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The global Kriging model is constructed by introducing a so\u2010called learning function and using actively selected samples in the entire optimization space. With the Kriging model, the plausibility, Pl, of failure is obtained with evidence theory. The multidisciplinary feasible and collaborative optimization strategies of multidisciplinary design optimization are combined with the evidence\u2010based reliability analysis. Numerical examples are provided to illustrate the efficiency and accuracy of the proposed method. The numerical results show that the proposed algorithm is effective and valuable, which is valuable in engineering application.<\/jats:p>","DOI":"10.1155\/2019\/8390865","type":"journal-article","created":{"date-parts":[[2019,11,16]],"date-time":"2019-11-16T01:34:18Z","timestamp":1573868058000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Evidence\u2010Based Multidisciplinary Design Optimization with the Active Global Kriging Model"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9100-3060","authenticated-orcid":false,"given":"Fan","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3050-3173","authenticated-orcid":false,"given":"Ming","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4252-5692","authenticated-orcid":false,"given":"Lei","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7848-6333","authenticated-orcid":false,"given":"Hu","family":"Ren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0065-507X","authenticated-orcid":false,"given":"Jianbo","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2019,11,15]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-003-0345-0"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.2514\/3.15017"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/1046054"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.paerosci.2011.05.001"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1115\/1.4029756"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1080\/00949659708811803"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2004.03.017"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compstruc.2013.08.007"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.4271\/2008-01-0377"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2006.04.005"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.mechmachtheory.2012.01.007"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1080\/0305215x.2012.717073"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1080\/09544828.2015.1057557"},{"key":"e_1_2_9_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2014.12.011"},{"key":"e_1_2_9_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cja.2016.04.004"},{"key":"e_1_2_9_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2006.10.049"},{"key":"e_1_2_9_17_2","volume-title":"Monte-Carlo Methods Make Dempster-Shafer Formalism Feasible","author":"Kreinovich V. 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