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
Original language | English |
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Title of host publication | EUROGEN 2017, Madrid, Spanien, 2017 |
Number of pages | 15 |
Publication status | Published - 2017 |
Fields of science
- 102 Computer Sciences
- 102001 Artificial intelligence
- 102011 Formal languages
- 102022 Software development
- 102031 Theoretical computer science
- 603109 Logic
- 202006 Computer hardware
JKU Focus areas
- Computation in Informatics and Mathematics