| id |
caadria2005_b_4c_b |
| authors |
Chang, Ting-Yuan |
| year |
2005 |
| title |
Shift the Style: Supporting Product Design through Evolving Styles |
| source |
CAADRIA 2005 [Proceedings of the 10th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 89-7141-648-3] New Delhi (India) 28-30 April 2005, vol. 2, pp. 240-245 |
| doi |
https://doi.org/10.52842/conf.caadria.2005.240
|
| summary |
How can we provide computational supports for product designers to actively utilize existing styles as driving force to achieve new designs? For a new style that can take the advantage from existing styles, we surveyed Case-Based Design and Case-Based Reasoning systems for product design and found discouraging results. We employ Learning Classifier Systems, a machine-learning paradigm, to perform automatic style classification. These classified styles are used to evolve new styles of designs. |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (28,306 bytes) |
| references |
Content-type: text/plain
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Chan, C.S. (2000)
 Can style be measured?
, Design Studies, vol. 21, no. 3, pp. 277–291
|
|
|
|
|
Chen, K. & Owen, C.L. (1997)
Form language and style description
, Design Studies, vol. 18, no. 3, pp. 249–274
|
|
|
|
|
Fenves, S.J., Rivard, H. & Gomez, N. (2000)
SEED-Config: a tool for conceptual structural design in a collaborative building design environment
, Artificial Intelligence in Engineering, vol. 14, no. 3, pp. 233–247
|
|
|
|
|
Flemming, U, & Aygen, Z. (2001)
A hybrid representation of architectural precedents
, Automation in Construction, vol. 10, no. 6, pp. 687–699
|
|
|
|
|
Gomez de Silva Garza, A. & Maher, M.L. (2001)
Using Evolutionary Methods for Design Case Adaptation
, ACADIA 2001, Buffalo (New York), pp. 180–191
|
|
|
|
|
Heylighen, A. & Neuckermans, H. (2001)
A case base of case-based design tools for architecture
, Computer-Aided Design, vol. 33, no. 14, pp. 1111–1122
|
|
|
|
|
Holmes, J.H., Durbin, D.R. & Winston, F.K. (2000)
The learning classifier system: an evolutionary computation approach to knowledge discovery in epidemiologic surveillance
, Artificial Intelligence in Medicine, vol. 19, no. —, pp. 53–74
|
|
|
|
|
Holmes, J.H., Lanzi, P.L., Stolzmann, W. & Wilson, S.W. (2002)
Learning classifier systems: new models, successful applications
, Information Processing Letters, vol. 82, no. —, pp. 23–30
|
|
|
|
|
Kuri, A. (1998)
An alternative model of genetic algorithms as learning machines
, Expert Systems with Applications, vol. 15, no. —, pp. 351–356
|
|
|
|
|
Liu, H., Tang, M. & Frazer, J.H. (2004)
Supporting creative design in a visual evolutionary computing environment
, Advances in Engineering Software, vol. 35, no. 5, no. —, pp. 261–271
|
|
|
|
|
Muller, W. & Pasman, G. (1996)
Typology and the organization of design knowledge
, Design Studies, vol. 17, no. 2, pp. 111–130
|
|
|
|
|
Sette, S. and Boullart, L. (2000)
An implementation of genetic algorithms for rule based machine
, Engineering Applications of Artificial Intelligence, vol. 13, no. —, pp. 381–390
|
|
|
|
|
Stefanowski, J. (2004)
An experimental evaluation of improving rule based classifiers with two approaches that change representations of learning examples
, Engineering Applications of Artificial Intelligence, vol. 17, no. —, pp. 439–445
|
|
|
|
|
Tsuchiya, T., Maeda, T., Matsubara, Y. & Nagamachi, M. (1996)
A fuzzy rule induction method using genetic algorithm
, International Journal of Industrial Ergonomics, vol. 18, no. 2-3, pp. 135–145
|
|
|
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| last changed |
2022/06/07 07:55 |
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