An improved ant colony optimization approach for multi-aircraft escape maneuvers in the horizontal plane was proposed in this paper. An ant colony algorithm is a typical cluster algorithm, which is a new application in aircraft traffic collision avoidance system. A multi-aircraft horizontal maneuver model based on ant colony algorithm was proposed. The right maneuver angle as probability value was selected as the optimization parameter in the ant colony approach, which is a preference angle. And multiple simulation results showed that the improved ant colony algorithm made a great progress than the basic ant colony algorithm, which with the minimum maneuver cost in conflict escape. This improved ant colony optimization approach can apply in the next generation TCAS in horizontal RAs.


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    Titel :

    An improved ant colony optimization approach for multi-aircraft horizontal escape maneuvers


    Beteiligte:
    Xiao, Gang (Autor:in) / Gu, Bo (Autor:in) / Jing, Zhongliang (Autor:in) / Yu, Chaopeng (Autor:in)


    Erscheinungsdatum :

    2012-10-01


    Format / Umfang :

    670996 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch