TY - GEN
T1 - Addressing Religious Architectural Restrictions with Computer Code
T2 - 30th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2025
AU - Dortheimer, Jonathan
AU - Bitman, Gaya
N1 - Publisher Copyright:
© 2025 and published by the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong.
PY - 2025
Y1 - 2025
N2 - The design of sukkah balconies in high-rise multi-residential buildings presents unique challenges due to Jewish law, which mandates an unobstructed view of the sky for each balcony. This requirement challenges architectural design and limits building heights, particularly in densely populated areas, as it prohibits overlapping balconies. This study addresses this challenge by modeling the design problem as a single-objective optimization task with a Genetic Algorithm (GA). Such an algorithm is a common method in parametric architecture for solving and optimizing architectural designs. However, we find that the GA faces significant limitations when applied for design, such as rapid convergence that restricts the exploration of potential solutions. Furthermore, GAs have difficulties optimizing solutions to meet specific minimum requirements, which is critical in design. To overcome these limitations, we propose an enhanced approach by executing multiple parallel, more minor GAs to improve random sampling. Additionally, we introduce an evaluation function distinct from the fitness function, enabling the selection of solutions that meet critical minimum criteria. This refined method is a more effective strategy for addressing the architectural challenge of designing sukkah balconies and offers an improved approach to applying GA for design.
AB - The design of sukkah balconies in high-rise multi-residential buildings presents unique challenges due to Jewish law, which mandates an unobstructed view of the sky for each balcony. This requirement challenges architectural design and limits building heights, particularly in densely populated areas, as it prohibits overlapping balconies. This study addresses this challenge by modeling the design problem as a single-objective optimization task with a Genetic Algorithm (GA). Such an algorithm is a common method in parametric architecture for solving and optimizing architectural designs. However, we find that the GA faces significant limitations when applied for design, such as rapid convergence that restricts the exploration of potential solutions. Furthermore, GAs have difficulties optimizing solutions to meet specific minimum requirements, which is critical in design. To overcome these limitations, we propose an enhanced approach by executing multiple parallel, more minor GAs to improve random sampling. Additionally, we introduce an evaluation function distinct from the fitness function, enabling the selection of solutions that meet critical minimum criteria. This refined method is a more effective strategy for addressing the architectural challenge of designing sukkah balconies and offers an improved approach to applying GA for design.
KW - design optimization
KW - evolutionary architecture
KW - genetic algorithm
KW - parametric architecture
KW - religious architecture
UR - https://www.scopus.com/pages/publications/105023152478
U2 - 10.52842/conf.caadria.2025.1.337
DO - 10.52842/conf.caadria.2025.1.337
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AN - SCOPUS:105023152478
SN - 9789887891840
T3 - Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia
SP - 337
EP - 346
BT - Architectural Informatics - Proceedings of the 30th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2025
A2 - Reinhardt, Dagmar
A2 - Globa, Anastasia
A2 - Rogeau, Nicolas
A2 - Herr, Christiane M
A2 - Chen, Jielin
A2 - Narahara, Taro
PB - The Association for Computer-Aided Architectural Design Research in Asia
Y2 - 22 March 2025 through 29 March 2025
ER -