• DocumentCode
    2690514
  • Title

    A hybrid hopfield network-genetic algorithm approach for the lights-up puzzle

  • Author

    Ortiz-García, Emilio G. ; Salcedo-Sanz, Sancho ; Pérez-Bellido, Ángel M. ; Portilla-Figueras, Antonio

  • Author_Institution
    Univ. de Alcala, Madrid
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    1403
  • Lastpage
    1407
  • Abstract
    This paper presents a hybrid genetic algorithm for solving a logic-type puzzle known as lights-up puzzle. The algorithm uses a binary Hopfield neural network to solve part of the puzzle constraints. The genetic algorithm manages other set of constraint as it looks for good quality solution in term of the puzzle´s objective function. We show the good performance of our approach in a number of lights-up puzzles instances downloaded from the Internet.
  • Keywords
    Hopfield neural nets; computer games; games of skill; genetic algorithms; integer programming; linear programming; Internet; binary Hopfield neural network; genetic algorithm; integer linear programming; lights-up puzzle; logic-type puzzle; puzzle constraint; Evolutionary computation; Genetic mutations; Hopfield networks; hybrid genetic algorithms; lights-up puzzle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4424635
  • Filename
    4424635