Probability-based least square support vector regression metamodeling technique for crashworthiness optimization problems

DOI10.1007/s00466-010-0532-yzbMath1398.74255OpenAlexW1969114329MaRDI QIDQ633524

Hu Wang, Enying Li, Guangyao Li

Publication date: 1 April 2011

Published in: Computational Mechanics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00466-010-0532-y

zbMATH Keywords

optimizationcrashworthinesssupport vector regressionintelligent samplingmetamodeling technique

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Contact in solid mechanics (74M15) Computing methodologies and applications (68U99) Optimization of other properties in solid mechanics (74P10)

Related Items (4)

A hybrid cellular automaton–bi-directional evolutionary optimization algorithm for topological optimization of crashworthiness ⋮ Crashworthiness optimization of foam-filled tapered thin-walled structure using multiple surrogate models ⋮ Design optimization under uncertainties of a mesoscale implant in biological tissues using a probabilistic learning algorithm ⋮ A time-space Kriging-based sequential metamodeling approach for multi-objective crashworthiness optimization

Cites Work

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• Crashworthiness design optimization using successive response surface approximations
• Nonlinear time series. Nonparametric and parametric methods

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