Automatic Evolution of Conceptual Building Architectures

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

@MastersThesis{Coia:mastersthesis,
  author =       "Corrado Coia",
  title =        "Automatic Evolution of Conceptual Building
                 Architectures",
  school =       "Brock University",
  year =         "2011",
  month =        nov,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://hdl.handle.net/10464/3961",
  URL =          "https://dr.library.brocku.ca/bitstream/handle/10464/3961/Brock_Coia_Corrado_2011.pdf",
  size =         "109 pages",
  abstract =     "This thesis describes research in which genetic
                 programming is used to automatically evolve shape
                 grammars that construct three dimensional models of
                 possible external building architectures. A completely
                 automated fitness function is used, which evaluates the
                 three dimensional building models according to
                 different geometric properties such as surface normals,
                 height, building footprint, and more. In order to
                 evaluate the buildings on the different criteria, a
                 multi-objective fitness function is used. The results
                 obtained from the automated system were successful in
                 satisfying the multiple objective criteria as well as
                 creating interesting and unique designs that a
                 human-aided system might not discover. In this study of
                 evolutionary design, the architectures created are not
                 meant to be fully functional and structurally sound
                 blueprints for constructing a building, but are meant
                 to be inspirational ideas for possible architectural
                 designs. The evolved models are applicable for today's
                 architectural industries as well as in the video game
                 and movie industries. Many new avenues for future work
                 have also been discovered and highlighted.",
}

Genetic Programming entries for Corrado Coia

Citations