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