| id |
caadria2016_177 |
| authors |
Wortmann, Thomas and Giacomo Nannicini |
| year |
2016 |
| title |
Black-Box Optimisation Methods for Architectural Design |
| doi |
https://doi.org/10.52842/conf.caadria.2016.177
|
| source |
Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 177-186 |
| summary |
Black-box optimization methods play an important role in automated design space exploration, but to-date have not been sys- tematically compared on problems from architectural design optimiza- tion. This paper presents a quantitative comparison of the three major types of black-box optimization: metaheuristics, direct search, and model-based methods. We compare the performance of one repre- sentative algorithm of each type (including a genetic algorithm) on four performance-based design problems of varying complexity and characteristics. Our results show that metaheuristics are greatly out- performed whenever evaluating tens of thousands of design candi- dates is not an option, and suggest direct search and model-based methods as viable and more efficient alternatives. |
| keywords |
Black-box optimization; simulation; direct search; surrogate models; genetic algorithms |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (1,421,454 bytes) |
| references |
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