An Embodied Evolutionary System to Control a Population of Mobile Robots using Genetic Programming

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@Misc{oai:CiteSeerX.psu:10.1.1.453.2194,
  title =        "An Embodied Evolutionary System to Control a
                 Population of Mobile Robots using Genetic Programming",
  author =       "Anderson Luiz {Fernandes Perez} and 
                 Guilherme Bittencourt and Mauro Roisenberg",
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 robotic, distributed genetic programming, embodied
                 evolutionary system",
  annote =       "The Pennsylvania State University CiteSeerX Archives",
  bibsource =    "OAI-PMH server at citeseerx.ist.psu.edu",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:10.1.1.453.2194",
  rights =       "Metadata may be used without restrictions as long as
                 the oai identifier remains attached to it.",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.453.2194",
  URL =          "http://www.das.ufsc.br/~gb/publications05-07/asai07.pdf",
  size =         "10 pages",
  abstract =     "In this paper, an embodied evolutionary system, able
                 to control a population of mobile robots, is proposed.
                 This system should be able to execute tasks such as
                 collision-free navigation, box pushing and predator and
                 prey. The proposed system has the following
                 characteristics: i) it extends the traditional genetic
                 programming algorithm to allow the evolution in a
                 population of physical robots; ii) the evolutionary
                 process occurs in an asynchronously way among the
                 robots in the population; iii) it is fail-safe, because
                 it allows the continuation of the evolutionary process
                 even if only one robot remains in the population of
                 robots; iv) it saves the information about the more
                 adapted individuals in a kind of memory; v) it has an
                 execution and management environment that is
                 independent of the evolutionary process.",
  notes =        "2007? The 36th International Conference of the
                 Argentine Computer Science and Operational Research
                 Society, Mar del Plata, Argentina 2007?",
}

Genetic Programming entries for Anderson Luiz Fernandes Perez Guilherme Bittencourt Mauro Roisenberg

Citations