Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/927121

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Title
A framework to integrate generative design techniques for enhancing design automation
Author/Creator
Gu, Ning;  Singh, Vishal;  Merrick, Kathryn
Institution
The University of Newcastle. Faculty of Engineering & Built Environment, School of Architecture and Built Environment
Description
This paper presents and demonstrates a computational framework that facilitates the integration of different generative design techniques to enhance design automation. The framework is based on the evaluation and comparison of four main generative design algorithms. Effectiveness of the framework is demonstrated through an example scenario. Compared to most existing generat.ive design systems that are based on one of the techniques, which often bias the generative design process in a certain direction, new generative design systems by applying the proposed framework will provide the trigger at each stage as demonstrated in the example scenario for the designer to perceive the emergent designs from different viewpoints. This advantage will enhance design generation and automation by assisting the designer in making more informed decisions in understanding and selecting the suitable generative techniques for different design needs.
Relation
15th International Conference on Computer-Aided Architectural Design in Asia (CAADRIA 2010). New Frontiers: Proceedings of the 15th International Conference on Computer-Aided Architectural Design in Asia (Hong Kong 7-9 April, 2010) p. 127-136
Date
2010
Publisher
Association of Computer-Aided Architectural Design Research in Aisa (CAADRIA)
Keyword(s)
generative design systems;  shape grammars;  L-systems;  cellular automata;  genetic algorithms
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/927121
Identifier
ISBN:97898811902610
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Subject
"A framework to integrate generative design techniques for enhancing design automation"
 
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