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 |
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full text |
file.pdf (102,688 bytes) |
references |
Content-type: text/plain
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Wortmann, T and Nannicini, G (2017)
Introduction to Architectural Design Optimization
, Karakitsiou, A, Migdalas, A, Pardalos, PM and Rassia, S (eds), City Networks - Planning for Health and Sustainability, Springer International Publishing, Cham, CH, pp. 259-278
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Wortmann, T, Waibel, C, Nannicini, G, Evins, R, Schroepfer, T and Carmeliet, J (2017)
Are Genetic Algorithms really the best choice for Building Energy Optimization?
, Proceedings of the Symposium on Simulation for Architecture & Urban Design, Toronto, CA, pp. 51-58
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Wortmann, T (2017)
Surveying design spaces with performance maps
, IJAC, 15(1), pp. 38-53
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last changed |
2022/06/07 07:57 |
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