Architectural Optimization and Open Source Development: Nesting and Genetic Algorithms (2017)
article⁄Architectural Optimization and Open Source Development: Nesting and Genetic Algorithms (2017)
abstract⁄This research presents a general overview of performanceoriented architectural design and how the rise of parametric modeling and algorithmaided design enable an integrated environment for project design, simulation and optimization. For optimization processes, one of the most used methods in architectural problem solving is genetic algorithms GAs. However, as the use of GAs becomes more common in the architecture, it is possible to identify a lack of clarity about the methods and procedures operated by the algorithms. Thus, this research seeks to contribute to the field through the implementation of an open source optimization plugin whose method of implemented algorithms, a GA and a nesting algorithm, can be accessed for evaluation, improvement and adaptation to other architectural problems. In the same way, it discusses the relevance of the openness and clarity of the methods employed in optimization processes in architecture. The proposed plugin was tested in an experiment that verified the feasibility of the development of the open source plugin and the efficiency of the method in solving the chosen architectural problem.
keywords⁄algorithm-aided design,
optimization,
genetic algorithm,
nesting,
open source,
computational - artistic cultures,
generative system,
simulation-optimization,
design methods,
information processing,
2017
|
|
| Year |
2017 |
| Authors |
Landim, Gabriele; Digiandomenico, Dyego; Amaro, Jean; Pratschke, Anja; Tramontano, Marcelo; Toledo, Claudio. |
| Issue |
ACADIA 2017: DISCIPLINES & DISRUPTION |
| Pages |
340-349 |
| Library link |
N/A |
| Entry filename |
architectural-optimization-open-source-development |
