A generalized "max-min" sample for surrogate update

作者:Lacaze Sylvain; Missoum Samy*
来源:Structural and Multidisciplinary Optimization, 2014, 49(4): 683-687.
DOI:10.1007/s00158-013-1011-9

摘要

This brief note describes the generalization of the "max-min" sample that was originally used in the update of approximated feasible or failure domains. The generalization stems from the use of the random variables joint distribution in the sampling scheme. In addition, this note proposes a numerical improvement of the max-min optimization problem through the use of the Chebychev norm.

  • 出版日期2014-4

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