Abstract
Building spatial design is in practice a co-evolutionary design process. To optimize a building spatial design, an evolutionary algorithm can be used, but the search space is large and complex. In simulations of co-evolutionary design processes the size and complexity are not hindering the search. Such simulations are in the presented work proposed for finding search spaces that are small but still contain high quality solutions.
Original language | English |
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Title of host publication | Advances in Structural and Multidisciplinary Optimization |
Subtitle of host publication | Proceedings of the 13th World Congress of Structural and Multidisciplinary Optimization (WCSMO13) |
Editors | Xu Guo, Hai Huang |
Place of Publication | Beijing |
Publisher | ISSMO |
Pages | 110-115 |
Number of pages | 6 |
ISBN (Electronic) | 978-7-89437-207-9 |
Publication status | Published - 31 May 2019 |
Event | World Congress of Structural and Multidisciplinary Optimization - China National Convention Center, Beijing, China Duration: 20 May 2019 → 24 May 2019 Conference number: 13 http://www.wcsmo13.org |
Conference
Conference | World Congress of Structural and Multidisciplinary Optimization |
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Abbreviated title | WCSMO |
Country/Territory | China |
City | Beijing |
Period | 20/05/19 → 24/05/19 |
Internet address |
Keywords
- building design
- co-evolutionary process
- evolutionary algorithm
- structural design
- thermal design