• DocumentCode
    685185
  • Title

    Hybrid of evolutionary algorithm and multilevel paradigm to solve the satisfiability problem

  • Author

    Bouhmala, Noureddine ; Hjelmervik, Karina ; Overgard, Kjell Ivar

  • Author_Institution
    Technol. & Maritime Sci., Vestfold Univ. Coll., Vestfold, Norway
  • fYear
    2013
  • fDate
    28-30 Oct. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this work, a memetic algorithm that makes use of the multilevel paradigm for solving SAT problems is presented. The multilevel paradigm refers to the process of dividing large and difficult problems into smaller ones, which are hopefully much easier to solve, and then work backward towards the solution of the original problem, using a solution from a previous level as a starting solution at the next level. Results on real industrial instances are presented.
  • Keywords
    computability; evolutionary computation; SAT problems; evolutionary algorithm; memetic algorithm; multilevel paradigm; satisfiability problem; Artificial intelligence; Convergence; Evolutionary computation; Memetics; Neural networks; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Systems Management (IESM), Proceedings of 2013 International Conference on
  • Conference_Location
    Rabat
  • Type

    conf

  • Filename
    6761428