- 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://gpbib.cs.ucl.ac.uk/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.",
