Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	ecaade2018_279
id	ecaade2018_279
authors	Wortmann, Thomas, Akbar, Zuardin and Schroepfer, Thomas
year	2018
title	Surveying Fitness Landscapes with Performance Explorer - Supporting the Design of a Better Tomorrow with Interactive Visualizations
doi	https://doi.org/10.52842/conf.ecaade.2018.1.621
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 621-630
summary	Increasing applications of parametric design and performance simulations by architectural designers present opportunities to design more resource- and energy-efficient buildings via simulation-based optimization. But Architectural Design Optimization (ADO) is less widespread that one might expect, due to, among other challenges, the problematic integration of optimization with architectural design. This problematic integration stems from a contrast between "wicked" or "co-evolving" architectural design problems and optimization problems. To mitigate the contrast between architectural and optimization problems, this paper presents Performance Explorer, an interactive, visual tool for performance-informed design space exploration (DSE). Performance-informed DSE emphasizes selection, refinement, and understanding over finding highest-performing design candidates. Performance Explorer allows interactive DSE via a visualization of a fitness landscape, with real-time feedback provided with a surrogate model. Performance Explorer is evaluated through a user test with thirty participants and emerges as more supportive and enjoyable to use than manual search and/or optimization.
keywords	Architectural Design Optimization; Performance-informed Design; Interactive Visualization; Design Tool
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2018_w06
id	ecaade2018_w06
authors	Wortmann, Thomas
year	2018
title	Beyond Genetic Algorithms - Understanding Simulation-based Optimization
doi	https://doi.org/10.52842/conf.ecaade.2018.1.073
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 73-74
summary	This workshop introduces simulation-based (i.e., black-box) optimization algorithms in Grasshopper in terms of their optimization strategies and performance. Through benchmarking on example problems defined by the participants, the workshop questions the almost exclusive reliance on Genetic Algorithms in Architectural Design Optimization.
keywords	Simulation-based Optimization; Genetic Algorithms; Benchmarking
series	eCAADe
email
last changed	2022/06/07 07:57

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