• DocumentCode
    2216609
  • Title

    Solving the light up with Ant Colony Optimization

  • Author

    Rosberg, Igor ; Goldbarg, Elizabeth ; Goldbarg, Marco

  • Author_Institution
    Dept. of Inf. & Appl. Math., Univ. Fed. do Rio Grande do Norte, Natal, Brazil
  • fYear
    2011
  • fDate
    5-8 June 2011
  • Firstpage
    566
  • Lastpage
    573
  • Abstract
    A number of single-player games have been proven to be computationally difficult, including the Light Up. Although, recently, such single-player games have received considerable attention from the scientific community, only a few papers address the Light Up. This paper presents a two phase Ant Colony Optimization algorithm to solve this puzzle. In the first phase, logical rules are applied to the game grid in order to restrict the space searched by the algorithm in the second phase. The approach was applied to thirty-two game instances with grids ranging from 7×7 to 40×30 solving them efficiently.
  • Keywords
    computer games; optimisation; ant colony optimization; game grid; light up; puzzle; scientific community; single-player games; Algorithm design and analysis; Ant colony optimization; Distance measurement; Equations; Evolutionary computation; Games; Programming; ant colony optimization; light up; logical rules; two-phase algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2011 IEEE Congress on
  • Conference_Location
    New Orleans, LA
  • ISSN
    Pending
  • Print_ISBN
    978-1-4244-7834-7
  • Type

    conf

  • DOI
    10.1109/CEC.2011.5949669
  • Filename
    5949669