Applying Genetic Programming to Civil Engineering in the Improvement of Models, Codes and Norms

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{conf/iberamia/PerezMRA08,
  title =        "Applying Genetic Programming to Civil Engineering in
                 the Improvement of Models, Codes and Norms",
  author =       "Juan L. Perez and Monica Miguelez and 
                 Juan R. Rabunal and Fernando Martinez Abella",
  bibdate =      "2008-10-20",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/iberamia/iberamia2008.html#PerezMRA08",
  booktitle =    "11th Ibero-American Conference on AI, IBERAMIA 2008",
  publisher =    "Springer",
  year =         "2008",
  volume =       "5290",
  editor =       "Hector Geffner and Rui Prada and 
                 Isabel Machado Alexandre and Nuno David",
  isbn13 =       "978-3-540-88308-1",
  pages =        "452--460",
  series =       "Lecture Notes in Computer Science",
  DOI =          "doi:10.1007/978-3-540-88309-8_46",
  address =      "Lisbon, Portugal",
  month =        oct # " 14-17",
  keywords =     "genetic algorithms, genetic programming, Information
                 Extraction, Evolutionary Computation, Civil
                 Engineering, Concrete Creep",
  abstract =     "This paper presents the use of Evolutionary
                 Computation (EC) techniques, and more specifically the
                 Genetic Programming (GP) technique, to Civil
                 Engineering. This technique is applied here to a
                 phenomenon that models the performance of structural
                 concrete under controlled conditions throughout time.
                 Several modifications were applied to the classic GP
                 algorithm given the temporal nature of the case to be
                 studied; one of these modifications was the
                 incorporation of a new operator for providing the
                 temporal ability for this specific case. The fitness
                 function has been also modified by adding a security
                 coefficient that adjusts the GP-obtained expressions
                 and penalises the expressions that return unstable
                 values.",
}

Genetic Programming entries for Juan Luis Perez Monica Miguelez Juan Ramon Rabunal Dopico Fernando Martinez Abella

Citations