Chinese Journal of Ship Research, Volume. 16, Issue 4, 37(2021)

Multi-fidelity sequential constraint updating optimization approach based on confidence intervals and its application

Jiachang QIAN1,2, Yuansheng CHENG1, and Jinlan ZHANG2
Author Affiliations
  • 1School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2Wuhan Second Ship Design and Research Institute, Wuhan 430205, China
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    References(12)

    [2] FORRESTER A I J, KEANE A J. Recent advances in surrogate-based optimization[J]. Progress in Aerospace Sciences, 45, 50-79(2009).

    [11] [11] YI J X, LIU J, CHENG Y S. A fast fecast method based on high low fidelity surrogate models f strength stability of stiffened cylindrical shell with variable ribs[C]Proceedings of the 2018 IEEE 8th International Conference on Underwater System Technology: They Applications. Wuhan: IEEE, 2018: 1–6.

    [16] LV Z Y, LU Z Z, WANG P. A new learning function for Kriging and its applications to solve reliability problems in engineering[J]. Computers & Mathematics with Applications, 70, 1182-1197(2015).

    [17] WANG Z L, IERAPETRITOU M. Constrained optimization of black-box stochastic systems using a novel feasibility enhanced Kriging-based method[J]. Computers & Chemical Engineering, 118, 210-223(2018).

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    Jiachang QIAN, Yuansheng CHENG, Jinlan ZHANG. Multi-fidelity sequential constraint updating optimization approach based on confidence intervals and its application[J]. Chinese Journal of Ship Research, 2021, 16(4): 37

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    Paper Information

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    Received: Jul. 4, 2020

    Accepted: --

    Published Online: Mar. 28, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02025

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