Learning the characteristics of engineering optimization problems with applications in automotive crash-Reference-Cited by-同舟云学术

Learning the characteristics of engineering optimization problems with applications in automotive crash

Published:2022-07-08 Issue: Volume: Page:
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Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
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Author:

Long Fu Xing¹^ORCID,van Stein Bas²^ORCID,Frenzel Moritz¹^ORCID,Krause Peter³^ORCID,Gitterle Markus⁴^ORCID,Bäck Thomas²^ORCID

Affiliation:

1. BMW Group, Munich, Germany

2. Leiden University, Leiden, Netherlands

3. divis intelligent solutions GmbH, Dortmund, Germany

4. University of Applied Sciences, Munich, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3512290.3528712

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4. Livermore Software Technology Corporation . 2019 . LS-DYNA Theory Manual . Retrieved December 28, 2021 from https://ftp.lstc.com/anonymous/outgoing/jday/manuals/DRAFT_Theory.pdf Livermore Software Technology Corporation. 2019. LS-DYNA Theory Manual. Retrieved December 28, 2021 from https://ftp.lstc.com/anonymous/outgoing/jday/manuals/DRAFT_Theory.pdf

5. Making a case for (Hyper-)parameter tuning as benchmark problems

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