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Regular expression generation through grammatical evolution

dc.contributor.authorCetinkaya, Ahmet
dc.date.accessioned2026-01-25T03:34:26Z
dc.date.issued2007-07-07
dc.description.abstractThis 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.
dc.description.urihttps://doi.org/10.1145/1274000.1274089
dc.description.urihttp://www.cs.bham.ac.uk/~wbl/biblio/gecco2007/docs/p2643.pdf
dc.description.urihttps://dx.doi.org/10.1145/1274000.1274089
dc.identifier.doi10.1145/1274000.1274089
dc.identifier.endpage2646
dc.identifier.openairedoi_dedup___::56e34331062094b6ac4d8ac294e7b74a
dc.identifier.startpage2643
dc.identifier.urihttps://hdl.handle.net/11527/44051
dc.publisherACM
dc.relation.ispartofProceedings of the 9th annual conference companion on Genetic and evolutionary computation
dc.rightsOPEN
dc.titleRegular expression generation through grammatical evolution
dc.typeArticle
dspace.entity.typePublication

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