• Title/Summary/Keyword: 확률론적 국부화기법

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An Improved Stochastic Algorithm Using Kriging for Practical Optimal Designs (크리깅을 이용한 개선된 확률론적 최적화 알고리즘)

  • 임종빈;박정선;노영희
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.34 no.9
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    • pp.33-44
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    • 2006
  • 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.