Abstract
Simulation-based optimization problems are often an inherent part in engineering
design tasks. This paper introduces one such use case, the design of a
box-type boom of a crane, which requires a time consuming structural analysis for
validation. To overcome high runtimes for optimization approaches with numerous
calls to the structural analysis tool, we here present several ways of approximating
the structural analysis results using surrogate models. Results show a strong correlation
between certain statics input and output parameters, and that various surrogate
modeling approaches yield similar results in terms of accuracy and impact of the
predictors on the output. The box-type boom use case together with the surrogate
models shall serve as an industrial optimization benchmark for comparing various
algorithms on this simulation-based optimization problem
| Originalsprache | Englisch |
|---|---|
| Titel | EUROGEN 2017, Madrid, Spanien, 2017 |
| Seitenumfang | 15 |
| Publikationsstatus | Veröffentlicht - 2017 |
Wissenschaftszweige
- 102 Informatik
- 102001 Artificial Intelligence
- 102011 Formale Sprachen
- 102022 Softwareentwicklung
- 102031 Theoretische Informatik
- 603109 Logik
- 202006 Computer Hardware
JKU-Schwerpunkte
- Computation in Informatics and Mathematics
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