000923215 000__ 03263cam\a2200505Ii\4500 000923215 001__ 923215 000923215 005__ 20230306151014.0 000923215 006__ m\\\\\o\\d\\\\\\\\ 000923215 007__ cr\cn\nnnunnun 000923215 008__ 191104s2020\\\\si\a\\\\ob\\\\000\0\eng\d 000923215 019__ $$a1126337180$$a1129169546 000923215 020__ $$a9789811507311$$q(electronic book) 000923215 020__ $$a9811507317$$q(electronic book) 000923215 020__ $$z9789811507304 000923215 020__ $$z9811507309 000923215 0247_ $$a10.1007/978-981-15-0731-1$$2doi 000923215 0247_ $$a10.1007/978-981-15-0 000923215 035__ $$aSP(OCoLC)on1126283742 000923215 035__ $$aSP(OCoLC)1126283742$$z(OCoLC)1126337180$$z(OCoLC)1129169546 000923215 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dN$T$$dEBLCP$$dLQU$$dUPM$$dOCLCF 000923215 049__ $$aISEA 000923215 050_4 $$aTA174 000923215 08204 $$a620/.0042015118$$223 000923215 1001_ $$aJiang, Ping,$$eauthor. 000923215 24510 $$aSurrogate model-based engineering design and optimization /$$cPing Jiang, Qi Zhou, Xinyu Shao. 000923215 264_1 $$aSingapore :$$bSpringer,$$c2020. 000923215 300__ $$a1 online resource (ix, 240 pages) :$$billustrations. 000923215 336__ $$atext$$btxt$$2rdacontent 000923215 337__ $$acomputer$$bc$$2rdamedia 000923215 338__ $$aonline resource$$bcr$$2rdacarrier 000923215 4901_ $$aSpringer tracts in mechanical engineering,$$x2195-9862 000923215 504__ $$aIncludes bibliographical references. 000923215 5050_ $$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. 000923215 506__ $$aAccess limited to authorized users. 000923215 520__ $$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. 000923215 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 4, 2019). 000923215 650_0 $$aEngineering design$$xMathematical models. 000923215 7001_ $$aZhou, Qi,$$eauthor. 000923215 7001_ $$aShao, Xinyu,$$eauthor. 000923215 77608 $$iPrint version:$$z9811507309$$z9789811507304$$w(OCoLC)1117632240 000923215 830_0 $$aSpringer tracts in mechanical engineering. 000923215 852__ $$bebk 000923215 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-0731-1$$zOnline Access$$91397441.1 000923215 909CO $$ooai:library.usi.edu:923215$$pGLOBAL_SET 000923215 980__ $$aEBOOK 000923215 980__ $$aBIB 000923215 982__ $$aEbook 000923215 983__ $$aOnline 000923215 994__ $$a92$$bISE