| id |
cf2015_240 |
| authors |
Aksoy, Yazgi Badem; Çagdas, Gülen and Balaban, Özgün |
| year |
2015 |
| title |
A model for sustainable site layout design of social housing with Pareto Genetic Algorithm: SSPM |
| source |
The next city - New technologies and the future of the built environment [16th International Conference CAAD Futures 2015. Sao Paulo, July 8-10, 2015. Electronic Proceedings/ ISBN 978-85-85783-53-2] Sao Paulo, Brazil, July 8-10, 2015, pp. 240. |
| summary |
Nowadays as the aim to reduce the environmental impact of buildings becomes more apparent, a new architectural design approach is gaining momentum called sustainable architectural design. Sustainable architectural design process includes some regulations itself, which requires calculations, comparisons and consists of several possible conflicting objectives that need to be considered together. A successful green building design can be performed by the creation of alternative designs generated according to all the sustainability parameters and local regulations in conceptual design stage. As there are conflicting criteria's according to LEED and BREAM sustainable site parameters, local regulations and local climate conditions, an efficient decision support system can be developed by the help of Pareto based non-dominated genetic algorithm (NSGA-II) which is used for several possibly conflicting objectives that need to be considered together. In this paper, a model which aims to produce site layout alternatives according to sustainability criteria for cooperative apartment house complexes, will be mentioned. |
| keywords |
Sustainable Site Layout Design, Multi Objective Genetic Algorithm, LEED-BREEAM. |
| series |
CAAD Futures |
| type |
normal paper |
| email |
|
| full text |
 file.pdf (124,133 bytes) |
| references |
Content-type: text/plain
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| last changed |
2015/06/29 09:30 |
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