novel Hybrid Sequential Design Strategy for Global Surrogate Modeling of Computer Experiments
• Comparing sampling strategies for aerodynamic Kriging surrogate models
• An algorithm for fast optimal Latin hypercube design of experiments
• An experiment in linguistic synthesis with a fuzzy logic controller
• An Adaptive Exploration-Exploitation Algorithm for Constructing Metamodels in Random Simulation Using a Novel Sequential Experimental Design
• Metamodels for computer-based engineering design: Survey and recommendations

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