Evolved to Win

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Steven Gustafson",
  title =        "Evolved to Win",
  journal =      "Computational Intelligence Magazine, IEEE",
  year =         "2012",
  month =        aug,
  volume =       "7",
  number =       "3",
  pages =        "62--64",
  note =         "Evolved to Win by Moshe Sipper, 2011, Book Review",
  size =         "2 pages",
  abstract =     "This book contains 12 chapters, of which 8 are
                 descriptions of how the author used genetic programming
                 to solve different games. In order, the games Prof.
                 Sipper describes are lose checkers, chess end games,
                 search algorithms for regular chess, backgammon,
                 simulated Robocode,simulated racing cars, the puzzle
                 Rush Hour, and the puzzle FreeCell. Each chapter, and
                 one additional detailed chapter for lose checkers,
                 gives a comprehensive description on how the author
                 solved the game using genetic programming. The reader
                 can get a good understanding of the work and approach
                 used to solve the game before delving deeper into the
                 original conference and journal papers published by the
                 author for more rigorous descriptions and empirical
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/MCI.2012.2200629",
  ISSN =         "1556-603X",
  notes =        "Review of \cite{EvolvedToWin}.

                 Also known as \cite{6238497}",

Genetic Programming entries for Steven M Gustafson