Autonomous Controller Design for Unmanned Aerial Vehicles using Multi-objective Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{oh:2004:acdfuavumgp,
  title =        "Autonomous Controller Design for Unmanned Aerial
                 Vehicles using Multi-objective Genetic Programming",
  author =       "Choong K. Oh and Gregory J. Barlow",
  pages =        "1538--1545",
  booktitle =    "Proceedings of the 2004 IEEE Congress on Evolutionary
                 Computation",
  year =         "2004",
  publisher =    "IEEE Press",
  month =        "20-23 " # jun,
  address =      "Portland, Oregon",
  ISBN =         "0-7803-8515-2",
  keywords =     "genetic algorithms, genetic programming, Real-world
                 applications, Multiobjective evolutionary algorithms,
                 multi-objective optimisation, unmanned aerial vehicles,
                 evolutionary robotics",
  URL =          "http://www.cs.cmu.edu/~gjb/includes/publications/conference/oh2004-cec/oh2004-cec.pdf",
  DOI =          "doi:10.1109/CEC.2004.1331079",
  abstract =     "Autonomous navigation controlers were developed for
                 fixed wing unmanned aerial vehicle (UAV) applications
                 using multi-objective genetic programming (GP). We
                 designed four fitness functions derived from flight
                 simulations and used multi-objective GP to evolve
                 controllers able to locate a radar source, navigate the
                 UAV to the source efficiently using on-board sensor
                 measurements, and circle closely around the emitter.
                 Controllers were evolved for three different kinds of
                 radars: stationary, continuously emitting radars,
                 stationary, intermittently emitting radars, and mobile,
                 continuously emitting radars. We selected realistic
                 flight parameters and sensor inputs to aid in the
                 transference of evolved controllers to physical UAVs.",
  notes =        "CEC 2004 - A joint meeting of the IEEE, the EPS, and
                 the IEE.",
}

Genetic Programming entries for Choong K Oh Gregory J Barlow

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