Evolution of Architectural Floor Plans

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

@MastersThesis{Flack:mastersthesis,
  author =       "Robert W. J. Flack",
  title =        "Evolution of Architectural Floor Plans",
  school =       "Brock University",
  year =         "2010",
  type =         "Master of Science",
  address =      "Ontario, Canada",
  month =        Oct,
  keywords =     "genetic algorithms, genetic programming",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://dr.library.brocku.ca/handle/10464/3409",
  URL =          "http://dr.library.brocku.ca/bitstream/handle/10464/3409/Brock_Flack_Robert_2011.pdf",
  URL =          "http://www.cosc.brocku.ca/~bross/FloorPlans/",
  size =         "119 pages",
  abstract =     "Layout planning is a process of sizing and placing
                 rooms (e.g. in a house) while attempting to optimize
                 various criteria. Often there are conflicting criteria
                 such as construction cost, minimizing the distance
                 between related activities, and meeting the area
                 requirements for these activities. The process of
                 layout planning has mostly been done by hand, with a
                 handful of attempts to automate the process. This
                 thesis explores some of these past attempts and
                 describes several new techniques for automating the
                 layout planning process using evolutionary computation.
                 These techniques are inspired by the existing methods,
                 while adding some of their own innovations. Additional
                 experiments are done to test the possibility of
                 allowing polygonal exteriors with rectilinear interior
                 walls. Several multi-objective approaches are used to
                 evaluate and compare fitness. The evolutionary
                 representation and requirements specification used
                 provide great flexibility in problem scope and depth
                 and is worthy of considering in future layout and
                 design attempts. The system outlined in this thesis is
                 capable of evolving a variety of floor plans conforming
                 to functional and geometric specifications. Many of the
                 resulting plans look reasonable even when compared to a
                 professional floor plan. Additionally polygonal and
                 multi-floor buildings were also generated.",
  notes =        "Also available as Brock University technical report
                 CS-11-03, January 2011
                 http://www.cosc.brocku.ca/files/downloads/research/cs1103.pdf

                 RobGP http://robgp.sourceforge.net/ supervised by Brian
                 J. Ross",
}

Genetic Programming entries for Robert W J Flack

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