Meta-Parametric Design

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Harding:2016:DS,
  author =       "John E. Harding and Paul Shepherd",
  title =        "Meta-Parametric Design",
  journal =      "Design Studies",
  year =         "2016",
  ISSN =         "0142-694X",
  DOI =          "doi:10.1016/j.destud.2016.09.005",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0142694X16300655",
  abstract =     "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.",
  keywords =     "genetic algorithms, genetic programming, parametric
                 design, conceptual design, design cognition,
                 human-computer interaction",
}

Genetic Programming entries for John E Harding Paul Shepherd

Citations