All Outputs (3)

Meta-parametric design (2016)
Journal Article
Harding, J., & Shepherd, P. (2017). Meta-parametric design. Design Studies, 52, 73-95. https://doi.org/10.1016/j.destud.2016.09.005

© 2016 Elsevier Ltd 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... Read More about Meta-parametric design.

Evolving parametric models using genetic programming with artificial selection (2016)
Presentation / Conference
Harding, J. (2016, August). Evolving parametric models using genetic programming with artificial selection. Paper presented at 34th eCAADe Conference, 2016, Oulu, Finland

Evolutionary methods with artificial selection have been shown to be a useful computer-human technique for exploring wide design spaces with unknown goals. This paper investigates a similar approach in the evolution of visual programs currently used... Read More about Evolving parametric models using genetic programming with artificial selection.

Dimensionality reduction for parametric design exploration (2016)
Book Chapter
Harding, J. (2016). Dimensionality reduction for parametric design exploration. In S. Adriaenssens, F. Gramazio, M. Kohler, A. Menges, & M. Pauly (Eds.), Advances in Architectural Geometry 2016 (274-287). Zurich, Switzerland: vdf Hochschulverlag AG an der ETH Zurich

In architectural design, parametric models often include numeric parameters that can be adjusted to explore different design options. The resulting design space can be easily displayed to the user if the number of parameters is low, for example using... Read More about Dimensionality reduction for parametric design exploration.