Multi-robot cooperation and competition with genetic programming

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

  author =       "Kai Zhao and Jue Wang",
  title =        "Multi-robot cooperation and competition with genetic
  booktitle =    "Genetic Programming, Proceedings of EuroGP'2000",
  year =         "2000",
  editor =       "Riccardo Poli and Wolfgang Banzhaf and 
                 William B. Langdon and Julian F. Miller and Peter Nordin and 
                 Terence C. Fogarty",
  volume =       "1802",
  series =       "LNCS",
  pages =        "349--360",
  address =      "Edinburgh",
  publisher_address = "Berlin",
  month =        "15-16 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming: Poster",
  ISBN =         "3-540-67339-3",
  URL =          "",
  DOI =          "doi:10.1007/978-3-540-46239-2_27",
  abstract =     "In this paper, we apply Genetic Programming (GP) on
                 multi-robot cooperation and competition problem. GP is
                 taken as a real time planning method in stead of
                 learning method. Robot all use GP to make a plan and
                 then walk according to the plan. The environment is
                 composed of two parts, natural environment, which is
                 the obstacles, and social environment that refers to
                 other robots. The cooperation process is accomplished
                 by robot's adaptation to both of them. In spite of the
                 fact that there is no communication among robots and
                 little knowledge about how to cooperate well, the
                 adaptive capability in dynamic environment enable
                 robots to complete a common task or solve the
                 competition. Several experiments are taken and the
                 results are shown.",
  notes =        "EuroGP'2000, part of \cite{poli:2000:GP}",

Genetic Programming entries for Kai Zhao Jue Wang