| id |
acadia06_418 |
| authors |
Narahara, T., Terzidis, K. |
| year |
2006 |
| title |
Multiple-constraint Genetic Algorithm in Housing Design |
| source |
Synthetic Landscapes [Proceedings of the 25th Annual Conference of the Association for Computer-Aided Design in Architecture] pp. 418-425 |
| doi |
https://doi.org/10.52842/conf.acadia.2006.418
|
| summary |
As architectural projects are becoming increasingly more complex in their formal manifestation as well as in their functional requirements, methods are sought to address these complexities. Genetic algorithms offer an effective solution to the problem allowing multiple constraints to compete as the system evolves towards an optimum configuration that fulfills those constraints. A case study is presented that involves a housing project with multiple environmental, functional, and economic constraints. |
| series |
ACADIA |
| email |
|
| full text |
 file.pdf (2,662,296 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:59 |
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