Aircraft Trajectory Prediction Based on Genetic Programming

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@InProceedings{Zhang:2016:ICISCE,
  author =       "Caikun Zhang and Chuan Shi and Wenfu Liu and 
                 Xuan Zhang",
  booktitle =    "2016 3rd International Conference on Information
                 Science and Control Engineering (ICISCE)",
  title =        "Aircraft Trajectory Prediction Based on Genetic
                 Programming",
  year =         "2016",
  pages =        "158--162",
  abstract =     "Because the traditional aircraft trajectory prediction
                 methods are difficult to solve the complex trajectory
                 fitting function and the accuracy of predicted
                 trajectory is not high enough, aircraft trajectory
                 prediction based on genetic programming is proposed in
                 this paper. First of all, aircraft flight trajectory
                 data is normalised processing. And then the reasonable
                 set of function and fitting evaluation standard are
                 established. Finally the flight trajectory is predicted
                 by using genetic programming algorithm. The simulation
                 results show that the prediction accuracy of this
                 algorithm is fairly high, and fitting trajectory using
                 this algorithm accords with the actual flight
                 trajectory.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/ICISCE.2016.44",
  month =        jul,
  notes =        "Also known as \cite{7726141}",
}

Genetic Programming entries for Caikun Zhang Chuan Shi Wenfu Liu Xuan Zhang

Citations