Use of support vector regression in structural optimization: application to vehicle crashworthiness design

DOI10.1016/J.MATCOM.2011.11.008OpenAlexW2025157389MaRDI QIDQ2225142

Siliang Zhang, Feng Pan, Ping Zhu, Wei Chen

Publication date: 5 February 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2011.11.008

zbMATH Keywords

structural optimizationcrashworthinessmetamodelsupport vector regressionvehicle lightweight design

Mathematics Subject Classification ID

Mechanics of particles and systems (70-XX) Operations research, mathematical programming (90-XX)

Related Items (2)

PFF-RVM: a new no reference image quality measure ⋮ High-Low Level Support Vector Regression Prediction Approach (HL-SVR) for Data Modeling with Input Parameters of Unequal Sample Sizes

Cites Work

• Knowledge incorporation in evolutionary computation
• Linear programming support vector regression with wavelet kernel: A new approach to nonlinear dynamical systems identification
• Kriging metamodel management in the design optimization of a CNG injection system
• Development of an efficient aerodynamic shape optimization framework
• Practical selection of SVM parameters and noise estimation for SVM regression
• Response surface approximation of Pareto optimal front in multi-objective optimization

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