Quantile surrogates and sensitivity by adaptive Gaussian process for efficient reliability-based design optimization

标题
Quantile surrogates and sensitivity by adaptive Gaussian process for efficient reliability-based design optimization
作者
关键词
Active learning, Design of experiments, Gaussian process, Quantile surrogates, Reliability-based design optimization, Surrogate sensitivity
出版物
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 161, Issue -, Pages 107962
出版商
Elsevier BV
发表日期
2021-05-01
DOI
10.1016/j.ymssp.2021.107962

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