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The effect of the type and parameter of the radial basis function on the performance of metamodel-based sequential global optimization

Title
The effect of the type and parameter of the radial basis function on the performance of metamodel-based sequential global optimization
Author
최동훈
Keywords
Sequential global optimization; Radial basis function; Optimal Latin hyercube design
Issue Date
2015-11
Publisher
대한기계학회
Citation
대한기계학회 창립 70주년 기념 학술대회, 2015.11, Page. 3458-3462
Abstract
Metamodel-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.
URI
http://www.dbpia.co.kr/Article/NODE06576394http://hdl.handle.net/20.500.11754/28903
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > MECHANICAL ENGINEERING(기계공학부) > Articles
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