Title :
Research on Algorithm of Conflict Detection and Resolution in Free Flight Based on Genetic Algorithms
Author :
Shu, Hongping ; Liang, CAO ; Xu, Zhenming ; Kui, Liu
Author_Institution :
Dept. of Comput., Chengdu Univ. of Inf. Technol., Chengdu
Abstract :
The research background of free flight is discussed, the substance of the conflict detection and resolution in free flight based on genetic algorithms is studied, and a mathematical model is constructed in the paper. The emulation results of applications show that the genetic algorithms is suitable and positive to detect and resolute the conflict in free flight. The flight courses of aircrafts, which are as close as possible to the theoretical direct flight course of the least-fuel-consumption, can be generated by genetic algorithms.
Keywords :
aerospace engineering; genetic algorithms; Federal Aviation Administration; air transportation flow; aircrafts flight courses; conflict detection algorithm; conflict resolution algorithm; free flight; genetic algorithms; least-fuel-consumption; mathematical model; Air transportation; Aircraft; Airplanes; Computer science; Computer science education; Educational technology; Electronic mail; Genetic algorithms; Information technology; Uncertainty; Conflict; Detection; Free Flight; Genetic Algorithms; Resolution.;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.259