Add to ORKGSolving 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
Presents an introduction of pde constrained optimization. This book provides a precise functional an...
In this thesis we report on investigations into the numerical solution of deterministic, continuous-...
In this report we study space-mapping and manifold-mapping, two multi-level optimization techniques ...
A main aspect in the design of passenger cars with respect to pedestrian safety is the energy absorp...
The use of response surface methods are well established in the global optimization of expensive fun...
The space mapping technique is used to efficiently solve complex optimization problems. It combines ...
The use of response surface methods are well established in the global optimization of expensive fun...
This is intended to be an outline of the topics presented in the November 16-18, 2000 workshop held ...
An adaptive approach to using reduced-order models as surrogates in PDE-constrained optimization is ...
Published online 2 October 2007Let f(x) denote an objective function that maps a vector x of length ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2007....
Optimization procedures, in practice, are based on highly accurate models that typically have an exc...
Design optimization problems are often formulated as an optimization problem whose objective is a fu...
iv New methods for solving certain types of PDE-constrained optimization problems are presented in t...
International audienceThe efficient global optimization approach was often used to reduce the comput...
Presents an introduction of pde constrained optimization. This book provides a precise functional an...
In this thesis we report on investigations into the numerical solution of deterministic, continuous-...
In this report we study space-mapping and manifold-mapping, two multi-level optimization techniques ...
A main aspect in the design of passenger cars with respect to pedestrian safety is the energy absorp...
The use of response surface methods are well established in the global optimization of expensive fun...
The space mapping technique is used to efficiently solve complex optimization problems. It combines ...
The use of response surface methods are well established in the global optimization of expensive fun...
This is intended to be an outline of the topics presented in the November 16-18, 2000 workshop held ...
An adaptive approach to using reduced-order models as surrogates in PDE-constrained optimization is ...
Published online 2 October 2007Let f(x) denote an objective function that maps a vector x of length ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2007....
Optimization procedures, in practice, are based on highly accurate models that typically have an exc...
Design optimization problems are often formulated as an optimization problem whose objective is a fu...
iv New methods for solving certain types of PDE-constrained optimization problems are presented in t...
International audienceThe efficient global optimization approach was often used to reduce the comput...
Presents an introduction of pde constrained optimization. This book provides a precise functional an...
In this thesis we report on investigations into the numerical solution of deterministic, continuous-...
In this report we study space-mapping and manifold-mapping, two multi-level optimization techniques ...