摘要

Solving optimal control problems for real-world applications are hard to tackle numerically due to the large size and the complex underlying (partial differential equations based) models. In this paper, a structural optimization problem governed by the p-Laplace equation (fine model) is considered. A surrogate optimization is utilized to develop an efficient numerical optimization method. Here the p-Laplace equation is replaced by a simplified (coarse) model, a space mapping attempts to match, in the coarse model, the values of the p-Laplace equation. Numerical examples illustrate the presented approach.

  • 出版日期2011

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