[1]WU Jun,ZHANG Jingjuan.Conflict resolution of multiple airplanes in free flight based on the genetic algorithm[J].CAAI Transactions on Intelligent Systems,2013,8(1):16-20.[doi:10.3969/j.issn.16730-4785.201210032]
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Conflict resolution of multiple airplanes in free flight  based on the genetic algorithm

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 8 Number of periods: 2013 1 Page number: 16-20 Column: 学术论文—智能系统 Public date: 2013-03-25
Title:
Conflict resolution of multiple airplanes in free flight  based on the genetic algorithm
Author(s):
WU Jun;  ZHANG Jingjuan
School of Instrument Science and Opt electronic Engineering, Beihang University, Beijing 100191, China
Keywords:
multiple airplanes;  free flight;  genetic algorithm;  conflict relief;  flight mechanism
CLC:
TP301.6
DOI:
10.3969/j.issn.16730-4785.201210032
Abstract:
In order to resolve the conflict among airplanes in free flight, the study proposed to examine a genetic algorithm to quickly solve the best route. The genetic algorithm was considered to be a simplification, generalization and strong robustness. By applying the genetic algorithm, the conflict relief among multiplanes can be resolved respectively by altering the heading, speed, and the effective flight mechanism when multiple airplanes are flying relatively at the same time. The simulation results show that the algorithm can achieve the optimal conflict relief route quickly by utilizing both methods, and if there is a conflict at a point among multiplanes, using the method of changing the heading is more applicable.
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