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

Author

Listed:
  • Dellino, G.
  • Lino, P.
  • Meloni, C.
  • Rizzo, A.

Abstract

This paper deals with the use of Kriging metamodels in multi-objective engineering design optimization. The metamodel management issue to find the tradeoff between accuracy and efficiency is addressed. A comparative analysis of different strategies is conducted for a case study devoted to the design of a component of the injection system for Compressed Natural Gas (CNG) engines. The computational results are reported and analyzed for a performance assessment conducted with a data envelopment analysis approach.

Suggested Citation

  • Dellino, G. & Lino, P. & Meloni, C. & Rizzo, A., 2009. "Kriging metamodel management in the design optimization of a CNG injection system," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2345-2360.
    • Handle: RePEc:eee:matcom:v:79:y:2009:i:8:p:2345-2360
    DOI: 10.1016/j.matcom.2009.01.013
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    References listed on IDEAS

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    1. D. Huang & T. Allen & W. Notz & N. Zeng, 2006. "Global Optimization of Stochastic Black-Box Systems via Sequential Kriging Meta-Models," Journal of Global Optimization, Springer, vol. 34(3), pages 441-466, March.
    2. D den Hertog & J P C Kleijnen & A Y D Siem, 2006. "The correct Kriging variance estimated by bootstrapping," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(4), pages 400-409, April.
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    Cited by:

    1. Sun, Zhili & Wang, Jian & Li, Rui & Tong, Cao, 2017. "LIF: A new Kriging based learning function and its application to structural reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 152-165.
    2. Qin, Rui & Liu, Yan-Kui, 2010. "Modeling data envelopment analysis by chance method in hybrid uncertain environments," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(5), pages 922-950.
    3. Zhu, Ping & Pan, Feng & Chen, Wei & Zhang, Siliang, 2012. "Use of support vector regression in structural optimization: Application to vehicle crashworthiness design," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 86(C), pages 21-31.
    4. Jingguo Wang & Raj Sharman & Stanley Zionts, 2012. "Functionality defense through diversity: a design framework to multitier systems," Annals of Operations Research, Springer, vol. 197(1), pages 25-45, August.

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