Master Thesis MSTR-2023-18

BibliographyGaluschka, Marcel: Exploration Support for Performance Maps.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 18 (2023).
77 pages, english.
Abstract

In architectural design optimization multi-dimensional parameter space analysis is an important operation to find new solutions. In this work, a glyph-based approach is developed to combine the information of the parameter space and the continuous solution space. The glyphs, displayed on a uniform grid, additionally encode the uncertainty of the underlying continuous space. Interaction is added to obtain higher resolution information. A feedback loop is introduced to indicate areas that have already been explored. The application of the tool is demonstrated and evaluated in an expert study. The study results are classified and processed for technical improvements and future research.

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Department(s)University of Stuttgart, Institute of Visualisation and Interactive Systems, Visualisation and Interactive Systems
Superviser(s)Weiskopf, Prof. Daniel; Kurzhals, Dr. Kuno; Abdelaal, Moataz; Wortmann, Prof. Thomas; Zorn, Max
Entry dateJune 19, 2023
   Publ. Computer Science