Meta-parametric design

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Harding, J. E. orcid id iconORCID: https://orcid.org/0000-0002-5253-5862 and Shepherd, P. (2017) Meta-parametric design. Design Studies, 52. pp. 73-95. ISSN 0142694X doi: 10.1016/j.destud.2016.09.005

Abstract/Summary

Parametric modelling software often maintains an explicit history of design development in the form of a graph. However, as the graph increases in complexity it quickly becomes inflexible and unsuitable for exploring a wide design space. By contrast, implicit low-level rule systems can offer wide design exploration due to their lack of structure, but often act as black boxes to human observers with only initial conditions and final designs cognisable. In response to these two extremes, the authors propose a new approach called Meta-Parametric Design, combining graph-based parametric modelling with genetic programming. The advantages of this approach are demonstrated using two real case-study projects that widen design exploration whilst maintaining the benefits of a graph representation.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/79349
Identification Number/DOI 10.1016/j.destud.2016.09.005
Refereed Yes
Divisions Science > School of the Built Environment > Architecture
Science > School of the Built Environment > Urban Living group
Publisher Elsevier
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