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http://dx.doi.org/10.5139/JKSAS.2006.34.9.033

An Improved Stochastic Algorithm Using Kriging for Practical Optimal Designs  

임종빈 (한국항공대학교)
박정선 (한국항공대학교)
노영희 (한국항공대학교)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.34, no.9, 2006 , pp. 33-44 More about this Journal
Abstract
As many scientific phenomena are now investigated using complex computer models, the effective use of Kriging on physical problems has been expanded to provide global approximations for optimization problems. This paper is focused on the two types of strategies to improve efficiency and accuracy of approximate optimization models using Kriging. These methods are performed by the stochastic process, stochastic-localization method(SLM), as the criterion to move the local domains and the design of experiments(DOE), the classical design and space-filling design. The proposed methodology is applied to the designs of 3-bar truss, Sandgren's pressure vessel, and honeycomb upper platform of a satellite structure.
Keywords
Kriging; Sequential approximate optimal design; stochastic localization method;
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Times Cited By KSCI : 1  (Citation Analysis)
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