• DocumentCode
    2216588
  • Title

    Advanced genetic operators in the context of evolutionary ontology

  • Author

    Matei, Oliviu ; Contras, Diana

  • Author_Institution
    Technical University of Cluj-Napoca, North University Centre of Baia Mare, Baia Mare, Romania
  • fYear
    2015
  • fDate
    25-28 May 2015
  • Firstpage
    9
  • Lastpage
    14
  • Abstract
    The concept of evolutionary ontology has been introduced recently. They are actually genetic algorithms which use ontologies instead of mathematical structures, such as bit strings or numbers. An ontology has a significant expressivity power, therefore it allows more complex genetic operators, beside the classical ones. In this article we introduce several such new genetic operators (intersection crossover, union crossover, composition crossover) and we demonstrate their feasibility.
  • Keywords
    Electronic mail; Encoding; Genetic algorithms; Genetics; Ontologies; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2015 IEEE Congress on
  • Conference_Location
    Sendai, Japan
  • Type

    conf

  • DOI
    10.1109/CEC.2015.7256868
  • Filename
    7256868