| id |
sigradi2020_223 |
| authors |
Silva, Diego Jami Menezes da; Martino, Jarryer Andrade de |
| year |
2020 |
| title |
Space planning from environmental parameter |
| source |
SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 223-228 |
| summary |
The environmental parameter as a constraint in the initial phase of the design process becomes essential for the promotion of the building's environment comfort. This research explores the principles of space planning and the genetic algorithm considering an environment parameter to obtain optimized-solutions automatically in the initial phase of the architectural design process. For this, a generative system was developing using space planning and a genetic algorithm from an environmental parameter to obtain better solutions automatically. Several studies happened to understand the functioning of the mechanism. The research discusses the results and failures that may have influenced the generative system. |
| keywords |
Genetic algorithm, Generative system, Space planning, Performative design, Environmental comfort |
| series |
SIGraDi |
| email |
|
| full text |
 file.pdf (410,095 bytes) |
| references |
Content-type: text/plain
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| last changed |
2021/07/16 11:48 |
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