id |
ecaade2018_405 |
authors |
Belém, Catarina and Leit?o, António |
year |
2018 |
title |
From Design to Optimized Design - An algorithmic-based approach |
doi |
https://doi.org/10.52842/conf.ecaade.2018.2.549
|
source |
Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 549-558 |
summary |
Stringent requirements of efficiency and sustainability lead to the demand for buildings that have good performance regarding different criteria, such as cost, lighting, thermal, and structural, among others. Optimization can be used to ensure that such requirements are met. In order to optimize a design, it is necessary to generate different variations of the design, and to evaluate each variation regarding the intended criteria. Currently available design and evaluation tools often demand manual and time-consuming interventions, thus limiting design variations, and causing architects to completely avoid optimization or to postpone it to later stages of the design, when its benefits are diminished. To address these limitations, we propose Algorithmic Optimization, an algorithmic-based approach that combines an algorithmic description of building designs with automated simulation processes and with optimization processes. We test our approach on a daylighting optimization case study and we benchmark different optimization methods. Our results show that the proposed workflow allows to exclude manual interventions from the optimization process, thus enabling its automation. Moreover, the proposed workflow is able to support the architect in the choice of the optimization method, as it enables him to easily switch between different optimization methods. |
keywords |
Algorithmic Design; Algorithmic Analysis; Algorithmic Optimization; Lighting optimization; Black-Box optimization |
series |
eCAADe |
email |
|
full text |
file.pdf (4,025,097 bytes) |
references |
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2022/06/07 07:54 |
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