Evolved to Win

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@Book{EvolvedToWin,
  author =       "Moshe Sipper",
  title =        "Evolved to Win",
  publisher =    "Lulu",
  year =         "2011",
  month =        "28 " # nov,
  note =         "available at http://www.lulu.com/",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-4709-7283-7",
  URL =          "http://www.lulu.com/product/ebook/evolved-to-win/18702814",
  URL =          "http://www.lulu.com/product/paperback/evolved-to-win/18702740",
  URL =          "http://www.moshesipper.com/evolved-to-win.html",
  URL =          "http://www.moshesipper.com/uploads/3/0/8/3/30831095/evolvedtowin.pdf",
  abstract =     "Recent years have seen a sharp increase in the
                 application of evolutionary computation techniques
                 within the domain of games. Situated at the forefront
                 of this research tidal wave, Moshe Sipper and his group
                 have produced a plethora of award-winning results, in
                 numerous games of diverse natures, evidencing the
                 success and efficiency of evolutionary algorithms in
                 general, and genetic programming in particular, at
                 producing top-notch, human-competitive game strategies.
                 From classic chess and checkers, through simulated car
                 racing and virtual warfare, to mind-bending puzzles,
                 this book serves both as a tour de force of the
                 research landscape and as a guide to the application of
                 evolutionary computation within the domain of games.",
  notes =        "Reviewed by \cite{Gosling:2012:GPEM},
                 \cite{Gustafson:2012:ieeeCIM}",
  size =         "193 pages",
}

Genetic Programming entries for Moshe Sipper

Citations