| id |
acadia22_524 |
| authors |
Xiao, Jun; Liu, Yubo; Deng, Qiaoming |
| year |
2022 |
| title |
High-Density Building Form Generation Considering Daylight Performance |
| source |
ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 524-535. |
| summary |
In this case, aiming for a high-density building designed with high-quality daylighting, this article develops a building form generation program for daylight performance optimization integrating Cellular Automata (CA) and Genetic Algorithm (GA), tools that can provide a global daylighting optimization through the balance of competition and concession of agents. The CA model provides randomness and structural restriction, while GA provide optimization and convergence by evaluating and selecting a series of CA models. The model applies designed CA rules on daylighting and a mathematic proxy model for daylight performance in GA fitness calculation. |
| series |
ACADIA |
| type |
paper |
| email |
|
| full text |
 file.pdf (3,280,315 bytes) |
| references |
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| last changed |
2024/02/06 14:04 |
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