Kriging metamodel management in the design optimization of a CNG injection system

DOI10.1016/j.matcom.2009.01.013zbMath1166.65343OpenAlexW1987881143MaRDI QIDQ1025320

J. Martínez

Publication date: 18 June 2009

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

Full work available at URL: https://doi.org/10.1016/j.matcom.2009.01.013

zbMATH Keywords

optimizationdesign of experimentsnumerical examplesevolutionary algorithmsmulti-objectivekriging metamodelsmetamodel management

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Numerical mathematical programming methods (65K05) Multi-objective and goal programming (90C29)

Related Items (3)

Use of support vector regression in structural optimization: application to vehicle crashworthiness design ⋮ Modeling data envelopment analysis by chance method in hybrid uncertain environments ⋮ A survey on kriging-based infill algorithms for multiobjective simulation optimization

Uses Software

• DACE

Cites Work

• Unnamed Item
• Knowledge incorporation in evolutionary computation
• The design and analysis of computer experiments.
• A taxonomy of global optimization methods based on response surfaces
• Global optimization of stochastic black-box systems via sequential kriging meta-models
• Kriging for interpolation in random simulation
• The correct Kriging variance estimated by bootstrapping
• Principles of Optimal Design
• Efficient optimization processes using kriging approximation models in electrical impedance tomography

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