@article{923215,
      recid = {923215},
      author = {Jiang, Ping, and Zhou, Qi, and Shao, Xinyu,},
      title = {Surrogate model-based engineering design and optimization  /},
      pages = {1 online resource (ix, 240 pages) :},
      abstract = {This book covers some of the most popular methods in  design space sampling, ensembling surrogate models,  multi-fidelity surrogate model construction, surrogate  model selection and validation, surrogate-based robust  design optimization, and surrogate-based evolutionary  optimization. Surrogate or metamodels are now frequently  used in complex engineering product design to replace  expensive simulations or physical experiments. They are  constructed from available input parameter values and the  corresponding output performance or quantities of interest  (QOIs) to provide predictions based on the fitted or  interpolated mathematical relationships. The book  highlights a range of methods for ensembling surrogate and  multi-fidelity models, which offer a good balance between  surrogate modeling accuracy and building cost. A number of  real-world engineering design problems, such as  three-dimensional aircraft design, are also provided to  illustrate the ability of surrogates for supporting complex  engineering design. Lastly, illustrative examples are  included throughout to help explain the approaches in a  more "hands-on" manner.},
      url = {http://library.usi.edu/record/923215},
      doi = {https://doi.org/10.1007/978-981-15-0731-1,  https://doi.org/10.1007/978-981-15-0},
}