Record link: 
http://hdl.handle.net/20.500.12708/139337
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Title: 
Evaluation of parametric multi-objective optimization and decision support tool for flexible industrial building design
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Citation: 
Zahlbruckner, M. A., Reisinger, J., Wang-Sukalia, X., Kan, P., Knoll, M., Kovacic, I., & Kaufmann, H. (2022). Evaluation of parametric multi-objective optimization and decision support tool for flexible industrial building design. In L. C. Tagliabue, A. Chassiakos, D. M. Hall, D. Nikolic, & R. Soman (Eds.), Proceedings of the 2022 European Conference on Computing in Construction (pp. 115–122). https://doi.org/10.35490/EC3.2022.202
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Publisher DOI: 
10.35490/EC3.2022.202
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Zahlbruckner, Maria Antonia 
Reisinger, Julia 
Wang-Sukalia, Xi 
Kan, Peter 
Knoll, Maximilian 
Kovacic, Iva 
Kaufmann, Hannes 
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Organisational Unit: 
E210-01 - Forschungsbereich Integrale Planung und Industriebau 
E193-03 - Forschungsbereich Virtual and Augmented Reality 
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Published in: 
Proceedings of the 2022 European Conference on Computing in Construction 
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ISBN: 
978-8-875902-26-1
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Volume: 
3
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DOI of the book: 
10.35490/EC3.2022
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Date (published): 
24-Jul-2022
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Event name: 
2022 European Conference on Computing in Construction 
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Event date: 
24-Jul-2022 - 26-Jul-2022
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Event place: 
Rhodes, Greece, Greece
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Number of Pages: 
8
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Keywords: 
parametric design; industrial building; multi-objective optimization
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Abstract: 
Parametric multi-objective optimization tools bear the potential to integrate, optimize, and explore design spaces to support interdisciplinary decision-making. A parametric optimization and decision support tool was developed (POD tool), and an evolutionary multi-objective optimization algorithm implemented (POD MOO tool) to automate design search for flexible integrated industrial building design. Both tools were tested and compared within a user study, simulating an interdisciplinary industrial building design process to evaluate if the MOO creates advanced building options in design search. Evaluations of questionnaires show the preference to search for a design by manipulating parameters instead of automatically generated designs from the algorithm.
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Project title: 
BIM-BASIERTE DIGITALE PLATTFORM ZUR PLANUNG UND OPTIMIERUNG VON FLEXIBLEN GEBÄUDEN FÜR DIE INDUSTRIE 4.0: 877159 (FFG - Österr. Forschungsförderungs- gesellschaft mbH) 
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Research Areas: 
Modeling and Simulation: 100%
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Science Branch: 
2011 - Bauingenieurwesen: 100%
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Appears in Collections:
Conference Paper

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