Multiphase Genetic Programming: A case Study in Sumo Maneuver Evolution

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@Article{LIU:2004:IJPRAI,
  author =       "Jiming Liu and Shiwu Zhang",
  title =        "Multiphase Genetic Programming: A case Study in Sumo
                 Maneuver Evolution",
  journal =      "International Journal of Pattern Recognition and
                 Artificial Intelligence",
  year =         "2004",
  volume =       "18",
  number =       "4",
  pages =        "665--684",
  keywords =     "genetic algorithms, genetic programming, Multiphase
                 genetic programming (MPGP), sumo manoeuvre evolution,
                 adaptive behaviour",
  DOI =          "doi:10.1142/S0218001404003319",
  abstract =     "In this paper, we describe a new evolutionary
                 computation approach, called multiphase genetic
                 programming (MPGP). The special features of this
                 approach lie in its variable-granularity
                 representations of chromosomes and their corresponding
                 genetic operations. In the paper, we provide an
                 overview of the MPGP approach as well as details on how
                 the sumo manoeuvre evolution experiments are carried
                 out and how the MPGP-based case study differs from
                 others.",
  notes =        "IJPRAI Partial results presented in this paper have
                 been published in Jiming Liu and Shiwu Zhang,
                 Multi-phase sumo maneuver learning, Robotica 22 (2004)
                 61-75, \cite{DBLP:journals/robotica/LiuZ04}",
}

Genetic Programming entries for Jiming Liu Shiwu Zhang

Citations