Space mapping techniques for a structural optimization problem governed by the p-Laplace equation
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- Optimization Methods and Software
دوره 26 شماره
صفحات -
تاریخ انتشار 2011