Evolving players that use selective game-tree search with genetic programming

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

  author =       "Amit Benbassat and Moshe Sipper",
  title =        "Evolving players that use selective game-tree search
                 with genetic programming",
  booktitle =    "GECCO 2012 Late breaking abstracts workshop",
  year =         "2012",
  editor =       "Katya Rodriguez and Christian Blum",
  isbn13 =       "978-1-4503-1178-6",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "631--632",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Philadelphia, Pennsylvania, USA",
  DOI =          "doi:10.1145/2330784.2330894",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "We present the application of genetic programming (GP)
                 to evolving game-tree search in board games. Our work
                 expands previous results in evolving board-state
                 evaluation functions for multiple board games, now
                 evolving a search-guiding evaluation function alongside
                 it. Our system implements strongly typed GP trees,
                 explicitly defined introns, and a selective directional
                 crossover method.",
  notes =        "Also known as \cite{2330894} Distributed at

                 ACM Order Number 910122.",

Genetic Programming entries for Amit Benbassat Moshe Sipper