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A Case Study on Grammatical-Based Representation for Regular Expression Evolution

  • Antonio González-Pardo
  • David F. Barrero
  • David Camacho
  • María D. R-Moreno
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 71)

Abstract

Regular expressions, or simply regex, have been widely used as a powerful pattern matching and text extractor tool through decades. Although they provide a powerful and flexible notation to define and retrieve patterns from text, the syntax and the grammatical rules of these regex notations are not easy to use, and even to understand. Any regex can be represented as a Deterministic or Non-Deterministic Finite Automata; so it is possible to design a representation to automatically build a regex, and a optimization algorithm able to find the best regex in terms of complexity. This paper introduces both, a graph-based representation for regex, and a particular heuristic-based evolutionary computing algorithm based on grammatical features from this language in a particular data extraction problem.

Keywords

Regular Expressions Grammatical-based representation Evolutionary algorithms 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Antonio González-Pardo
    • 1
  • David F. Barrero
    • 2
  • David Camacho
    • 1
  • María D. R-Moreno
    • 2
  1. 1.Departamento de InformáticaUniversidad Autónoma de MadridMadridSpain
  2. 2.Departamento de AutomáticaUniversidad de AlcaláAlcalá de Henares, MadridSpain

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