Functional Scalability through Generative Representations: the Evolution of Table Designs

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Gregory S. Hornby",
  title =        "Functional Scalability through Generative
                 Representations: the Evolution of Table Designs",
  journal =      "Environment and Planning B: Planning and Design",
  year =         "2004",
  volume =       "31",
  number =       "4",
  pages =        "569--587",
  month =        jul,
  keywords =     "genetic algorithms, genetic programming,
                 representation, evolutionary design",
  ISSN =         "0265-8135",
  URL =          "",
  URL =          "",
  URL =          "",
  abstract =     "One of the main limitations for the functional
                 scalability of automated design systems is the
                 representation used for encoding designs. I argue that
                 generative representations, those which are capable of
                 reusing elements of the encoded design in the
                 translation to the actual artifact, are better suited
                 for automated design because reuse of building blocks
                 captures some design dependencies and improves the
                 ability to make large changes in design space. To
                 support this argument I compare a generative and a
                 nongenerative representation on a table-design problem
                 and find that designs evolved with the generative
                 representation have higher fitness and a more regular
                 structure. Additionally the generative representation
                 was found to capture better the height dependency
                 between table legs and also produced a wider range of
                 table designs.",

Genetic Programming entries for Gregory S Hornby