| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1733108 | Energy | 2013 | 10 Pages |
Abstract
The application potential is tested on a case study consisting of a multiobjective design optimization problem. The results show that the surrogate and the fine model converge to the same solution. Being 150 times faster than the original model, the surrogate model is thus a valid choice for computationally demanding applications.
Related Topics
Physical Sciences and Engineering
Energy
Energy (General)
Authors
Raffaele Bornatico, Jonathan Hüssy, Andreas Witzig, Lino Guzzella,