Solving Sudoku with the GAuGE System

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{eurogp06:NocolauRyan,
  author =       "Miguel Nicolau and Conor Ryan",
  title =        "Solving Sudoku with the {GAuGE} System",
  editor =       "Pierre Collet and Marco Tomassini and Marc Ebner and 
                 Steven Gustafson and Anik\'o Ek\'art",
  booktitle =    "Proceedings of the 9th European Conference on Genetic
                 Programming",
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "3905",
  year =         "2006",
  address =      "Budapest, Hungary",
  month =        "10 - 12 " # apr,
  organisation = "EvoNet",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-33143-3",
  pages =        "213--224",
  URL =          "http://link.springer.de/link/service/series/0558/papers/3905/39050213.pdf",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  abstract =     "This paper presents an evolutionary approach to
                 solving Sudoku puzzles. Sudoku is an interesting
                 problem because it is a challenging logical puzzle that
                 has previously only been solved by computers using
                 various brute force methods, but it is also an abstract
                 form of a timetabling problem, and is scalably
                 difficult. A different take on the problem, motivated
                 by the desire to be able to generalise it, is
                 presented. The GAuGE system was applied to the problem,
                 and the results obtained show that its mapping process
                 is well suited for this class of problems.",
  notes =        "Part of \cite{collet:2006:GP} EuroGP'2006 held in
                 conjunction with EvoCOP2006 and EvoWorkshops2006

                 Blind Sudoku; the puzzle is never available to the
                 algorithm.",
}

Genetic Programming entries for Miguel Nicolau Conor Ryan