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Regular Grammar Transformation Using Graph Distance Computed by GA

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F10%3A00174779" target="_blank" >RIV/68407700:21260/10:00174779 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Regular Grammar Transformation Using Graph Distance Computed by GA

  • Original language description

    This article introduce the method how to compute regular grammars distances. Grammars are equivalent to finite states machines and they are represented by oriented graphs. Then the grammar distance is defined as graph distance between two graphs (finitestate machines). The computation itself is done by the genetic algorithm because the exhaustive graph comparison leads to combinatorial explosion. The grammar transformation is based on optimal mapping nonterminal symbols which is a product of the distance computation. Transformation steps are given by differences identified during the distance computation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Mendel 2010

  • ISBN

    978-80-214-4120-0

  • ISSN

    1803-3814

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    86-90

  • Publisher name

    VUT v Brně

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jun 23, 2010

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000288144100013