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http://www.sfu.ca/~gwa5/index_files/Microsoft%20Word%20-%20ASME-Metamodeling-6-12-06.pdf
Metamodeling can be applied and integrated to solve various types of optimization problems that involve computation-intensive functions. Figure 1 Metamodeling and its role in support of engineering design optimization. As illustrated in Fig. 1, metamodeling supports various design activities that are enclosed in …
https://asmedigitalcollection.asme.org/mechanicaldesign/article/129/4/370/466824/Review-of-Metamodeling-Techniques-in-Support-of
May 04, 2006 · This work reviews the state-of-the-art metamodel-based techniques from a practitioner’s perspective according to the role of metamodeling in supporting design optimization, including model approximation, design space exploration, problem formulation, and solving various types of …Cited by: 1428
https://www.researchgate.net/publication/237453504_Review_of_Metamodeling_Techniques_in_Support_of_Engineering_Design_Optimization
Review of Metamodeling Techniques in Support of Engineering Design Optimization Article (PDF Available) in Journal of Mechanical Design 129(4) · April 2007 with 6,145 Reads How we measure 'reads'
https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings/IDETC-CIE2006/4255X/415/314729
Wang, G. Gary, and Shan, S. "Review of Metamodeling Techniques in Support of Engineering Design Optimization." Proceedings of the ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.Cited by: 364
https://www.sciencedirect.com/science/article/pii/S0306261917315489
As stated in the introduction, we strive for a comprehensive comparison study of six popular metamodeling techniques with emphasis on building performance simulations. This chapter explains our approach, which is based on the lessons learnt from the literature review.Cited by: 24
http://growingscience.com/beta/ijiec/2555-an-overview-on-robust-design-hybrid-metamodeling-advanced-methodology-in-process-optimization-under-uncertainty.html
Growing Science » International Journal of Industrial Engineering Computations » An overview on robust design hybrid metamodeling: Advanced methodology in ... An overview on robust design hybrid metamodeling: Advanced methodology in process optimization under uncertainty. ... & Shan, S. (2007). Review of Metamodeling Techniques in Support of ...Cited by: 8
https://www.sciencedirect.com/science/article/pii/S1568494609002841
To evaluate the different metamodel types, a systematic comparison is first conducted to analyze the strengths and weaknesses of five popular metamodeling techniques (Artificial Neural Network, Radial Basis Function, Support Vector Regression, Kriging, and Multivariate Adaptive Regression Splines) for stochastic simulation problems.Cited by: 147
http://memetic-computing.org/publication/journal/Survey-Adaptive-Sampling-Global-Metamodeling.pdf
metamodeling techniques, have been continuously developed for various purposes. To the best of our knowledge, however, there has been a lack of reviews on the adaptive sampling for global metamodeling in the literature . Recently r elated reviews, on the other hand, have mainly focused on traditional space-filling sampling approaches
https://www.researchgate.net/publication/322325086_Metamodeling_a_system_dynamics_model_A_contemporary_comparison_of_methods
This work reviews the state-of-the-art metamodel-based techniques from a practitioner's perspective according to the role of metamodeling in supporting design optimization, including model ...
https://arc.aiaa.org/doi/abs/10.2514/1.J052375
Mar 17, 2014 · Rather than a technical review of the entire body of metamodeling literature, the focus is on the evolution and motivation for advancements in metamodeling with some discussion on the research itself; not surprisingly, much of the current research motivation is the same as it was in the past.Cited by: 222
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