A practical decision process for building façade performance optimization by integrating machine learning and evolutionary algorithms
With the development of building design parameterization, more and more designers want to explore design options that optimize performance. However, the enormous time and costs that accompany optimization exploration are often beyond the reach of design practices. The application of machine learning...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-03-01
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| Series: | Journal of Asian Architecture and Building Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/13467581.2023.2244564 |