Cibulski, Lena ; Mitterhofer, Hubert ; May, Thorsten ; Kohlhammer, Jörn (2024)
PAVED: Pareto Front Visualization for Engineering Design.
In: Computer Graphics Forum, 2020, 39 (3)
doi: 10.26083/tuprints-00017444
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (Abstract)
Design problems in engineering typically involve a large solution space and several potentially conflicting criteria. Selecting a compromise solution is often supported by optimization algorithms that compute hundreds of Pareto‐optimal solutions, thus informing a decision by the engineer. However, the complexity of evaluating and comparing alternatives increases with the number of criteria that need to be considered at the same time. We present a design study on Pareto front visualization to support engineers in applying their expertise and subjective preferences for selection of the most‐preferred solution. We provide a characterization of data and tasks from the parametric design of electric motors. The requirements identified were the basis for our development of PAVED, an interactive parallel coordinates visualization for exploration of multi‐criteria alternatives. We reflect on our user‐centered design process that included iterative refinement with real data in close collaboration with a domain expert as well as a summative evaluation in the field. The results suggest a high usability of our visualization as part of a real‐world engineering design workflow. Our lessons learned can serve as guidance to future visualization developers targeting multi‐criteria optimization problems in engineering design or alternative domains.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2024 |
| Autor(en): | Cibulski, Lena ; Mitterhofer, Hubert ; May, Thorsten ; Kohlhammer, Jörn |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | PAVED: Pareto Front Visualization for Engineering Design |
| Sprache: | Englisch |
| Publikationsjahr: | 29 Januar 2024 |
| Ort: | Darmstadt |
| Publikationsdatum der Erstveröffentlichung: | 2020 |
| Ort der Erstveröffentlichung: | Oxford |
| Verlag: | John Wiley & Sons |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Computer Graphics Forum |
| Jahrgang/Volume einer Zeitschrift: | 39 |
| (Heft-)Nummer: | 3 |
| DOI: | 10.26083/tuprints-00017444 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/17444 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichung DeepGreen |
| Kurzbeschreibung (Abstract): | Design problems in engineering typically involve a large solution space and several potentially conflicting criteria. Selecting a compromise solution is often supported by optimization algorithms that compute hundreds of Pareto‐optimal solutions, thus informing a decision by the engineer. However, the complexity of evaluating and comparing alternatives increases with the number of criteria that need to be considered at the same time. We present a design study on Pareto front visualization to support engineers in applying their expertise and subjective preferences for selection of the most‐preferred solution. We provide a characterization of data and tasks from the parametric design of electric motors. The requirements identified were the basis for our development of PAVED, an interactive parallel coordinates visualization for exploration of multi‐criteria alternatives. We reflect on our user‐centered design process that included iterative refinement with real data in close collaboration with a domain expert as well as a summative evaluation in the field. The results suggest a high usability of our visualization as part of a real‐world engineering design workflow. Our lessons learned can serve as guidance to future visualization developers targeting multi‐criteria optimization problems in engineering design or alternative domains. |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-174445 |
| Zusätzliche Informationen: | Eurographics Conference on Visualization (EuroVis) 2020 CCS Concepts: • Human‐centered computing → Visual analytics; Applied computing → Engineering |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme 20 Fachbereich Informatik > Fraunhofer IGD |
| Hinterlegungsdatum: | 29 Jan 2024 14:00 |
| Letzte Änderung: | 31 Jan 2024 10:04 |
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| Suche nach Titel in: | TUfind oder in Google |
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- PAVED: Pareto Front Visualization for Engineering Design. (deposited 29 Jan 2024 14:00) [Gegenwärtig angezeigt]
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