Surrogate-Assisted Tuning for Computer Experiments with Qualitative and Quantitative Parameters

DOI10.5705/ss.202017.0138zbMath1390.62154OpenAlexW2605914769MaRDI QIDQ4639577

Ray-Bing Chen, Jiahong K. Chen, Akihiro Fujii, Reiji Suda, Wei-Chung Wang

Publication date: 9 May 2018

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/a25f3821bdb318034f3d174d6a2cd715ad5e7dd4

zbMATH Keywords

Gaussian processcomputer experimentsexpected improvementfluid dynamicresponse surfacesperformance tuninginfill criteriaqualitative and quantitative parameterssurrogates modeling

Mathematics Subject Classification ID

Gaussian processes (60G15) Optimal statistical designs (62K05) Response surface designs (62K20)

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