Application of Genetic Programming for Generation of Controllers Represented by Automata

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Davydov:2009:INCOM,
  author =       "Andrey Davydov and Dmitry Sokolov and Fedor Tsarev and 
                 Anatoly Shalyto",
  title =        "Application of Genetic Programming for Generation of
                 Controllers Represented by Automata",
  booktitle =    "13th IFAC Symposium on Information Control Problems in
                 Manufacturing, INCOM 2009",
  year =         "2009",
  pages =        "Paper We--C7.4",
  address =      "Moscow, Russia",
  month =        jun # " 3-5",
  note =         "Invited Session {"}Advanced Software Engineering in
                 Industrial Automation II{"} (We-C7)",
  keywords =     "genetic algorithms, genetic programming",
  annote =       "The Pennsylvania State University CiteSeerX Archives",
  bibsource =    "OAI-PMH server at citeseerx.ist.psu.edu",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:10.1.1.557.8188",
  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=10.1.1.557.8188",
  URL =          "http://is.ifmo.ru/articles_en/_ifac-2009.pdf",
  URL =          "https://ifac.papercept.net/conferences/scripts/abstract.pl?ConfID=8&Number=385",
  abstract =     "This paper proposes an application of genetic
                 programming for construction of state machines
                 controlling systems with complex behaviour. Application
                 of this method is illustrated on example of unmanned
                 aerial vehicle (UAV) control. It helps to find control
                 strategies of collaborative behaviour of UAV teams.
                 Multi-agent approach is used, where every agent that
                 controls a UAV is presented by a deterministic finite
                 state machine. Two representations of finite state
                 machines are used: abridged transition tables and
                 decision trees. Novel algorithms for fixing connections
                 between states and for removing unachievable branches
                 of trees are proposed.",
  notes =        "St Petersburg State University of IT, Mechanics and
                 Optics",
}

Genetic Programming entries for Andrey Davydov Dmitry Sokolov Fedor Tsarev Anatoly Abramovich Shalyto

Citations