A Genetic Programming Approach To The Space Layout Planning Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{oai:CiteSeerPSU:315959,
  title =        "A Genetic Programming Approach To The Space Layout
                 Planning Problem",
  author =       "Romuald Jagielski and John S. Gero",
  booktitle =    "CAAD Futures 97",
  year =         "1997",
  editor =       "Richard Junge",
  address =      "Technical University Munich, Germany",
  month =        "4-6 " # aug,
  publisher =    "Kluwer Academic Publishers",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "0-7923-4726-9",
  URL =          "http://people.arch.usyd.edu.au/~john/publications/1997/97JagielskiGeroCAADFutur.pdf",
  URL =          "http://citeseer.ist.psu.edu/315959.html",
  citeseer-references = "oai:CiteSeerPSU:99515; oai:CiteSeerPSU:212034;
                 oai:CiteSeerPSU:283749",
  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:315959",
  rights =       "unrestricted",
  abstract =     "The space layout planning problem belongs to the class
                 of NP-hard problems with a wide range of practical
                 applications. Many algorithms have been developed in
                 the past, however recently evolutionary techniques have
                 emerged as an alternative approach to their solution.
                 In this paper, a genetic programming approach, one
                 variation of evolutionary computation, is discussed. A
                 representation of the space layout planning problem
                 suitable for genetic programming is presented along
                 with some implementation details and results.",
  notes =        "http://www.caadfutures.arch.tue.nl/proceedings_97.htm",
}

Genetic Programming entries for Romuald Jagielski John S Gero

Citations