- 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",
- pages = "875--884",
- 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",
-
DOI = "
doi:10.1007/978-94-011-5576-2_67",
- 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",
- size = "10 pages",
- 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
Department of Architectural and Design Science, University of Sydney, NSW 2006, Australia",
