Abstract
The purpose of this study is to develop an optimum design method for roof shapes that satisfy the conditions of both beauty and dynamics by using a GA (genetic algorithm). The plane form of the building is a rectangle, and the design target is a concrete roof that covers this plane. The roof shapes were evaluated from the viewpoints of stress values and beauty. The stress values were obtained by FEM (finite element method) analysis. Additionally, the relationship between the roof shapes and beauty was investigated using questionnaires based on computer graphics. These results were analyzed to formulate KANSEI evaluation rules that incorporated the beauty and the elements of form. By using these rules, the degree of beauty of the roof shapes created using the GA could be estimated. A synthetic evaluation value was estimated from the two evaluation values adopted in this study. The roof shape that exhibits the lowest synthetic evaluation value was created by the genetic operation.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2006 International Symposium on Evolving Fuzzy Systems, EFS'06 |
| Pages | 306-311 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2006 |
| Event | 2006 International Symposium on Evolving Fuzzy Systems, EFS'06 - Lake District Duration: 2006 Sep 7 → 2006 Sep 9 |
Other
| Other | 2006 International Symposium on Evolving Fuzzy Systems, EFS'06 |
|---|---|
| City | Lake District |
| Period | 06/9/7 → 06/9/9 |
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ASJC Scopus subject areas
- Artificial Intelligence
- Software
- Applied Mathematics
- Theoretical Computer Science
Cite this
Roof shape generation method for buildings using KANSEI evaluation rules. / Tsutsumi, Kazutoshi; Omori, Yasuharu; Sasaki, Keisuke.
Proceedings of the 2006 International Symposium on Evolving Fuzzy Systems, EFS'06. 2006. p. 306-311 4016736.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Roof shape generation method for buildings using KANSEI evaluation rules
AU - Tsutsumi, Kazutoshi
AU - Omori, Yasuharu
AU - Sasaki, Keisuke
PY - 2006
Y1 - 2006
N2 - The purpose of this study is to develop an optimum design method for roof shapes that satisfy the conditions of both beauty and dynamics by using a GA (genetic algorithm). The plane form of the building is a rectangle, and the design target is a concrete roof that covers this plane. The roof shapes were evaluated from the viewpoints of stress values and beauty. The stress values were obtained by FEM (finite element method) analysis. Additionally, the relationship between the roof shapes and beauty was investigated using questionnaires based on computer graphics. These results were analyzed to formulate KANSEI evaluation rules that incorporated the beauty and the elements of form. By using these rules, the degree of beauty of the roof shapes created using the GA could be estimated. A synthetic evaluation value was estimated from the two evaluation values adopted in this study. The roof shape that exhibits the lowest synthetic evaluation value was created by the genetic operation.
AB - The purpose of this study is to develop an optimum design method for roof shapes that satisfy the conditions of both beauty and dynamics by using a GA (genetic algorithm). The plane form of the building is a rectangle, and the design target is a concrete roof that covers this plane. The roof shapes were evaluated from the viewpoints of stress values and beauty. The stress values were obtained by FEM (finite element method) analysis. Additionally, the relationship between the roof shapes and beauty was investigated using questionnaires based on computer graphics. These results were analyzed to formulate KANSEI evaluation rules that incorporated the beauty and the elements of form. By using these rules, the degree of beauty of the roof shapes created using the GA could be estimated. A synthetic evaluation value was estimated from the two evaluation values adopted in this study. The roof shape that exhibits the lowest synthetic evaluation value was created by the genetic operation.
UR - http://www.scopus.com/inward/record.url?scp=34250701631&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34250701631&partnerID=8YFLogxK
U2 - 10.1109/ISEFS.2006.251172
DO - 10.1109/ISEFS.2006.251172
M3 - Conference contribution
SN - 0780397193
SN - 9780780397194
SP - 306
EP - 311
BT - Proceedings of the 2006 International Symposium on Evolving Fuzzy Systems, EFS'06
ER -