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005 20220801215318.0
007 cr nn 008mamaa
008 191101s2020 si | s |||| 0|eng d
020 _a9789811507311
_9978-981-15-0731-1
024 7 _a10.1007/978-981-15-0731-1
_2doi
050 4 _aTA174
072 7 _aTBD
_2bicssc
072 7 _aTEC016020
_2bisacsh
072 7 _aTBD
_2thema
082 0 4 _a620.0042
_223
100 1 _aJiang, Ping.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_943605
245 1 0 _aSurrogate Model-Based Engineering Design and Optimization
_h[electronic resource] /
_cby Ping Jiang, Qi Zhou, Xinyu Shao.
250 _a1st ed. 2020.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2020.
300 _aIX, 240 p. 99 illus., 72 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Tracts in Mechanical Engineering,
_x2195-9870
505 0 _aIntroduction -- Classic types of surrogate model -- Ensemble of surrogate models -- Multi-fidelity surrogate model -- Verification methods for surrogate model -- Sampling approaches -- Surrogate model-based design optimization -- Conclusions.
520 _aThis 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.
650 0 _aEngineering design.
_93802
650 0 _aEngineering mathematics.
_93254
650 0 _aManufactures.
_931642
650 1 4 _aEngineering Design.
_93802
650 2 4 _aEngineering Mathematics.
_93254
650 2 4 _aMachines, Tools, Processes.
_931645
700 1 _aZhou, Qi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_943606
700 1 _aShao, Xinyu.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_943607
710 2 _aSpringerLink (Online service)
_943608
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811507304
776 0 8 _iPrinted edition:
_z9789811507328
776 0 8 _iPrinted edition:
_z9789811507335
830 0 _aSpringer Tracts in Mechanical Engineering,
_x2195-9870
_943609
856 4 0 _uhttps://doi.org/10.1007/978-981-15-0731-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77352
_d77352