Abstract
This paper proposes a new method for multi-disciplinary optimisation of building spatial designs in the preliminary design stage. First it discusses two recently developed building spatial design optimisation methods, one using a super-structured approach and the other applying a superstructure free approach. Subsequently, a combination of the two methods into a new hybrid method is presented. A case study is demonstrated to compare the three methods based on their performance and the characteristics of their design evolution. First results show that the hybrid method could aid in the effective exploration of large design search spaces by selecting more confined design search spaces based on engineering knowledge.
| Original language | English |
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| Title of host publication | Intelligent computing in engineering. EG-ICE International workshop. 24TH 2017. |
| Subtitle of host publication | EG-ICE 2017 |
| Editors | Christian Koch, Walid Tizani, Jelena Ninić |
| Place of Publication | Nottingham |
| Publisher | University of Nottingham |
| Pages | 23-34 |
| Number of pages | 12 |
| ISBN (Electronic) | 9781510843455 |
| Publication status | Published - Jul 2017 |
| Event | 24th International Workshop on Intelligent Computing in Engineering (EG-ICE2017), 10-12 July 2017, Nottingham, UK - Engineering Science and Learning Centre, University of Nottingham, Nottingham, United Kingdom Duration: 10 Jul 2017 → 12 Jul 2017 Conference number: 24 https://www.nottingham.ac.uk/Conference/fac-eng/eg-ice2017/index.aspx |
Conference
| Conference | 24th International Workshop on Intelligent Computing in Engineering (EG-ICE2017), 10-12 July 2017, Nottingham, UK |
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| Abbreviated title | EG-ICE2017 |
| Country/Territory | United Kingdom |
| City | Nottingham |
| Period | 10/07/17 → 12/07/17 |
| Internet address |
Keywords
- Super-Structure
- Optimisation
- Building Spatial Design
- Hybridisation