Patterns, heuristics for architectural design support: Making use of evolutionary modelling in design

Fernando, R, Drogemuller, R, Salim, F and Burry, J 2010, 'Patterns, heuristics for architectural design support: Making use of evolutionary modelling in design', in Dave, Bharat; Andrew I-kang Li, Ning Gu and Hyoung-June Park (ed.) New Frontiers: Proceedings of the 15th International Conference on Computer-Aided Architectureal Design Research in Asia CAADRIA 2010, Hong Kong, China, 7-10 April 2010, pp. 1-10.


Document type: Conference Paper
Collection: Conference Papers

Title Patterns, heuristics for architectural design support: Making use of evolutionary modelling in design
Author(s) Fernando, R
Drogemuller, R
Salim, F
Burry, J
Year 2010
Conference name 15th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA) 2010
Conference location Hong Kong, China
Conference dates 7-10 April 2010
Proceedings title New Frontiers: Proceedings of the 15th International Conference on Computer-Aided Architectureal Design Research in Asia CAADRIA 2010
Editor(s) Dave, Bharat; Andrew I-kang Li, Ning Gu and Hyoung-June Park
Publisher Association for Research in Computer-Aided Architectural Research in Asia (CAADRIA)
Place of publication Hong Kong, China
Start page 1
End page 10
Total pages 10
Abstract Software used by architectural and industrial designers - has moved from becoming a tool for drafting, towards use in verification, simulation, project management and project sharing remotely. In more advanced models, parameters for the designed object can be adjusted so a family of variations can be produced rapidly. With advances in computer aided design technology, numerous design options can now be generated and analyzed in real time. However the use of digital tools to support design as an activity is still at an early stage and has largely been limited in functionality with regard to the design process. To date, major CAD vendors have not developed an integrated tool that is able to both leverage specialized design knowledge from various discipline domains (known as expert knowledge systems) and support the creation of design alternatives that satisfy different forms of constraints. We propose that evolutionary computing and machine learning be linked with parametric design techniques to record and respond to a designer's own way of working and design history. It is expected that this will lead to results that impact on future work on design support systems - (ergonomics and interface) as well as implicit constraint and problem definition for problems that are difficult to quantify.
Subjects Digital and Interaction Design
Keyword(s) Design Support
Heuristics
Generative Modelling
Parametric Modelling
Evolutionary Computation
Copyright notice © 2010 The Authors
ISBN 9789881902610
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