Abstract
Architectural design is regarded as a challenging open ended activity aimed to transform an existing reality into a desired one. This transformation takes place via the generation of design alternatives. Digital morphogenesis techniques lend themselves to the task of producing design alternatives quicker and easily. In this paper, we introduce an interactive population-based model for evolving design alternatives. Our model enables designers to steer the trajectory of the evolutionary process. We use a population-based evolutionary approach that allows us to represent, evaluate and evolve design alternatives. We illustrate how the model is capable of generating a diverse space of alternatives, increasing the probability of finding unexpected designs. Finally we examine the results obtained, by defining measures of quality related to design intentions.
Original language | English |
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Title of host publication | SIMAUD'17, Proceedings of the Symposium on Simulation for Architecture and Urban Design |
Editors | Michela Turrin, Brady Peters, Timur Dogan, William O’Brien, Rudi Stouffs |
Place of Publication | San Diego SA USA |
Publisher | The Society for Modeling & Simulation International |
Pages | 33-40 |
Number of pages | 8 |
Edition | 11 |
ISBN (Electronic) | 9781510870185 |
DOIs | |
Publication status | Published - 2017 |
Externally published | Yes |
Event | Annual Symposium on Simulation for Architecture and Urban Design 2017 - Toronto, Canada Duration: 22 May 2017 → 24 May 2017 Conference number: 8th https://dl.acm.org/doi/proceedings/10.5555/3289787 (Proceedings) |
Publication series
Name | Simulation Series |
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Publisher | The Society for Modeling & Simulation International |
Number | 11 |
Volume | 49 |
ISSN (Print) | 0735-9276 |
Conference
Conference | Annual Symposium on Simulation for Architecture and Urban Design 2017 |
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Abbreviated title | SimAUD 2017 |
Country/Territory | Canada |
City | Toronto |
Period | 22/05/17 → 24/05/17 |
Internet address |
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Keywords
- Digital morphogenesis
- Evolutionary computing
- Genetic algorithm
- Interactive design