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Variable-fidelity surrogate modeling integrates low-fidelity (LF) and high-fidelity (HF) models to balance computational efficiency and accuracy in multidisciplinary design optimization. After generating sample points through experimental design (e.g., the nested LHD methods in Chap. 4), HF and LF models are evaluated to obtain input-output data.

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Variable-Fidelity Surrogate Modeling via Scale Functions

  • 章节

  • 发表日期：

    2026年

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  • Jin Yi,
  • Jun Zheng,
  • Xinyu Li,
  • Liang Gao

摘要

Variable-fidelity surrogate modeling integrates low-fidelity (LF) and high-fidelity (HF) models to balance computational efficiency and accuracy in multidisciplinary design optimization. After generating sample points through experimental design (e.g., the nested LHD methods in Chap. 4), HF and LF models are evaluated to obtain input-output data.