An Overview of Genetic Algorithms in Simulation Soccer

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "William R. Plant and Gerald Schaefer and 
                 Tomoharu Nakashima",
  title =        "An Overview of Genetic Algorithms in Simulation
  booktitle =    "2008 IEEE World Congress on Computational
  year =         "2008",
  editor =       "Jun Wang",
  pages =        "3897--3904",
  address =      "Hong Kong",
  month =        "1-6 " # jun,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  isbn13 =       "978-1-4244-1823-7",
  file =         "EC0824.pdf",
  DOI =          "doi:10.1109/CEC.2008.4631327",
  abstract =     "This paper discusses the use of genetic algorithms and
                 genetic programming within the simulation soccer
                 domain. Genetic algorithms (GAs) are based on the
                 Darwinian theory of evolution and provide techniques to
                 execute an effective search on a large range of
                 potential solutions to a specific problem. Genetic
                 Programming (GP) uses GA concepts to evolve a computer
                 program. We show how GAs and GP have been applied to
                 the challenging real-time and noisy domain of RoboCup
                 simulation soccer. Among others, genetic approaches can
                 be used to find appropriate actions for a soccer agent
                 during a game, to improve different aspects of team
                 strategy as well as to strengthen the ability of a
                 player or a team in training exercises.",
  keywords =     "genetic algorithms, genetic programming",
  notes =        "WCCI 2008 - A joint meeting of the IEEE, the INNS, the
                 EPS and the IET.",

Genetic Programming entries for William R Plant Gerald Schaefer Tomoharu Nakashima