id |
ecaade2020_243 |
authors |
Petrov, Martin and Walker, James |
year |
2020 |
title |
Optioneering Methods for Optimization - Methods of exploring primary and secondary performance criteria in urban design |
source |
Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 29-36 |
doi |
https://doi.org/10.52842/conf.ecaade.2020.1.029
|
summary |
Architectural design optimization (ADO) is the notion of satisfying performance criteria within a constraint parameter space to find the best solution with the least trade-offs. This process tends to produce a vast amount of designs of varying quality and requires design space exploration (DSE) to review the myriad of designs so that an optimal candidate for design development can be chosen. This paper will explore different applied workflows for using optimization in an urban design competition, which seek to overcome the limitations of using optimization and DSE with a time constraint. |
keywords |
Optioneering; Architectural Design Optimization; Design Space Exploration; Multi-Objective Optimization; Genetic Algorithms |
series |
eCAADe |
email |
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full text |
file.pdf (12,235,175 bytes) |
references |
Content-type: text/plain
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last changed |
2022/06/07 08:00 |
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