Meta-Parametric Design

John E. Harding, Paul Shepherd

Research output: Contribution to journalArticlepeer-review

59 Citations (SciVal)
194 Downloads (Pure)


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 lowlevel 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.
Original languageEnglish
Pages (from-to)73-95
JournalDesign Studies
Early online date18 Oct 2016
Publication statusPublished - 1 Sept 2017


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