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Pollok, Alexander und Bender, Daniel (2014) Using multi-objective optimization to balance system-level model complexity. In: ACM International Conference Proceeding Series. 6th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools, 2014-10-10, Berlin, Deutschland. doi: 10.1145/2666202.2666213.
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Offizielle URL: http://dx.doi.org/10.1145/2666202.2666213
Kurzfassung
Deciding what to include in a model is the essence of physical modeling. If this kind of decisions is done incorrectly, it results in a model that is both less accurate and offers less performance than others. This paper presents a method to deal with these decision problems and quantify the results. A workflow is proposed, where the modeler first builds a model and includes several sets of replaceable subsystems. A multi-objective optimization algorithm then identifies selections of subsystems that are pareto optimal regarding accuracy and computation time. Finally, the modeler can pick one of these selections based on the modeling intent. An implementation of the proposed method using Modelica and Python is presented and potential pitfalls are explained. Special consideration is given to the quantification of the error or distance between models of different structures. The method is then illustrated by the use of two examples, one of them a complex model of an avionics cooling system cold plate. Suggestions are given regarding the embedding of the method into typical modeling workflows by the use of custom annotations.
| elib-URL des Eintrags: | https://elib.dlr.de/92797/ | ||||||||||||
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| Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||
| Titel: | Using multi-objective optimization to balance system-level model complexity | ||||||||||||
| Autoren: |
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| Datum: | 10 Oktober 2014 | ||||||||||||
| Erschienen in: | ACM International Conference Proceeding Series | ||||||||||||
| Referierte Publikation: | Ja | ||||||||||||
| Open Access: | Nein | ||||||||||||
| Gold Open Access: | Nein | ||||||||||||
| In SCOPUS: | Ja | ||||||||||||
| In ISI Web of Science: | Nein | ||||||||||||
| DOI: | 10.1145/2666202.2666213 | ||||||||||||
| Status: | veröffentlicht | ||||||||||||
| Stichwörter: | tool, modeling, comparison metric, modelling, workflow, Modelica, pareto | ||||||||||||
| Veranstaltungstitel: | 6th International Workshop on Equation-Based Object-Oriented Modeling Languages and Tools | ||||||||||||
| Veranstaltungsort: | Berlin, Deutschland | ||||||||||||
| Veranstaltungsart: | Workshop | ||||||||||||
| Veranstaltungsdatum: | 10 Oktober 2014 | ||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||
| HGF - Programm: | Luftfahrt | ||||||||||||
| HGF - Programmthema: | Flugzeuge | ||||||||||||
| DLR - Schwerpunkt: | Luftfahrt | ||||||||||||
| DLR - Forschungsgebiet: | L AR - Aircraft Research | ||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | L - Systeme und Kabine (alt) | ||||||||||||
| Standort: | Oberpfaffenhofen | ||||||||||||
| Institute & Einrichtungen: | Institut für Systemdynamik und Regelungstechnik > Flugzeug-Systemdynamik | ||||||||||||
| Hinterlegt von: | Pollok, Dipl.-Ing. Alexander | ||||||||||||
| Hinterlegt am: | 03 Dez 2014 15:22 | ||||||||||||
| Letzte Änderung: | 24 Apr 2024 19:58 |
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- Using multi-objective optimization to balance system-level model complexity. (deposited 03 Dez 2014 15:22) [Gegenwärtig angezeigt]
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