PAVED: Pareto Front Visualization for Engineering Design

dc.contributor.authorCibulski, Lenaen_US
dc.contributor.authorMitterhofer, Huberten_US
dc.contributor.authorMay, Thorstenen_US
dc.contributor.authorKohlhammer, Jörnen_US
dc.contributor.editorViola, Ivan and Gleicher, Michael and Landesberger von Antburg, Tatianaen_US
dc.date.accessioned2020-05-24T13:01:08Z
dc.date.available2020-05-24T13:01:08Z
dc.date.issued2020
dc.description.abstractDesign 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.en_US
dc.description.number3
dc.description.sectionheadersVectors and Tensors
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume39
dc.identifier.doi10.1111/cgf.13990
dc.identifier.issn1467-8659
dc.identifier.pages405-416
dc.identifier.urihttps://doi.org/10.1111/cgf.13990
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13990
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.subjectHuman centered computing
dc.subjectVisual analytics
dc.subjectApplied computing
dc.subjectEngineering
dc.titlePAVED: Pareto Front Visualization for Engineering Designen_US
Files
Original bundle
Now showing 1 - 4 of 4
Loading...
Thumbnail Image
Name:
v39i3pp405-416.pdf
Size:
8.41 MB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
1031-file2.pdf
Size:
1.11 MB
Format:
Adobe Portable Document Format
No Thumbnail Available
Name:
1031-file1.mp4
Size:
95.02 MB
Format:
Unknown data format
Loading...
Thumbnail Image
Name:
cgf13990-v39i3pp405-416.pdf
Size:
8.6 MB
Format:
Adobe Portable Document Format
Description:
with Projekt Deal funding statement
Collections