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dc.contributor.author최동훈-
dc.date.accessioned2017-09-05T05:25:31Z-
dc.date.available2017-09-05T05:25:31Z-
dc.date.issued2015-11-
dc.identifier.citation대한기계학회 창립 70주년 기념 학술대회, 2015.11, Page. 3458-3462en_US
dc.identifier.urihttp://www.dbpia.co.kr/Article/NODE06576394-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/28903-
dc.description.abstractMetamodel-based sequential global optimization (SGO) aims for finding the global optimum with a relatively small number of sample design points where expensive simulations are performed, and widely used for industrial design problems. As a metamodel-based SGO, “Constrained Optimization By Radial basis function interpolation” (COBRA) has been proposed using a cubic radial basis function (RBF) with a linear polynomial tail as the metamodel. In this study, we investigated the effect of the type and parameter of the RBF on the performance of metamodel-based SGO with comparing the original test results. Then, we recommended RBF type and parameter with the best performance for the mathematical and engineering test problems representing various practical optimization problems.en_US
dc.language.isoenen_US
dc.publisher대한기계학회en_US
dc.subjectSequential global optimizationen_US
dc.subjectRadial basis functionen_US
dc.subjectOptimal Latin hyercube designen_US
dc.titleThe effect of the type and parameter of the radial basis function on the performance of metamodel-based sequential global optimizationen_US
dc.typeArticleen_US
dc.relation.no--
dc.relation.volume--
dc.relation.page1-5-
dc.contributor.googleauthorYu Fan-
dc.contributor.googleauthor박도현-
dc.contributor.googleauthor최동훈-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDIVISION OF MECHANICAL ENGINEERING-
dc.identifier.piddhchoi-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > MECHANICAL ENGINEERING(기계공학부) > Articles
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