A Genetic Programming Approach To The Space Layout Planning Problem

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@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