Regular expression generation through grammatical evolution

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

@InProceedings{1274089,
  author =       "Ahmet Cetinkaya",
  title =        "Regular expression generation through grammatical
                 evolution",
  booktitle =    "Genetic and Evolutionary Computation Conference
                 {(GECCO2007)} workshop program",
  year =         "2007",
  month =        "7-11 " # jul,
  editor =       "Tina Yu",
  isbn13 =       "978-1-59593-698-1",
  pages =        "2643--2646",
  address =      "London, United Kingdom",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution, regular expressions",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2007/docs/p2643.pdf",
  DOI =          "doi:10.1145/1274000.1274089",
  publisher =    "ACM Press",
  publisher_address = "New York, NY, USA",
  abstract =     "This study investigates automatic regular expression
                 generation using Grammatical Evolution. The software
                 implementation is based on a subset of POSIX regular
                 expression rules. For fitness calculation, a multiline
                 text file is supplied. Lines which are required to
                 match with generated regular expressions are specified
                 beforehand. Fitness is evaluated according to the
                 successful match results. Using this fitness evaluation
                 strategy, preliminary tests have been performed on
                 different files. Results indicate that the Grammatical
                 Evolution approach to automatic generation of regular
                 expressions is promising.",
  notes =        "Distributed on CD-ROM at GECCO-2007 ACM Order No.
                 910071

                 Haskell, match HTML anchor tags in one file (266
                 lines), subset of POSIX, Pop=100.",
}

Genetic Programming entries for Ahmet Cetinkaya

Citations